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Claude Opus 5.5 in Claude Code 2.1.280

skills off

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Claude Opus 5.5's render for blender_donut
The agent’s render of its Blender scene

Showing the agent’s render. Tap to load the model, then drag to orbit or pinch to zoom.

3D model file kept in this run's site media. The run did not save its scene.blend, so this model is not traced to a saved scene; the agent's render below is the run's own output.

OKDonutmax effortHome harness

Wall time 1h 22mCost $13.54 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 82.6 min.

Scores

AI judge

Not scored

No rubric for this prompt

Visitor votes and reviewer grades are not available yet.

AI judge
AI judge: the test runner (model claude-opus-5-5), scoring by visual review of the 1600 px render against the pre-registered rubric. No AI-judge score exists for this result: there is no rubric for this prompt, so no score is shown and none is made up.
Visitors
Public voting with a blind reveal is coming: you score the output first, then see the other scores.
Reviewer
The reviewer's own grade appears here once it is added.

Scores compare results for the same prompt only. AI-judge boards rank runs within one prompt, equal totals sharing a rank; scores from different prompts are never averaged.

Downloads

Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.

The exact prompt

as run, 614 characters. Every result for this prompt

Make me a donut in Blender. Blender 5.2 is already running on this machine with the MCP for Blender add-on connected: build the scene in that Blender through the blender MCP tools (its window is on a virtual screen and there is no GPU, so render on the CPU). When you are finished, set up a camera and render the final image at 1920x1080, saving it as render.png in the current directory (Blender's working directory is this same folder), and save the Blender file as scene.blend here too. You may take viewport screenshots and look at your own renders to check your work, and iterate on your own before finishing.

How it was made

Wall time 1h 22mFirst artifact at 1h 21m1 saved version

Versions saved during the run

1 intermediate output, in the order the model wrote them.

Version 1 of 1
  1. Version 1 at 1h 21m thumbnailv1 1:21:30

Step by step

The prompt, every agent turn and tool call (tool name and a one-line summary; inputs and outputs are not shown), then the final message. The full transcript is 19.4 MB; it is published as a scrubbed, compressed download rather than shown on the page.

Show all 166 steps

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Download the full transcript Claude Code session JSONL, 266 KB, gzip. Scrubbed: anything that looks like a key, token, e-mail address or phone number is replaced, and account details and the test machine's file paths are removed.

Cost breakdown

Headline cost $13.54, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)236$4.00$0.0009
Cache write946,860$5.00$4.7343
Cache read25,488,636$0.20$5.0977
Output185,329$20.00$3.7066
of which reasoning116,019billed as output
Total computed from tokens
$13.54
Total reported by the harness
none

Computed from harness-reported token counts x list prices.

Prices: Project price table (vendor list prices), 2026-09-22.

Run notes

one prompt, agentic harness (self-review allowed)reconstructed prompt

  • frozen prompt (reconstructed): recovery/prompts_recovered/blender_donut.assembled_candidate.txt: verbatim ask + recorded harness suffix
  • plain wave-1-equivalent cc_config copy (settings.json + .claude.json; no ECC files)
  • W6: Blender 5.2.2 GUI on a private Xvfb display inside the sandbox (filesystem socket in the sandbox's own /tmp only, per-run cookie), software OpenGL (llvmpipe), render threads 2; working directory = the run's work dir
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Context setting: 1M ([1m] model name)
  • Isolation audit: outside paths seen