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Measured harness ledgerPublic result
GPT-6 Sol

Dex Cube Turn — GPT-6 Sol Max

Turn one face of a Rubik's cube a quarter turn by finger contact with two dexterous hands in MuJoCo.

Max reasoningHeadline result
Workflow cost
$1.29
Wall-clock
9m 05s wall-clock
Processed tokens
4.60M processed
Record state
judge_pass_independently_replayed
Public summary

GPT-6 Sol Max judge_pass_independently_replayed ledger: 9m 05s wall-clock, 4.60M processed, and $1.29 Standard API-equivalent estimate from the Codex wrapper receipt, not a subscription invoice: this was a ChatGPT-subscription run, $0 was charged and Codex emits no cost field..

Run identity and stack
  • Result ID: dex-cube-turn-mujoco-gpt-6-sol-max-codex-2026-09-22
  • Technical model: GPT-6 Sol
  • Provider: OpenAI Codex
  • Client: codex-sub wrapper (detached, headless, -l cube-turn-sol -m gpt-6-sol -e max -s danger-full-access), Codex CLI 0.155.1; ran to its own end_turn
  • Stack: OpenAI Codex
  • Stack: codex-sub wrapper (detached, headless, -l cube-turn-sol -m gpt-6-sol -e max -s danger-full-access), Codex CLI 0.155.1; ran to its own end_turn
  • Stack: Technical model/configuration: GPT-6 Sol
  • Stack: MuJoCo dexterous-hand fixture
  • Stack: Harness cube-turn prompt
  • Stack: Requested tool profile: python-mujoco-headless
Cost basis
  • actual marginal subscription charge usd: $0.00 USD.
Primary artifact integrity
  • Kind: open-loop-1khz-actuator-log
  • Path: artifacts/dex-cube-turn-mujoco-gpt-6-sol-max-codex-2026-09-22/evidence/model-supplied/ctrl.npy
  • SHA-256: 5ed921e1042a7e73eb39ae1483e2b23b10d0e22dea357c24839be369ca74fb38
Validation evidence
  • Result: PASS
  • Path: artifacts/dex-cube-turn-mujoco-gpt-6-sol-max-codex-2026-09-22/validation/judge-replay.public.json
  • SHA-256: de162e89a057f40fc8578c7eaa3a8caf531c7b700d756757ca9a5df42869fa49
  • Validator SHA-256: 5f7750274d345db503f3320931fedc68d0d3d01573dd5a88052910b9213d7203
Recorded caveats
  • The judge measures task completion only; there is no visual quality or blind evaluation for this task.
  • The replay clips are rendered by the operator's viewer from the judge's own trajectory export with a fixed camera; they are presentation evidence, not a measurement.
  • Wall clock is end-to-end workflow latency including the solver's own simulation and judge runs, not model-only compute.
  • This was a ChatGPT-subscription Codex run, so there is no dollar receipt: $0 was charged and Codex emits no cost field. API-equivalent is $1.29 at the GPT-6 Sol list rates (corrected 2026-09-24; the original registration wrongly stated no rate was on record).
  • provenance/orchestrator-results.md is the task project's own result section copied verbatim with absolute local paths replaced.
  • The raw Codex receipts (events.jsonl, meta.json, prompt and final-message files) carry the session id, the full reasoning transcript and local paths; they are not committed, only their sha256 commitments in provenance/source-receipt-hashes.json.
  • A Blender Cycles HERO RE-RENDER of this judged replay is pinned in provenance/clips.public.json as presentation: cycles-hero. Poses identical, visual layer only; pipeline ~/hero-render; two RTX 4090 Secure pods (US), 62.8 + 144.6 min, $0.77 + $1.78 + $0.65 aborted batch = $3.21 total. FAIL episodes rendered as-is. It is not a new run, adds no measurement and cannot change a verdict. It is not committed; it is pinned by name, sha256, bytes, frames and duration.
  • Nudge disclosure: none.
  • The harness self-check archive under evidence/sim-attempts/ is committed exactly as the harness wrote it, so its attempt records still carry the operator's workspace path in their cwd field.
Visible evidence gaps
  • hardware and interpreter receipt from the solver session (only the operator's replay environment is recorded)
Public result only

This result keeps its public summary and evidence, but it does not currently have a matching Builder test with prompts, projects, Harness workflows or skills.

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