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GPT-6 Astra in Codex CLI 0.156.1

skills off

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GPT-6 Astra's render for blender_chess_set_midgame
The agent’s render of its Blender scene

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Web model exported by this site from the scene.blend the agent saved during the run. The model is not a deliverable produced by the agent. The render and original scene are separate downloads below.

OKChess set midgamemax effortNeutral harness

Wall time 38m 49sCost $12.22 estimated

Generation timelapse

Poster for generation timelapse

Generation timelapse (the agent's screen during the run, sped up). This is not the finished video. Download video (822 KB).

Review

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The full review

OK. Finished on its own after 38.8 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, 1,061 characters. Every result for this prompt

A complete chess board with all 32 pieces in a midgame position, pieces lathe-modelled (pawn, rook, bishop, knight simplified, queen, king) in polished light and dark wood, on a checkered board with a bevelled frame. Low-angle camera, soft area light, shallow depth of field. 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). Then render a wireframe view of the same scene from the same camera at 1920x1080 (for example the Workbench engine with wireframe shading, or a wireframe pass) and save it as wireframe.png here too, 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 38m 49sFirst artifact at 36m 57s1 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 37m 10s thumbnailv1 37:10

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 15.9 MB; it is published as a scrubbed, compressed download rather than shown on the page.

Show all 113 steps

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Download the full transcript Codex CLI rollout JSONL, 141 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 $12.22, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)228$10.00$0.0023
Cache write159,123$10.00$1.5912
Cache read6,923,196$1.00$6.9232
Output74,160$50.00$3.7080
of which reasoning46,252billed as output
Total computed from tokens
$12.22
Total reported by the harness
none

Computed from harness-reported token counts x list prices. Cache writes priced at the input rate (the price table has no separate cache-write price).

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

Run notes

one prompt, agentic harness (self-review allowed)labelled re-run (of blender_chess_set_midgame__codex__gpt-6-astra)

  • frozen prompt (written): our frozen prompt, suite blender_15 (harness variant), written 2026-09-27 (zero results)
  • plain CODEX_HOME copy (config.toml only, run work/ trusted; no AGENTS.md/skills/state)
  • 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
  • Isolation audit: outside paths seen