Measured harness ledgerPublic result
GPT-6 AstraCARVE — GPT-6 Astra Max
Build a playable Babylon.js WebGPU snowboarding game with the supplied rider asset, carved terrain, tricks, obstacles, audio, and a complete downhill run.
Max reasoningHeadline result
- Workflow cost
- $39.12
- Wall-clock
- 1h 52m 02.7s wall-clock
- Processed tokens
- 26.89M processed
- Record state
- partial_model_supplied_runtime_evidence_with_independent_clean_build
Public summary
GPT-6 Astra Max partial_model_supplied_runtime_evidence_with_independent_clean_build ledger: 1h 52m 02.7s wall-clock, 26.89M processed, and $39.12 Standard API-equivalent estimate from the supplied Codex receipt, not an actual subscription charge..
Run identity and stack
- Result ID: carve-webgpu-snowboarding-gpt-6-astra-max
- Technical model: gpt-6-astra
- Provider: OpenAI Codex
- Stack: OpenAI Codex
- Stack: Technical model/configuration: gpt-6-astra
- Stack: Babylon.js WebGPU
- Stack: Supplied snowboarder fixture
- Stack: Harness v1 CARVE prompt
Primary artifact integrity
- Kind: interactive-webgpu-snowboarding-game
- Path: artifacts/carve-webgpu-snowboarding-gpt-6-astra-max/source/src/main.js
- SHA-256: 37507556ab69cb32728c3e2d8cbb88d40134eebfac73905eb679a7573ff83d79
Recorded caveats
- Wall-clock is end-to-end workflow latency, not model-only compute; it includes tool execution and waits.
- Output tokens include hidden reasoning, visible prose/code, and tool-call JSON.
- Cache reads are discounted, so processed-token volume overstates effective cost.
- The archive operator independently reproduced a clean build but did not independently play the WebGPU game; gameplay, asset-review, and performance reports are retained as model-supplied evidence.
- The source performance report records a native-1080p 60 FPS target miss on Apple M1 Pro. Its reduced-resolution figures are not standardized desktop-GPU results.
- No portable Blender builder source for the submitted generated environment assets was supplied; the runtime GLBs, asset manifests, and close-up evidence are archived instead.
- The shared snowboarder fixture is an immutable supplied input; its prior generation is excluded from this contestant's cost and output.
- No blind evaluation is recorded.
Visible evidence gaps
- independent WebGPU gameplay replay through real input
- standardized fixed-hardware FPS measurement
- blind-evaluation record
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.