Measured harness ledgerPublic result
GPT-5.6 SolMacBook-class cinematic ad scene — GPT-5.6 Sol xhigh
Create one polished MacBook-class product-ad shot in Blender with a modeled device, legible industrial detail, intentional materials, lighting, camera movement, and a validator-ready scene.
xhigh reasoningHeadline result
- Workflow cost
- $7.67
- Wall-clock
- 55:49.9 wall-clock
- Processed tokens
- 7.46M processed
- Record state
- partial_token_timing_artifact_validation_ledger
Public summary
GPT-5.6 Sol xhigh partial_token_timing_artifact_validation_ledger ledger: 55:49.9 wall-clock, 7.46M processed, and $7.67 API-equivalent estimate, not a subscription invoice.
Run identity and stack
- Result ID: macbook-cinematic-blender-gpt-5.6-sol-xhigh
- Technical model: gpt-5.6-sol
- Provider: OpenAI Codex
- Stack: OpenAI Codex
- Stack: Technical model/configuration: gpt-5.6-sol
- Stack: Blender MCP
- Stack: Cinematic product scene
- Stack: Harness v1 MacBook validator
- Stack: Requested tool profile: blender-mcp
Cost basis
- Requests with more than 272,000 input tokens use long-context pricing; all 81 supplied calls were short-context.
- Separately priced tools and non-token services are excluded.
Primary artifact integrity
- Kind: blender-cinematic-product-ad-scene
- Path: artifacts/macbook-cinematic-blender-gpt-5.6-sol-xhigh/macbook_cinematic_final.blend
- SHA-256: e36a2b77189c4ed65502ba428594ee0f9b39b17bcd47710a28b44c9cf38da5e4
Validation evidence
- Result: PASS, 49/49 checks
- Path: artifacts/macbook-cinematic-blender-gpt-5.6-sol-xhigh/validation_log.json
- SHA-256: abd902e602fb64c29578d173de4105d76dbe7e56884d078581c029cb4b06373c
- Validator SHA-256: 54591de8d4ef2953c6f7e2fe3e4f4b3d9407b953049cc858b1012afaf9424d51
Recorded caveats
- Wall-clock is end-to-end latency, not model-only compute; it includes tool time and idle gaps between user turns.
- Output tokens include hidden reasoning, visible prose/code, and tool-call JSON.
- Cached input is deeply discounted, so total processed tokens overstate cost.
- This is an API-equivalent estimate rather than the actual charge for a subscription-backed Codex session.
- Separately priced tools and non-token services are excluded.
- Cache-creation tokens are zero because the Codex transcript schema does not expose a cache-write field.
- The metrics ledger does not identify the actual render GPU or preserve a Blender MCP tool-call transcript; the requested tool profile is recorded but not independently attested.
- The 1267x712 Cycles stills are audit evidence; the task intentionally does not require executing the configured 4K final animation.
Visible evidence gaps
- render-hardware identity
- Blender MCP tool-use transcript or disclosure
- blind-evaluation record
Builder test available
This result is part of a Builder test. Open it for the exact prompt and any released projects, RemakeBench Harness workflows and production skills. Public proof and known evidence gaps stay visible here.
- Kimi K3 Launch 002 · v1