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Oleg Maslov
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{"instance_id": "locomo_conv-50_q086", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 17733, "prompt_tokens": 505, "completion_tokens": 571, "raw_text": "```json\n{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model answered 'Surfing' when the ground truth clearly indicates Calvin is planning to go skiing (evidenced by the snowy peak description and image of a person on skis).\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model answered 'Surfing' when the ground truth clearly indicates Calvin is planning to go skiing (evidenced by the snowy peak description and image of a person on skis).", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-26_q059", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 16903, "prompt_tokens": 593, "completion_tokens": 623, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F1\",\n \"rationale\": \"The model refused to answer the question by stating it cannot be determined without context, even though the ground-truth context was provided and contains sufficient information to conclude that Caroline is somewhat, but not extremely religious based on her making art for a church while not exhibiting strongly religious behavior.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model refused to answer the question by stating it cannot be determined without context, even though the ground-truth context was provided and contains sufficient information to conclude that Caroline is somewhat, but not extremely religious based on her making art for a church while not exhibiting strongly religious behavior.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-44_q000", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 15866, "prompt_tokens": 450, "completion_tokens": 610, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model answered 1954, which is a date that does not appear in the ground-truth context and cannot be derived from the provided information (session date of March 2023 and '3 years' tenure would imply ~2020, not 1954), indicating the model fabricated an answer.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model answered 1954, which is a date that does not appear in the ground-truth context and cannot be derived from the provided information (session date of March 2023 and '3 years' tenure would imply ~2020, not 1954), indicating the model fabricated an answer.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-41_q080", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 11086, "prompt_tokens": 521, "completion_tokens": 554, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model provided 'A wind chime' which does not appear anywhere in the ground-truth context; the correct answer is 'painting of a castle on a hill' as explicitly stated by Maria in the supporting context.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model provided 'A wind chime' which does not appear anywhere in the ground-truth context; the correct answer is 'painting of a castle on a hill' as explicitly stated by Maria in the supporting context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-42_q001", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 27267, "prompt_tokens": 742, "completion_tokens": 942, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model's answer 'Reading' does not appear in the ground truth answer, and while reading appears in the context as only Joanna's interest (not Nate's), it is not a shared interest; the actual shared interests are watching movies and making desserts.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model's answer 'Reading' does not appear in the ground truth answer, and while reading appears in the context as only Joanna's interest (not Nate's), it is not a shared interest; the actual shared interests are watching movies and making desserts.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-43_q155", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 21117, "prompt_tokens": 464, "completion_tokens": 551, "raw_text": "{\"verdict\": \"incorrect\", \"failure_mode\": \"F3\", \"rationale\": \"The model states John felt 'relieved', but the ground truth explicitly says John felt it was a 'huge success' - these are different emotional states.\"}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model states John felt 'relieved', but the ground truth explicitly says John felt it was a 'huge success' - these are different emotional states.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-50_q015", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 5779, "prompt_tokens": 553, "completion_tokens": 198, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F1\",\n \"rationale\": \"The model explicitly states 'Unknown', refusing to provide an answer, which is a refusal to answer based on available context.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly states 'Unknown', refusing to provide an answer, which is a refusal to answer based on available context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-48_q020", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 8704, "prompt_tokens": 710, "completion_tokens": 493, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model mentions games (Animal Crossing and Minecraft) that do not appear anywhere in the ground-truth context, which consists only of Detroit, Walking Dead, Battlefield 1, It Takes Two, and Overcooked 2.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model mentions games (Animal Crossing and Minecraft) that do not appear anywhere in the ground-truth context, which consists only of Detroit, Walking Dead, Battlefield 1, It Takes Two, and Overcooked 2.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-48_q055", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 9606, "prompt_tokens": 510, "completion_tokens": 625, "raw_text": "```json\n{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'Seraphim' matches the ground-truth answer exactly, and while the context excerpts don't explicitly name the pets, the model's answer is confirmed correct by the ground truth.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'Seraphim' matches the ground-truth answer exactly, and while the context excerpts don't explicitly name the pets, the model's answer is confirmed correct by the ground truth.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
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{"instance_id": "locomo_conv-26_q128", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 14317, "prompt_tokens": 493, "completion_tokens": 555, "raw_text": "```json\n{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model answered 'A butterfly,' which is an entity that does not appear anywhere in the ground-truth context; the correct answer is 'a rainbow sidewalk.'\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model answered 'A butterfly,' which is an entity that does not appear anywhere in the ground-truth context; the correct answer is 'a rainbow sidewalk.'", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-50_q010", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 23529, "prompt_tokens": 504, "completion_tokens": 606, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model provided the date 'October 2019' which does not appear in the ground-truth context (which indicates the flooding occurred around May 9, 2023), constituting a fabrication.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model provided the date 'October 2019' which does not appear in the ground-truth context (which indicates the flooding occurred around May 9, 2023), constituting a fabrication.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-50_q078", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 16510, "prompt_tokens": 475, "completion_tokens": 604, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model answered 'Home,' which does not appear in the ground-truth context and is unrelated to the stated purpose of the necklace as a reminder of why Calvin keeps hustling as a musician.