GPT-6 Astra in Codex CLI 0.156.1
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 25m 57sCost $4.21 estimated
Review
No verdict yet.
The full review
OK. Finished on its own after 26.0 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, 3,529 characters. Every result for this prompt
Build an interactive sales dashboard for a small coffee chain from the exact dataset below (CSV, 48 rows: 4 stores x 12 months of 2025). Embed the data in the page verbatim and compute every number from it; do not invent, round away or alter any value. month,store,cups,revenue_usd,new_members 2025-01,Harbour St,8620,48001.40,219 2025-01,Uni Quad,4670,22784.08,136 2025-01,Airport T2,9980,72817.87,285 2025-01,Old Mill,5140,26339.15,156 2025-02,Harbour St,8660,48132.70,179 2025-02,Uni Quad,7510,36583.14,176 2025-02,Airport T2,10710,78626.32,196 2025-02,Old Mill,5120,26783.20,145 2025-03,Harbour St,9600,53507.52,224 2025-03,Uni Quad,8140,40574.60,197 2025-03,Airport T2,11420,85142.33,222 2025-03,Old Mill,5980,31337.13,191 2025-04,Harbour St,9950,55661.36,280 2025-04,Uni Quad,8080,40043.67,147 2025-04,Airport T2,12350,92727.38,298 2025-04,Old Mill,6240,33325.28,151 2025-05,Harbour St,10520,61004.42,275 2025-05,Uni Quad,8460,41597.39,177 2025-05,Airport T2,12500,94954.01,301 2025-05,Old Mill,6130,32148.65,176 2025-06,Harbour St,10620,61721.59,313 2025-06,Uni Quad,9200,45959.02,213 2025-06,Airport T2,12750,96839.34,255 2025-06,Old Mill,6940,37380.48,168 2025-07,Harbour St,10960,63515.58,232 2025-07,Uni Quad,5610,28440.56,130 2025-07,Airport T2,13010,97534.46,267 2025-07,Old Mill,7310,39219.21,204 2025-08,Harbour St,11000,62556.63,252 2025-08,Uni Quad,9900,49592.99,265 2025-08,Airport T2,13860,104199.02,279 2025-08,Old Mill,6750,35505.26,164 2025-09,Harbour St,9960,56831.50,271 2025-09,Uni Quad,8750,44825.12,174 2025-09,Airport T2,12770,99211.32,301 2025-09,Old Mill,6520,35173.20,204 2025-10,Harbour St,9800,57724.32,231 2025-10,Uni Quad,8510,43550.50,222 2025-10,Airport T2,11410,88144.32,282 2025-10,Old Mill,5920,31946.68,180 2025-11,Harbour St,10260,59774.09,229 2025-11,Uni Quad,8660,44209.58,203 2025-11,Airport T2,12430,96807.87,266 2025-11,Old Mill,6160,33615.60,188 2025-12,Harbour St,12660,75310.44,360 2025-12,Uni Quad,6550,32992.14,188 2025-12,Airport T2,14490,110341.47,368 2025-12,Old Mill,7280,39635.82,218 The dashboard needs: KPI cards for total revenue, total cups, average ticket (revenue / cups) and total new members; a monthly revenue line chart with one line per store; a stacked bar chart of cups per quarter split by store; a ranking of stores by revenue; and a table of the raw rows that can be sorted by clicking any column header. Store filter toggles must update every KPI, chart and the table together. Hovering any chart point or bar shows a tooltip with its exact values. Format money as US dollars with thousands separators. Draw the charts yourself with SVG or Canvas. So the page is alive without input, it plays a short guided tour on load: it highlights each store in turn for about 2 seconds (dimming the others in every chart), then returns to all stores; any click or key press stops the tour. Make it look like a polished product, readable on desktop and phone. 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
2 intermediate outputs, in the order the model wrote them.
No transcript was delivered with this result.
Cost breakdown
Headline cost $4.21, estimated from the token counts at list price.
| Tokens by type | Tokens | $ per 1M | Cost |
|---|---|---|---|
| Input (uncached) | 63 | $10.00 | $0.0006 |
| Cache write | 72,106 | $10.00 | $0.7211 |
| Cache read | 966,453 | $1.00 | $0.9665 |
| Output | 50,519 | $50.00 | $2.5259 |
| of which reasoning | 20,249 | billed as output |
- Total computed from tokens
- $4.2141
- Total reported by the harness
- none
Computed from harness-reported token counts x list prices. Cache writes priced at the input rate (the price table has no separate cache-write price).
Prices: Project price table (vendor list prices), 2026-09-22.
Run notes
- frozen prompt (written): written 2026-10-01 for the MR new-categories expansion (owner request: expand model review with new kinds of tests); category data_dashboards; zero results
- plain CODEX_HOME copy (config.toml only, run work/ trusted; no AGENTS.md/skills/state)
- Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
- Isolation audit: outside paths seen
- Renderer: inline SVG (first <svg> at index.html line 239) 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.