GPT-6 Astra in OpenCode 1.18.32
skills off
Zoom, inline player and more ways to view
Wall time 6m 46sCost $1.38 reported
Review
No verdict yet.
The full review
OK. Finished on its own after 6.8 min and produced bmw_m4.svg.
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
agentic harness (save the file; self-render allowed), 441 characters. Every result for this prompt
Create a clean SVG illustration of a BMW M4 Competition in a side view. The image must follow a 4:3 aspect ratio. Use the original factory color of the BMW M4 Competition. Focus on coupe proportions and sporty stance. Use vector shapes without gradients. Save it as bmw_m4.svg in the current directory. You may render and inspect your own output (headless chromium is available at /usr/bin/chromium) and iterate on your own before finishing.
How it was made
Versions saved during the run
2 intermediate outputs, in the order the model wrote them.
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 machine-format transcript is published as a scrubbed download.
Show all 22 steps
Loading the timeline…
Download the full transcript OpenCode session export, 122 KB. 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 $1.38, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $1.32.
| Tokens by type | Tokens | $ per 1M | Cost |
|---|---|---|---|
| Input (uncached) | 26,844 | $10.00 | $0.2684 |
| Cache read | 207,150 | $1.00 | $0.2072 |
| Output | 16,818 | $50.00 | $0.8409 |
| of which reasoning | 6,876 | billed as output |
- Total computed from tokens
- $1.3165
- Total reported by the harness
- $1.3835
- Difference
- computed 1.3165 vs harness 1.3835
Tokens from OpenCode per-message usage; harness total = sum of OpenCode per-message cost. OpenCode reports reasoning separately; both bill at the output rate (output line here = output only, see reasoning).
Prices: Project price table; OpenAI Standard tier, requests whose prompt is >272K tokens bill at 2x input/cache and 1.5x output (applied per request where per-request usage is logged), 2026-09-22.
Run notes
- Verbatim; the post's five lines are joined with spaces so the prompt pastes into every TUI as one message.
- per-request tiering: requests with a prompt above 272K tokens billed at 2x input/cache, 1.5x output
- Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
- Isolation: bwrap: private /tmp and /run, private PID ns; only this run dir, harness binaries (ro), opencode config, /usr, /etc bound; HOME/TMPDIR/XDG data private; the project files and other runs not mounted