{
  "question": "q59",
  "model_1": "DeepSeek-V4-Flash-0731-UD-IQ4_XS",
  "model_2": "Qwen3.5-27B-UD-Q6_K_XL",
  "answer_a_was": "Qwen3.5-27B-UD-Q6_K_XL",
  "answer_b_was": "DeepSeek-V4-Flash-0731-UD-IQ4_XS",
  "verdict_code": "TIE",
  "winner": "TIE",
  "judge_model": "openai/gpt-5.6-sol",
  "server_model": "openai/gpt-5.6-sol",
  "provider": "OpenAI",
  "finish_reason": "stop",
  "usage": {
    "prompt_tokens": 5855,
    "completion_tokens": 519,
    "total_tokens": 6374,
    "cost": 0.05216,
    "is_byok": false,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 5852,
      "audio_tokens": 0,
      "video_tokens": 0
    },
    "cost_details": {
      "upstream_inference_cost": 0.05216,
      "upstream_inference_prompt_cost": 0.03659,
      "upstream_inference_completions_cost": 0.01557
    },
    "completion_tokens_details": {
      "reasoning_tokens": 340,
      "image_tokens": 0,
      "audio_tokens": 0
    }
  },
  "eval_prompt_sha256": "7e58b951cb86e4deba3b60fd01e9b9bd247ebe9883e1c9e43b24acffb1fd4667",
  "provenance_date": "2026-08-08",
  "report": "TIE, FUNCTIONALLY EQUIVALENT.\n\nBasis. Both answers correctly calculate A at +$540,000, B at +$552,500, and C at −$260,000, leading to the same ranking and recommendation: appeal A and B within the $150,000 budget and omit C to preserve the existing judgment.\n\n[A] rejected: initial Issue C total of $1,870,000 — internally inconsistent with the answer’s corrected calculation of $1,840,000.\n\nFailed candidates. Answer A’s initial Issue C arithmetic — no safe neutralization failed because the answer expressly corrects it before ranking and recommending action.\nFailed candidates. Answer A’s “post-conviction appeal” label — different conduct failed because the commercial-case analysis and recommendation remain unchanged.\n\nHard stop. It cannot be completed with a concrete, record-supported consequence.",
  "judge_reasoning": "",
  "_public_record": {
    "type": "published record",
    "policy": "../../PUBLIC_RECORD_POLICY.md",
    "transformations": [
      "non-substantive machine metadata normalized",
      "published-record annotation added"
    ],
    "retained": [
      "substantive report",
      "verdict code",
      "winner mapping",
      "A/B assignment",
      "model and judge identifiers",
      "finish reason",
      "token counts",
      "provenance date"
    ]
  }
}