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model answered 'Home,' which does not appear in the ground-truth context and is unrelated to the stated purpose of the necklace as a reminder of why Calvin keeps hustling as a musician.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-47_q092", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 18246, "prompt_tokens": 487, "completion_tokens": 539, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model states 'a database' which is factually incorrect; the ground-truth context clearly states John created an application on smartphones, not a database.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model states 'a database' which is factually incorrect; the ground-truth context clearly states John created an application on smartphones, not a database.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-30_q057", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 10809, "prompt_tokens": 503, "completion_tokens": 374, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly states one relevant fact about focusing on customers (related to building relationships) but omits the other two required pieces of advice: creating a strong brand image and staying positive.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly states one relevant fact about focusing on customers (related to building relationships) but omits the other two required pieces of advice: creating a strong brand image and staying positive.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-30_q029", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 5371, "prompt_tokens": 565, "completion_tokens": 288, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F1\",\n \"rationale\": \"The model explicitly stated 'Unknown' when the answer (Paris and Rome) could be directly extracted from the provided supporting context.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly stated 'Unknown' when the answer (Paris and Rome) could be directly extracted from the provided supporting context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-44_q066", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 6208, "prompt_tokens": 492, "completion_tokens": 194, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'A small dog' is semantically equivalent to the ground truth 'smaller dog' and correctly captures Andrew's preference for his apartment living space.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'A small dog' is semantically equivalent to the ground truth 'smaller dog' and correctly captures Andrew's preference for his apartment living space.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
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{"instance_id": "locomo_conv-44_q002", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 4165, "prompt_tokens": 739, "completion_tokens": 332, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model only mentions board games but misses the other three indoor activities (volunteering at pet shelter, wine tasting, and growing flowers) listed in the ground truth.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model only mentions board games but misses the other three indoor activities (volunteering at pet shelter, wine tasting, and growing flowers) listed in the ground truth.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-47_q046", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 7787, "prompt_tokens": 460, "completion_tokens": 584, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model states they 'Never' met, but the context indicates John and James planned to meet the next day (August 27, 2022) at McGee's Pub, making the model's answer factually incorrect.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model states they 'Never' met, but the context indicates John and James planned to meet the next day (August 27, 2022) at McGee's Pub, making the model's answer factually incorrect.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-43_q076", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 24634, "prompt_tokens": 476, "completion_tokens": 718, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model claims the picture was 'a selfie' which does not appear in the ground-truth context; the context only states the picture is from MinaLima, a prop creator for the Harry Potter films, not a selfie.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model claims the picture was 'a selfie' which does not appear in the ground-truth context; the context only states the picture is from MinaLima, a prop creator for the Harry Potter films, not a selfie.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-41_q065", "cell": "no-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 8845, "prompt_tokens": 458, "completion_tokens": 627, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F1\",\n \"rationale\": \"The model explicitly states it does not know which John is being referred to, effectively refusing to answer the question despite the ground-truth context clearly identifying a John who states his main focuses are improving education and infrastructure.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly states it does not know which John is being referred to, effectively refusing to answer the question despite the ground-truth context clearly identifying a John who states his main focuses are improving education and infrastructure.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-50_q086", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 5159, "prompt_tokens": 503, "completion_tokens": 267, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'Skiing' matches the ground truth exactly and is supported by the context, which mentions Calvin's to-do list after the tour and includes an image of skiing on a snowy mountain.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'Skiing' matches the ground truth exactly and is supported by the context, which mentions Calvin's to-do list after the tour and includes an image of skiing on a snowy mountain.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
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{"instance_id": "locomo_conv-26_q059", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 31426, "prompt_tokens": 569, "completion_tokens": 1075, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model answers 'Yes' which is partially correct (Caroline has some religious connection via her church artwork) but fails to capture the nuance that ground truth specifies: she is 'somewhat, but not extremely religious.'\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model answers 'Yes' which is partially correct (Caroline has some religious connection via her church artwork) but fails to capture the nuance that ground truth specifies: she is 'somewhat, but not extremely religious.'", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-44_q000", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 7232, "prompt_tokens": 470, "completion_tokens": 291, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model correctly answered 2020, which matches the ground truth and is correctly derived from the context stating Audrey had her three dogs (Pepper, Precious, and Panda) for 3 years as of March 2023.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model correctly answered 2020, which matches the ground truth and is correctly derived from the context stating Audrey had her three dogs (Pepper, Precious, and Panda) for 3 years as of March 2023.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
