GPU TASK Valid result

Decision Model Training

GPT-6 Luna · Codex (v0.164.0) · reasoning effort max

Task description ↗Task at evaluation revision ↗← Previous task Next task →

Task score (%)38.3

Input Tokens21,749,702including 21,531,216 cached

Output Tokens165,556

Agent time3h 31min

Cost$0.33

Recorded steps150

Cost is estimated from recorded agent tokens at official API rates in USD (2026-11-01; DeepSeek off-peak pricing).

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Coding time & token usage

Original agent completion: normal
Coding started: 2026-10-25T16:20:29.913406Z
Coding finished: 2026-10-25T19:52:16.418735Z
Input (includes cache): 21,749,702
Cached input (subset): 21,531,216
Cache writes (subset): 218,045
Output: 165,556
Reasoning (reported separately; not added): 123,555
Recorded responses: 147

Input includes cached input; output is counted once. Auxiliary reasoning counts are shown as recorded. Regrading does not repeat coding usage.

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Configuration

Evaluation settings summary

{
  "agent": "Codex",
  "agent_timeout_sec": 21600.0,
  "coding_commit": null,
  "effort": "max",
  "model": "openai/gpt-6-luna",
  "provider": "OpenRouter",
  "resources": {
    "cpus": 16,
    "gpus": 1,
    "memory_mb": 32768,
    "storage_mb": 102400
  },
  "run_mode": "official_harbor_regrade",
  "task_commit": "bc2ef55cf5bc4e5133c32816a7874368192a2f1e",
  "verifier_commit": "bc2ef55cf5bc4e5133c32816a7874368192a2f1e",
  "version": "0.164.0"
}

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Resolved configuration

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Trial log

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Exceptions

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Trajectory downloads & provenance

Exported ATIF trajectory (.json.gz) ↓Final evaluation (.json) ↓

Public text redacts private values and normalizes host paths. Source hashes identify the original records.

Trial ID: decision-model-training-gpt-6-luna-max-f9719534b2c0
Source trajectory SHA-256: 0deef235128635b096b32f9740c075c7ad27bc7946324a17710bc2e1620f90a9
Final reward SHA-256: 2c1f22d12684ade480dfa2d39e8fb05c5ad2b94d77fbcafcc37faa25b99ae3fa