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GPT-6 Astra in OpenCode 1.18.32

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Poster frame of GPT-6 Astra's page
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The model's own page, run in a sandboxed frame only when you ask (a page that needs its own origin opens in a new tab on a separate demo site). Phones get a full-screen player capped at 1.5x pixel density (2x on larger screens) so it stays smooth; the original page runs uncapped. Tap inside for sound.

OKMaze generate and solvemax effortNeutral harness

Wall time 17m 14sCost $3.12 reported

Review

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The full review

OK. Finished on its own after 17.2 min.

Scores

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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.
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Downloads

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

The exact prompt

as run, 1,941 characters. Every result for this prompt

Build a maze generation and solving show: four panels side by side (a grid on narrow screens) each carve the same-size 31 x 21 maze with a different generator at the same time: recursive backtracker (depth-first), randomized Prim's, randomized Kruskal's with union-find, and Wilson's loop-erased random walk. Show each generator's working state honestly: the backtracker's stack as a glowing trail, Prim's frontier cells, Kruskal's sets as distinct colours that merge as walls fall, Wilson's wandering walk with its loops being erased. Count steps per panel. When a maze is complete, solve it in the same panel with A* from the top-left to the bottom-right corner, drawing the open set, the closed set and the final path as a bright line, and show path length and cells explored. Then display a small comparison (generation steps, dead ends, longest corridor, solution length) so viewers see how the generators produce different textures of maze. Controls: maze size presets, speed slider, play, pause, single step, regenerate, and a toggle to solve with breadth-first search instead of A*. So the page is alive without input, on load it generates and solves automatically, then waits 3 seconds and starts a new round with a fresh seed, forever, until the user touches a control. Make it feel like a calm, hypnotic museum installation.

Save it as index.html in the current directory: one self-contained file with inline CSS and JavaScript only, no libraries or frameworks, and no external requests of any kind (no CDNs, web fonts, images or audio files). It must work when opened directly from disk, fit any window from a 390 px wide phone to a desktop, and run without console errors. You may serve it locally and open it in headless chromium (/usr/bin/chromium, software WebGL, no GPU) to screenshot and inspect your own output, and iterate on your own before finishing. Close any browser you open as soon as you've taken your screenshot.

How it was made

Wall time 17m 14sFirst artifact at 9m 43s2 saved versions

Versions saved during the run

2 intermediate outputs, in the order the model wrote them.

Version 2 of 2
  1. v1 9:51
  2. v2 15:19

No transcript was delivered with this result.

Cost breakdown

Headline cost $3.12, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $3.00.

Tokens by typeTokens$ per 1MCost
Input (uncached)84$10.00$0.0008
Cache write48,400$10.00$0.4840
Cache read894,788$1.00$0.8948
Output32,477$50.00$1.6239
of which reasoning8,436billed as output
Total computed from tokens
$3.0035
Total reported by the harness
$3.1245
Difference
Harness-reported $3.1245 vs list-price estimate $3.0035 (-3.9%); 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 (24,041 visible + 8,436 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)

  • frozen prompt (written): written 2026-10-05 for the MR category expansion (owner request: 500 finished runs in every category); category algorithm_visualizers; zero results
  • plain OpenCode config copy (providers only; no ECC instructions/agents)
  • opencode export written to a file (not piped)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Isolation audit: outside paths seen
  • Renderer: inline SVG (first <svg> at index.html line 242) plus an HTML5 2D canvas (getContext('2d') at index.html line 616) in one self-contained HTML file; no libraries, no CDN, no external assets. No WebGPU or WebGL needed.
  • Card video: the run's own video.mp4 (H.264 yuv420p, unchanged). Poster: the run's own render.png.
  • Same frozen prompt as the other rows on this test; configurations differ and all rows are unscored, so this is not a head-to-head result.