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{"instance_id": "locomo_conv-41_q080", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 6440, "prompt_tokens": 517, "completion_tokens": 559, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identifies that Maria made a painting, but it omits the specific detail that the painting depicts a castle on a hill, which is a required fact from the ground truth.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies that Maria made a painting, but it omits the specific detail that the painting depicts a castle on a hill, which is a required fact from the ground truth.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-42_q001", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 4720, "prompt_tokens": 762, "completion_tokens": 254, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identified movies as a shared interest but failed to include making desserts, which is also mentioned in the ground-truth answer.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identified movies as a shared interest but failed to include making desserts, which is also mentioned in the ground-truth answer.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-43_q155", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 11079, "prompt_tokens": 480, "completion_tokens": 396, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'Great' is a synonym for 'a huge success' and correctly captures John's positive feeling about jogging without pain.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'Great' is a synonym for 'a huge success' and correctly captures John's positive feeling about jogging without pain.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-50_q015", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 14900, "prompt_tokens": 571, "completion_tokens": 540, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'To relax' is a correct and equivalent formulation of the ground truth 'because it relaxes and calms him,' as 'relax' and 'calms' are synonymous concepts that capture the same essential fact about why Dave visits parks.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'To relax' is a correct and equivalent formulation of the ground truth 'because it relaxes and calms him,' as 'relax' and 'calms' are synonymous concepts that capture the same essential fact about why Dave visits parks.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-48_q020", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 16522, "prompt_tokens": 719, "completion_tokens": 265, "raw_text": "```json\n{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identified three games (Detroit, It Takes Two, Overcooked 2) but missed two others (Walking Dead, Battlefield 1) that appear in the ground truth.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identified three games (Detroit, It Takes Two, Overcooked 2) but missed two others (Walking Dead, Battlefield 1) that appear in the ground truth.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-48_q055", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 44330, "prompt_tokens": 509, "completion_tokens": 976, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model answered Susie, but the ground truth states Seraphim was adopted more recently, indicating the model derived incorrect facts from the context.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model answered Susie, but the ground truth states Seraphim was adopted more recently, indicating the model derived incorrect facts from the context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-26_q128", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 3221, "prompt_tokens": 491, "completion_tokens": 216, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'A rainbow sidewalk' exactly matches the ground-truth answer 'a rainbow sidewalk' with only a minor capitalization difference, making it correct.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'A rainbow sidewalk' exactly matches the ground-truth answer 'a rainbow sidewalk' with only a minor capitalization difference, making it correct.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q010", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 13441, "prompt_tokens": 485, "completion_tokens": 336, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'Last week' is equivalent to the ground truth 'a week before 16 May, 2023' since the conversation occurred on 16 May 2023, making minor phrasing differences acceptable.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'Last week' is equivalent to the ground truth 'a week before 16 May, 2023' since the conversation occurred on 16 May 2023, making minor phrasing differences acceptable.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q078", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 9610, "prompt_tokens": 482, "completion_tokens": 303, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer matches the ground truth exactly, capturing the fact that the necklace was meant to remind Calvin of why he keeps hustling as a musician, with only a minor capitalization difference that doesn't affect meaning.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer matches the ground truth exactly, capturing the fact that the necklace was meant to remind Calvin of why he keeps hustling as a musician, with only a minor capitalization difference that doesn't affect meaning.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-47_q092", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 9489, "prompt_tokens": 487, "completion_tokens": 422, "raw_text": "```json\n{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model's answer correctly identifies that John created an application but omits the specific detail that it was on smartphones, which is a required fact from the ground truth.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model's answer correctly identifies that John created an application but omits the specific detail that it was on smartphones, which is a required fact from the ground truth.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-30_q057", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 71668, "prompt_tokens": 498, "completion_tokens": 2221, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F1\",\n \"rationale\": \"The model explicitly states 'Not mentioned' to avoid providing an answer, even though the advice content (brand identity, building relationships, staying positive) is present in the context.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly states 'Not mentioned' to avoid providing an answer, even though the advice content (brand identity, building relationships, staying positive) is present in the context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-30_q029", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 11020, "prompt_tokens": 550, "completion_tokens": 251, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model correctly identified both cities (Paris and Rome) that Jon visited according to the ground-truth context, with no additional incorrect claims.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model correctly identified both cities (Paris and Rome) that Jon visited according to the ground-truth context, with no additional incorrect claims.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-44_q066", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 5882, "prompt_tokens": 512, "completion_tokens": 214, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'A smaller dog' exactly matches the ground-truth answer 'smaller dog' and is fully supported by the context where Andrew states that for someone living in an apartment, 'a smaller dog would be best.'\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'A smaller dog' exactly matches the ground-truth answer 'smaller dog' and is fully supported by the context where Andrew states that for someone living in an apartment, 'a smaller dog would be best.'", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-44_q002", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 9991, "prompt_tokens": 739, "completion_tokens": 412, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model only mentions board games but omits three other activities (volunteering at pet shelter, wine tasting, and growing flowers) that Andrew pursued with his girlfriend according to the ground truth.