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GPT-6 Astra in OpenCode 1.18.32

skills off

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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.

OKMst kruskal primmax effortNeutral harness

Wall time 14m 11sCost $4.29 reported

Review

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The full review

OK. Finished on its own after 14.2 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, 2,010 characters. Every result for this prompt

Build a minimum spanning tree race on a map of 40 towns: the towns are random points connected by a Delaunay-style or k-nearest-neighbour road network with weights equal to road length. Two panels side by side (stacked on narrow screens) run Kruskal's and Prim's algorithms at the same time on the same graph, one primitive step per tick. Kruskal's panel shows the edge list sorted by weight on the side with a cursor moving down it, each considered edge flashing, accepted edges turning bright, rejected edges (that would make a cycle) crossing out red, and the union-find forest drawn as coloured town groups that merge as edges are added. Prim's panel shows the growing tree from a starting town, the priority queue of frontier edges as a small sorted list, and the cheapest frontier edge being chosen each step. Count edges considered and total weight so far in each panel; when both finish, overlay them to show they found the same total weight, and highlight any edges where ties made them differ. Controls: town-count slider (10 to 120), layout presets (uniform, clustered, ring, grid with jitter), start town for Prim (click or tap a town), speed slider, play, pause, step, reset. So the page is alive without input, on load it races automatically and then starts a new random map after a 3 second pause, forever, until the user touches a control. Make it look like a beautiful glowing night map.

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 14m 11sFirst artifact at 4m 26s5 saved versions

Versions saved during the run

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

Version 5 of 5
  1. Version 1 at 4m 36s thumbnailv1 4:36
  2. Version 2 at 8m 23s thumbnailv2 8:23
  3. Version 3 at 11m 44s thumbnailv3 11:44
  4. Version 4 at 12m 55s thumbnailv4 12:55
  5. Version 5 at 13m 51s thumbnailv5 13:51

No transcript was delivered with this result.

Cost breakdown

Headline cost $4.29, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $4.14.

Tokens by typeTokens$ per 1MCost
Input (uncached)87$10.00$0.0009
Cache write62,638$10.00$0.6264
Cache read1,174,750$1.00$1.1747
Output46,661$50.00$2.3331
of which reasoning10,713billed as output
Total computed from tokens
$4.1350
Total reported by the harness
$4.2916
Difference
Harness-reported $4.2916 vs list-price estimate $4.1350 (-3.6%); 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 (35,948 visible + 10,713 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: Canvas 2D (getContext('2d') at index.html line 539) plus DOM/CSS UI and inline SVG; single self-contained index.html, no CDN and no external assets.
  • Card video: the run's own session capture (headless Chromium, no GPU), re-encoded as H.264. Poster: the run's own render.png.