GPU TASK Valid result

Code Embedding Fine-tuning

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

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

Task score (%)5.0

Input Tokens19,197,198including 18,996,060 cached

Output Tokens103,161

Agent time2h 47min

Cost$0.27

Recorded steps164

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: 2026-10-28T11:32:21.542252Z
Coding finished: 2026-10-28T14:19:51.060625Z
Input (includes cache): 19,197,198
Cached input (subset): 18,996,060
Cache writes (subset): 200,655
Output: 103,161
Reasoning (reported separately; not added): 72,439
Recorded responses: 161

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": null,
  "coding_commit": null,
  "effort": "max",
  "model": "openai/gpt-6-luna",
  "provider": "OpenRouter",
  "resources": null,
  "run_mode": "official_harbor_regrade",
  "task_commit": "1d73c6f9c4a90ba922b7572d9395a6f40661bbb2",
  "verifier_commit": "1d73c6f9c4a90ba922b7572d9395a6f40661bbb2",
  "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: code-embedding-finetuning-gpt-6-luna-max-8bccb3833ae3
Source trajectory SHA-256: ca79f4e20ec97178c31966cbf94d63959ccf91279ca3fa83b99b62347bc386ba
Final reward SHA-256: 099f733559cf07e2bc13e2b2afea72b41a9941343793ac6c9f53cead7a7dc0cf