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model only mentions board games but omits three other activities (volunteering at pet shelter, wine tasting, and growing flowers) that Andrew pursued with his girlfriend according to the ground truth.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-47_q046", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 13063, "prompt_tokens": 448, "completion_tokens": 344, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer '27 August, 2022' is equivalent to the ground truth 'August 27, 2022' (same date, merely different formatting), and aligns with the context showing John said 'See you tomorrow at McGee's Pub' on August 26, 2022.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer '27 August, 2022' is equivalent to the ground truth 'August 27, 2022' (same date, merely different formatting), and aligns with the context showing John said 'See you tomorrow at McGee's Pub' on August 26, 2022.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-43_q076", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 7570, "prompt_tokens": 497, "completion_tokens": 296, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'MinaLima' correctly identifies the creator of the picture Tim shared, which matches the ground truth that it was 'MinaLima's creation from the Harry Potter films'.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'MinaLima' correctly identifies the creator of the picture Tim shared, which matches the ground truth that it was 'MinaLima's creation from the Harry Potter films'.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-41_q065", "cell": "oracle-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 15698, "prompt_tokens": 441, "completion_tokens": 260, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model accurately identified both key topics (education and infrastructure) from the ground truth context, with only a minor phrasing difference (dropping 'improving') which is acceptable.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model accurately identified both key topics (education and infrastructure) from the ground truth context, with only a minor phrasing difference (dropping 'improving') which is acceptable.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q086", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 4905, "prompt_tokens": 502, "completion_tokens": 168, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model correctly identifies the sports activity (skiing) that Calvin plans to try after the tour with Frank Ocean, matching the ground truth.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model correctly identifies the sports activity (skiing) that Calvin plans to try after the tour with Frank Ocean, matching the ground truth.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-26_q059", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 11874, "prompt_tokens": 586, "completion_tokens": 350, "raw_text": "{\"verdict\": \"incorrect\", \"failure_mode\": \"F1\", \"rationale\": \"The model explicitly stated 'unknown' rather than attempting to answer the question, which constitutes an abstention when the context provides sufficient information to determine that Caroline is somewhat but not extremely religious.\"}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly stated 'unknown' rather than attempting to answer the question, which constitutes an abstention when the context provides sufficient information to determine that Caroline is somewhat but not extremely religious.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-44_q000", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 10437, "prompt_tokens": 470, "completion_tokens": 455, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer of 2020 matches the ground truth, which can be derived from the context stating Audrey had her three dogs for 3 years as of March 27, 2023, placing their adoption around 2020.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer of 2020 matches the ground truth, which can be derived from the context stating Audrey had her three dogs for 3 years as of March 27, 2023, placing their adoption around 2020.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-41_q080", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 10963, "prompt_tokens": 517, "completion_tokens": 516, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identifies that Maria made 'a painting' but omits the essential detail that it was 'of a castle on a hill,' which is a required fact from the ground truth.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies that Maria made 'a painting' but omits the essential detail that it was 'of a castle on a hill,' which is a required fact from the ground truth.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-42_q001", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 5690, "prompt_tokens": 764, "completion_tokens": 305, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identified watching movies as a shared interest but failed to include making desserts, which both Joanna and Nate discuss enjoying.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identified watching movies as a shared interest but failed to include making desserts, which both Joanna and Nate discuss enjoying.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-43_q155", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 10228, "prompt_tokens": 480, "completion_tokens": 495, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'great' is a direct synonym from the context where John says 'It was great!' and is equivalent to the ground truth 'huge success' in describing John's emotional response to jogging without pain.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'great' is a direct synonym from the context where John says 'It was great!' and is equivalent to the ground truth 'huge success' in describing John's emotional response to jogging without pain.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-50_q015", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 16273, "prompt_tokens": 571, "completion_tokens": 367, "raw_text": "```json\n{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identifies that Dave visits parks to relax, but omits the additional detail that it also calms him, making this a partial answer.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies that Dave visits parks to relax, but omits the additional detail that it also calms him, making this a partial answer.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-48_q020", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 7004, "prompt_tokens": 699, "completion_tokens": 294, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identified three games (Detroit, It Takes Two, Overcooked 2) but missed two games (Walking Dead, Battlefield 1) that appear in the ground truth.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identified three games (Detroit, It Takes Two, Overcooked 2) but missed two games (Walking Dead, Battlefield 1) that appear in the ground truth.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-48_q055", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 22814, "prompt_tokens": 508, "completion_tokens": 345, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F1\",\n \"rationale\": \"The model explicitly states it does not know the answer, which is a refusal to provide the correct answer.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly states it does not know the answer, which is a refusal to provide the correct answer.