AI Model Reviewer

GPT-6 Astra in OpenCode 1.18.32

skills off

← Open in the gallerySame prompt, all models

GPT-6 Astra's render for blender_lowpoly_dragon
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.

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.

OKLowpoly dragonmax effortNeutral harness

Wall time 49m 50sCost $6.57 reported

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 (650 KB).

Review

No verdict yet.

The full review

OK. Finished on its own after 49.8 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, 1,049 characters. Every result for this prompt

Make a low-poly scene in Blender of a dragon guarding its treasure: a stylised low-poly dragon curled protectively around a heap of gold coins, gems and an open treasure chest in a rocky cave, lit by the warm glow of the gold and a cool light from the cave mouth. 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 49m 50sFirst artifact at 31m 58s1 saved version

Versions saved during the run

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

Version 1 of 1
  1. v1 32:34

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

Show all 123 steps

Loading the timeline…

Download the full transcript OpenCode session export, 64 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 $6.57, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $6.38.

Tokens by typeTokens$ per 1MCost
Input (uncached)213$10.00$0.0021
Cache write77,846$10.00$0.7785
Cache read3,666,392$1.00$3.6664
Output38,644$50.00$1.9322
of which reasoning11,889billed as output
Total computed from tokens
$6.3792
Total reported by the harness
$6.5738
Difference
Harness-reported $6.5738 vs list-price estimate $6.3792 (-3.0%); the harness figure is the headline.

OpenCode 1.18.32 reported its own total; token counts x list prices shown beside it. Cache writes priced at the input rate (the price table has no separate cache-write price). The harness reports reasoning tokens separately from output; here output includes them (26,755 visible + 11,889 reasoning), and both bill at the output rate.

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

Run notes

one prompt, agentic harness (self-review allowed)prompt rewritten after the 2026-09-24 box losslabelled re-run (of blender_lowpoly_dragon__opencode__gpt-6-astra)

  • frozen prompt (rewritten): engine/prompts_rewritten/blender_lowpoly_dragon.txt: written by us from the recorded description (zero results) | re-frozen 2026-09-27 before any result to also ask for wireframe.png (still zero results; one new frozen prompt per the prompt rule)
  • plain OpenCode config copy (providers only; no ECC instructions/agents)
  • 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
  • opencode export written to a file (not piped)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Isolation audit: outside paths seen