GPT-6 Astra in OpenCode 1.18.32
skills off
Zoom, inline player and more ways to view
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.
Wall time 17m 58sCost $4.09 reported
Review
No verdict yet.
The full review
OK. Finished on its own after 18.0 min.
Scores
AI judge
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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.
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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, 3,757 characters. Every result for this prompt
Build an interactive SaaS growth dashboard from the exact dataset below (CSV: one row per month and plan with customers at the start of the month, new and churned customers during it, and the monthly list price per customer in US dollars). Embed the data in the page verbatim and compute every number from it; do not invent or alter any value. Ending customers = customers_start + new_customers - churned_customers, and MRR = ending customers x price_usd. month,plan,customers_start,new_customers,churned_customers,price_usd 2025-05,Starter,220,36,15,19 2025-05,Team,90,10,3,79 2025-05,Enterprise,12,3,0,499 2025-06,Starter,241,39,15,19 2025-06,Team,97,12,3,79 2025-06,Enterprise,15,1,1,499 2025-07,Starter,265,46,16,19 2025-07,Team,106,9,4,79 2025-07,Enterprise,15,1,0,499 2025-08,Starter,295,33,24,19 2025-08,Team,111,18,3,79 2025-08,Enterprise,16,2,0,499 2025-09,Starter,304,29,18,19 2025-09,Team,126,13,4,79 2025-09,Enterprise,18,3,0,499 2025-10,Starter,315,47,23,19 2025-10,Team,135,16,6,79 2025-10,Enterprise,21,2,1,499 2025-11,Starter,339,36,20,19 2025-11,Team,145,13,4,79 2025-11,Enterprise,22,3,0,499 2025-12,Starter,355,45,25,19 2025-12,Team,154,17,6,79 2025-12,Enterprise,25,0,0,499 2026-01,Starter,375,38,26,19 2026-01,Team,165,16,4,79 2026-01,Enterprise,25,2,0,499 2026-02,Starter,387,28,31,19 2026-02,Team,177,15,25,79 2026-02,Enterprise,27,1,0,499 2026-03,Starter,384,31,25,19 2026-03,Team,167,17,5,79 2026-03,Enterprise,28,2,1,499 2026-04,Starter,390,29,20,19 2026-04,Team,179,9,6,89 2026-04,Enterprise,29,1,0,549 2026-05,Starter,399,32,34,19 2026-05,Team,182,16,6,89 2026-05,Enterprise,30,2,0,549 2026-06,Starter,397,30,33,19 2026-06,Team,192,12,8,89 2026-06,Enterprise,32,0,1,549 2026-07,Starter,394,43,27,19 2026-07,Team,196,15,8,89 2026-07,Enterprise,31,0,1,549 2026-08,Starter,410,41,28,19 2026-08,Team,203,17,7,89 2026-08,Enterprise,30,0,0,549 2026-09,Starter,423,43,35,19 2026-09,Team,213,15,5,89 2026-09,Enterprise,30,2,0,549 2026-10,Starter,431,28,25,19 2026-10,Team,223,19,7,89 2026-10,Enterprise,32,3,1,549 The dashboard needs: KPI cards for current MRR, MRR growth over the period, current customers, average monthly logo churn rate and net revenue retention estimate; a stacked area chart of MRR by plan over time; a waterfall chart that decomposes the most recent month's MRR change into new, churned and price-change effects; a churn-rate line per plan with any month above twice its plan's average flagged and explained in an annotation; a cohort-style table of customers by plan and month with heat colouring; plan and date-range filters that update every chart; hover or tap tooltips with exact values; and a short auto-written insights panel (three sentences) computed from the data, such as which plan drives growth and when prices changed. Use a refined, modern product-analytics look. So the page is alive without input, on load the charts animate in and then a guided tour cycles forever: it highlights each KPI, steps a cursor through the months on the area chart with live tooltips, rebuilds the waterfall, applies and clears a plan filter, and points out the churn anomaly, until the user touches a control. 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
Versions saved during the run
5 intermediate outputs, in the order the model wrote them.
No transcript was delivered with this result.
Cost breakdown
Headline cost $4.09, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $3.94.
| Tokens by type | Tokens | $ per 1M | Cost |
|---|---|---|---|
| Input (uncached) | 78 | $10.00 | $0.0008 |
| Cache write | 62,153 | $10.00 | $0.6215 |
| Cache read | 1,082,812 | $1.00 | $1.0828 |
| Output | 44,603 | $50.00 | $2.2302 |
| of which reasoning | 9,048 | billed as output |
- Total computed from tokens
- $3.9353
- Total reported by the harness
- $4.0907
- Difference
- Harness-reported $4.0907 vs list-price estimate $3.9353 (-3.8%); 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 (35,555 visible + 9,048 reasoning), and both bill at the output rate.
Prices: Project price table (vendor list prices), 2026-09-22.
Run notes
- frozen prompt (written): written 2026-10-05 for the MR category expansion (owner request: 500 finished runs in every category); category data_dashboards; 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: none
- Renderer: inline SVG (first <svg> at index.html line 26) 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.