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-26_q128", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 7288, "prompt_tokens": 474, "completion_tokens": 196, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'rainbow sidewalk' matches the ground truth 'a rainbow sidewalk' exactly, representing the same object without the article.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'rainbow sidewalk' matches the ground truth 'a rainbow sidewalk' exactly, representing the same object without the article.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q010", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 14884, "prompt_tokens": 502, "completion_tokens": 452, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'last week' is equivalent to the ground truth 'a week before 16 May, 2023' as both convey the same temporal information that the flooding occurred during the week prior to May 16, 2023.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'last week' is equivalent to the ground truth 'a week before 16 May, 2023' as both convey the same temporal information that the flooding occurred during the week prior to May 16, 2023.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q078", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 3608, "prompt_tokens": 485, "completion_tokens": 201, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer matches the ground-truth answer exactly, capturing the intended reminder of why Calvin keeps hustling as a musician.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer matches the ground-truth answer exactly, capturing the intended reminder of why Calvin keeps hustling as a musician.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-47_q092", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 37908, "prompt_tokens": 484, "completion_tokens": 600, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identifies that John created an application but omits the specific detail that it was on smartphones, which is part of the ground truth answer.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies that John created an application but omits the specific detail that it was on smartphones, which is part of the ground truth answer.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-30_q057", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 19809, "prompt_tokens": 497, "completion_tokens": 519, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F1\",\n \"rationale\": \"The model explicitly stated 'unknown', indicating it does not know the answer, which constitutes an abstention from providing the required information.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly stated 'unknown', indicating it does not know the answer, which constitutes an abstention from providing the required information.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-30_q029", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 4197, "prompt_tokens": 566, "completion_tokens": 135, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model correctly listed both cities (Paris and Rome) that Jon visited according to the ground-truth context.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model correctly listed both cities (Paris and Rome) that Jon visited according to the ground-truth context.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-44_q066", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 7687, "prompt_tokens": 511, "completion_tokens": 239, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'smaller dog' exactly matches the ground-truth answer and is directly supported by the context which states that for Andrew, 'a person living in an apartment, a smaller dog would be best.'\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'smaller dog' exactly matches the ground-truth answer and is directly supported by the context which states that for Andrew, 'a person living in an apartment, a smaller dog would be best.'", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-44_q002", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 12652, "prompt_tokens": 743, "completion_tokens": 634, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identified playing board games as one indoor activity but missed the other three activities (volunteering at pet shelter, wine tasting, and growing flowers) mentioned in the ground truth.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identified playing board games as one indoor activity but missed the other three activities (volunteering at pet shelter, wine tasting, and growing flowers) mentioned in the ground truth.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-47_q046", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 17719, "prompt_tokens": 464, "completion_tokens": 703, "raw_text": "```json\n{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'tomorrow' is factually correct, as John said 'See you tomorrow at McGee's Pub' on August 26, 2022, making August 27, 2022 the correct meeting date, which is equivalent to 'tomorrow' in this context.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'tomorrow' is factually correct, as John said 'See you tomorrow at McGee's Pub' on August 26, 2022, making August 27, 2022 the correct meeting date, which is equivalent to 'tomorrow' in this context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-43_q076", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 14900, "prompt_tokens": 497, "completion_tokens": 819, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'from MinaLima' correctly identifies the creator of the picture as MinaLima, which matches the ground truth, and the supporting context confirms this attribution.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'from MinaLima' correctly identifies the creator of the picture as MinaLima, which matches the ground truth, and the supporting context confirms this attribution.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-41_q065", "cell": "full-context", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 6871, "prompt_tokens": 443, "completion_tokens": 241, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer matches the ground truth exactly, identifying improving education and infrastructure as John's main focus in local politics.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer matches the ground truth exactly, identifying improving education and infrastructure as John's main focus in local politics.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q086", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 7062, "prompt_tokens": 502, "completion_tokens": 449, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model answered 'Not mentioned' but the ground-truth context clearly indicates skiing is the activity Calvin plans to try after the tour, as evidenced by the snowy peak reference and the image of a person on skis.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model answered 'Not mentioned' but the ground-truth context clearly indicates skiing is the activity Calvin plans to try after the tour, as evidenced by the snowy peak reference and the image of a person on skis.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-26_q059", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 15512, "prompt_tokens": 569, "completion_tokens": 523, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model answered 'No' while the ground truth indicates Caroline is 'somewhat, but not extremely religious' based on her creating artwork for a church and participating in religious spaces.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model answered 'No' while the ground truth indicates Caroline is 'somewhat, but not extremely religious' based on her creating artwork for a church and participating in religious spaces.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-44_q000", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 23052, "prompt_tokens": 467, "completion_tokens": 805, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model failed to derive the year 2020 from the context (3 years before March 2023), instead stating 'Not mentioned' when the answer could be calculated from the given information.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model failed to derive the year 2020 from the context (3 years before March 2023), instead stating 'Not mentioned' when the answer could be calculated from the given information.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-41_q080", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 10364, "prompt_tokens": 500, "completion_tokens": 306, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly states that Maria made a painting, but fails to include the specific detail that it was a painting of a castle on a hill, which is the key distinguishing fact in the ground truth.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly states that Maria made a painting, but fails to include the specific detail that it was a painting of a castle on a hill, which is the key distinguishing fact in the ground truth.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-42_q001", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 18171, "prompt_tokens": 744, "completion_tokens": 516, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model correctly identified movies as a shared interest but incorrectly stated nature as shared (only Joanna enjoys nature, not Nate), and failed to mention the shared interest of making desserts.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model correctly identified movies as a shared interest but incorrectly stated nature as shared (only Joanna enjoys nature, not Nate), and failed to mention the shared interest of making desserts.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-43_q155", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 18019, "prompt_tokens": 484, "completion_tokens": 636, "raw_text": "```json\n{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model's answer 'Relieved' captures a plausible emotional response but misses the ground truth's explicit statement that jogging without pain was 'a huge success' and John said 'It was great!' — the model provides an alternative valid emotion without stating the specific required fact.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model's answer 'Relieved' captures a plausible emotional response but misses the ground truth's explicit statement that jogging without pain was 'a huge success' and John said 'It was great!' — the model provides an alternative valid emotion without stating the specific required fact.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-50_q015", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 30829, "prompt_tokens": 582, "completion_tokens": 1060, "raw_text": "```json\n{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model adds 'hang out with friends' which does not appear in the ground-truth context where Dave visits parks alone to relax in nature.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model adds 'hang out with friends' which does not appear in the ground-truth context where Dave visits parks alone to relax in nature.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-48_q020", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 13576, "prompt_tokens": 716, "completion_tokens": 393, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model identified three of the five games (Detroit, Overcooked 2, It Takes Two) but omitted Walking Dead and Battlefield 1 from the ground-truth answer.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model identified three of the five games (Detroit, Overcooked 2, It Takes Two) but omitted Walking Dead and Battlefield 1 from the ground-truth answer.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-48_q055", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 8026, "prompt_tokens": 513, "completion_tokens": 328, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'Seraphim' matches the ground-truth answer exactly, indicating the model correctly identified which pet Jolene adopted more recently.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'Seraphim' matches the ground-truth answer exactly, indicating the model correctly identified which pet Jolene adopted more recently.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-26_q128", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 3990, "prompt_tokens": 494, "completion_tokens": 147, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'A rainbow sidewalk' exactly matches the ground truth answer, identifying what Caroline found during her walk.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'A rainbow sidewalk' exactly matches the ground truth answer, identifying what Caroline found during her walk.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q010", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 12906, "prompt_tokens": 502, "completion_tokens": 509, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'Last week' correctly captures the temporal information from the ground truth, as the context confirms Calvin's place was flooded during the week before 16 May 2023.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'Last week' correctly captures the temporal information from the ground truth, as the context confirms Calvin's place was flooded during the week before 16 May 2023.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q078", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 5835, "prompt_tokens": 482, "completion_tokens": 140, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer matches the ground‑truth answer exactly.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer matches the ground‑truth answer exactly.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-47_q092", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 18160, "prompt_tokens": 485, "completion_tokens": 678, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model's answer 'A software tool' is missing the specific detail that the application was on smartphones, which is a required fact from the ground truth answer.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model's answer 'A software tool' is missing the specific detail that the application was on smartphones, which is a required fact from the ground truth answer.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-30_q057", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 21614, "prompt_tokens": 499, "completion_tokens": 665, "raw_text": "{\"verdict\":\"incorrect\",\"failure_mode\":\"F2\",\"rationale\":\"The model's answer contains no overlap with the required facts from the ground truth—it mentions passion, focus, and resilience instead of the three specific advice points (build relationships with customers, create a strong brand image, stay positive) that appeared in the context.\"}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model's answer contains no overlap with the required facts from the ground truth—it mentions passion, focus, and resilience instead of the three specific advice points (build relationships with customers, create a strong brand image, stay positive) that appeared in the context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-30_q029", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 8084, "prompt_tokens": 568, "completion_tokens": 266, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identified Paris but omitted Rome, providing only a partial answer to the question.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identified Paris but omitted Rome, providing only a partial answer to the question.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-44_q066", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 4891, "prompt_tokens": 512, "completion_tokens": 264, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'A smaller dog' matches the ground truth 'smaller dog' exactly, correctly identifying that Andrew was looking for a smaller dog based on his apartment living space.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'A smaller dog' matches the ground truth 'smaller dog' exactly, correctly identifying that Andrew was looking for a smaller dog based on his apartment living space.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-44_q002", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 13170, "prompt_tokens": 739, "completion_tokens": 450, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model only mentions wine tasting but misses three other activities (boardgames, volunteering at pet shelter, and growing flowers) that Andrew pursued with his girlfriend.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model only mentions wine tasting but misses three other activities (boardgames, volunteering at pet shelter, and growing flowers) that Andrew pursued with his girlfriend.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-47_q046", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 15948, "prompt_tokens": 460, "completion_tokens": 643, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'Tomorrow' is equivalent to the ground truth 'August 27, 2022' because the context establishes that on August 26 John said 'See you tomorrow at McGee's Pub,' making 'tomorrow' the correct relative reference to August 27, 2022.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'Tomorrow' is equivalent to the ground truth 'August 27, 2022' because the context establishes that on August 26 John said 'See you tomorrow at McGee's Pub,' making 'tomorrow' the correct relative reference to August 27, 2022.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-43_q076", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 22719, "prompt_tokens": 495, "completion_tokens": 421, "raw_text": "```json\n{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'MinaLima props' correctly identifies the source (MinaLima) and implies their work on Harry Potter film props, which aligns with the ground truth that it is 'MinaLima's creation from the Harry Potter films' without adding any incorrect claims.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'MinaLima props' correctly identifies the source (MinaLima) and implies their work on Harry Potter film props, which aligns with the ground truth that it is 'MinaLima's creation from the Harry Potter films' without adding any incorrect claims.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-41_q065", "cell": "retrieval", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 6626, "prompt_tokens": 461, "completion_tokens": 253, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model correctly identifies education and infrastructure as John's main focuses in local politics, matching the ground truth without any incorrect additions.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model correctly identifies education and infrastructure as John's main focuses in local politics, matching the ground truth without any incorrect additions.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q086", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 39796, "prompt_tokens": 515, "completion_tokens": 2489, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model provided a system message about tool usage limits instead of stating the correct answer (skiing), which constitutes an incorrect response not covered by the other failure modes.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model provided a system message about tool usage limits instead of stating the correct answer (skiing), which constitutes an incorrect response not covered by the other failure modes.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-26_q059", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 15569, "prompt_tokens": 619, "completion_tokens": 629, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model fabricates a detail about a necklace from Sweden representing 'love, faith and strength' that does not appear in the ground-truth context, while the church painting connection is correctly derived from the context.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model fabricates a detail about a necklace from Sweden representing 'love, faith and strength' that does not appear in the ground-truth context, while the church painting connection is correctly derived from the context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-44_q000", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 22383, "prompt_tokens": 477, "completion_tokens": 638, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F3\",\n \"rationale\": \"The model failed to provide an answer to the question, instead outputting a system message indicating it reached its maximum tool turns without generating a response.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model failed to provide an answer to the question, instead outputting a system message indicating it reached its maximum tool turns without generating a response.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-41_q080", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 21678, "prompt_tokens": 500, "completion_tokens": 519, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identifies that Maria made a painting but omits the key detail that it was specifically a painting of a castle on a hill, which is required by the ground truth answer.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies that Maria made a painting but omits the key detail that it was specifically a painting of a castle on a hill, which is required by the ground truth answer.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-42_q001", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 9621, "prompt_tokens": 762, "completion_tokens": 364, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identifies watching movies as a shared interest but fails to include making desserts, which is also a shared interest according to the ground-truth context.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies watching movies as a shared interest but fails to include making desserts, which is also a shared interest according to the ground-truth context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-43_q155", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 9115, "prompt_tokens": 483, "completion_tokens": 389, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'great' is a synonym that captures the same positive sentiment as 'huge success' in the ground truth.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'great' is a synonym that captures the same positive sentiment as 'huge success' in the ground truth.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-50_q015", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 39909, "prompt_tokens": 573, "completion_tokens": 484, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'to relax and recharge' captures the core meaning of the ground truth 'relaxes and calms him' - 'relax' directly matches 'relaxes', and 'recharge' is an acceptable synonym for the calming/restorative effect described in the context.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'to relax and recharge' captures the core meaning of the ground truth 'relaxes and calms him' - 'relax' directly matches 'relaxes', and 'recharge' is an acceptable synonym for the calming/restorative effect described in the context.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-48_q020", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 9349, "prompt_tokens": 719, "completion_tokens": 393, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identified Detroit, Overcooked 2, and It Takes Two, but missed Walking Dead and Battlefield 1 which are also in the ground truth.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identified Detroit, Overcooked 2, and It Takes Two, but missed Walking Dead and Battlefield 1 which are also in the ground truth.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-48_q055", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 20702, "prompt_tokens": 512, "completion_tokens": 666, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F4\",\n \"rationale\": \"The model answered 'Susie' but neither 'Susie' nor 'Seraphim' appear in the ground-truth context, indicating the model hallucinated the pet name.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model answered 'Susie' but neither 'Susie' nor 'Seraphim' appear in the ground-truth context, indicating the model hallucinated the pet name.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-26_q128", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 4544, "prompt_tokens": 494, "completion_tokens": 185, "raw_text": "```json\n{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'a rainbow sidewalk' exactly matches the ground-truth answer, both correctly identifying what Caroline found during her walk.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'a rainbow sidewalk' exactly matches the ground-truth answer, both correctly identifying what Caroline found during her walk.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q010", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 28878, "prompt_tokens": 502, "completion_tokens": 501, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'last week' is factually correct and equivalent to the ground truth 'a week before 16 May, 2023', as Calvin stated his place got flooded 'last week' during the session on 16 May, 2023.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'last week' is factually correct and equivalent to the ground truth 'a week before 16 May, 2023', as Calvin stated his place got flooded 'last week' during the session on 16 May, 2023.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-50_q078", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 3384, "prompt_tokens": 485, "completion_tokens": 112, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model’s answer matches the ground‑truth answer exactly, stating the necklace was meant to remind Calvin of why he keeps hustling as a musician.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model’s answer matches the ground‑truth answer exactly, stating the necklace was meant to remind Calvin of why he keeps hustling as a musician.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-47_q092", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 11980, "prompt_tokens": 488, "completion_tokens": 539, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identifies that John created a tool/application, but it misses the specific required detail that the application was on smartphones.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies that John created a tool/application, but it misses the specific required detail that the application was on smartphones.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-30_q057", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 19907, "prompt_tokens": 520, "completion_tokens": 549, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F5\",\n \"rationale\": \"The model's answer provides motivational self-help advice about faith in oneself and support systems, which is completely different from the ground truth's advice about building customer relationships, creating brand image, and staying positive.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F5", "parsed_rationale": "The model's answer provides motivational self-help advice about faith in oneself and support systems, which is completely different from the ground truth's advice about building customer relationships, creating brand image, and staying positive.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-30_q029", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 13857, "prompt_tokens": 565, "completion_tokens": 267, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F1\",\n \"rationale\": \"The model explicitly stated 'unknown' when the cities (Paris and Rome) could have been extracted from the provided supporting context.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly stated 'unknown' when the cities (Paris and Rome) could have been extracted from the provided supporting context.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-44_q066", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 5477, "prompt_tokens": 512, "completion_tokens": 215, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'a smaller dog' exactly matches the ground truth, correctly identifying that Andrew was looking for a smaller dog based on his apartment living space.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'a smaller dog' exactly matches the ground truth, correctly identifying that Andrew was looking for a smaller dog based on his apartment living space.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-44_q002", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 15222, "prompt_tokens": 742, "completion_tokens": 560, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly identified board games as an indoor activity Andrew pursued with his girlfriend but missed the other three activities (volunteering at pet shelter, wine tasting, and growing flowers) that appear in the ground truth, without stating any incorrect information.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identified board games as an indoor activity Andrew pursued with his girlfriend but missed the other three activities (volunteering at pet shelter, wine tasting, and growing flowers) that appear in the ground truth, without stating any incorrect information.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-47_q046", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 9876, "prompt_tokens": 463, "completion_tokens": 599, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model correctly identifies the timing as 'tomorrow', which aligns with the ground truth of August 27, 2022, since John said 'See you tomorrow' on August 26, 2022, making tomorrow August 27, 2022.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model correctly identifies the timing as 'tomorrow', which aligns with the ground truth of August 27, 2022, since John said 'See you tomorrow' on August 26, 2022, making tomorrow August 27, 2022.", "opus_verdict_ref": "incorrect", "gpt_verdict_ref": "incorrect"}
|
||||
{"instance_id": "locomo_conv-43_q076", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 26616, "prompt_tokens": 496, "completion_tokens": 520, "raw_text": "```json\n{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'A picture from MinaLima' correctly identifies the source of the picture, which matches the ground truth that it is MinaLima's creation, and minor phrasing differences are acceptable.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'A picture from MinaLima' correctly identifies the source of the picture, which matches the ground truth that it is MinaLima's creation, and minor phrasing differences are acceptable.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
{"instance_id": "locomo_conv-41_q065", "cell": "agentic", "provider": "minimax", "model_id": "minimax/minimax-m2.7", "routing": "openrouter_direct_http", "litellm_alias_registered": "minimax-m27-via-openrouter", "http_status": 200, "error": null, "retries": 0, "latency_ms": 10691, "prompt_tokens": 461, "completion_tokens": 330, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model correctly identified education and infrastructure as John's main focuses, matching the ground truth without any incorrect additions.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model correctly identified education and infrastructure as John's main focuses, matching the ground truth without any incorrect additions.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "correct"}
|
||||
Reference in New Issue
Block a user