GLM-5.3 (fast router) in OpenCode 1.18.35
skills on · OpenCode 1.18.35 + skills on (54: 33 video + 21 web/Three.js)Kit: 33 video + 21 web/Three.js · 1 of 54 installed skills used in the session
The model did not finish, so there is no output.
Wall time 4m 35sCost $0.26 reported
Review
No verdict yet.
The full review
DNF. Harness exited after 4.6 min without writing index.html. The model's last message stopped at the output-token limit (stop reason max_tokens / length) without a tool call, so the non-interactive run ended there.
Scores
Not scored: only runs that finished on their own are scored.
Downloads
Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.
The exact prompt
as run, 3,863 characters. Every result for this prompt
Build an interactive climate dashboard comparing six weather stations from the exact dataset below (CSV: one row per city and month with the average daily high temperature in Celsius, total rainfall in millimetres and sunshine hours). Embed the data in the page verbatim and compute every number from it; do not invent or alter any value. city,month,avg_high_c,rain_mm,sun_hours Reykjavik,Jan,0.4,77,54 Reykjavik,Feb,0.9,76,81 Reykjavik,Mar,3.8,67,116 Reykjavik,Apr,6.3,48,147 Reykjavik,May,10.1,32,221 Reykjavik,Jun,12.9,24,247 Reykjavik,Jul,13.2,24,274 Reykjavik,Aug,12.2,29,233 Reykjavik,Sep,9.9,37,214 Reykjavik,Oct,6.2,51,160 Reykjavik,Nov,3.1,59,103 Reykjavik,Dec,2.6,74,77 Lisbon,Jan,13.3,100,52 Lisbon,Feb,14.1,99,77 Lisbon,Mar,18.5,69,113 Lisbon,Apr,20.3,47,168 Lisbon,May,25.3,31,222 Lisbon,Jun,27.9,15,245 Lisbon,Jul,28.5,1,259 Lisbon,Aug,27.6,5,259 Lisbon,Sep,24.3,21,212 Lisbon,Oct,21.1,51,146 Lisbon,Nov,18.0,83,100 Lisbon,Dec,15.4,89,84 Singapore,Jan,29.6,254,152 Singapore,Feb,30.6,249,136 Singapore,Mar,30.4,223,151 Singapore,Apr,31.4,201,174 Singapore,May,31.6,183,132 Singapore,Jun,30.9,158,155 Singapore,Jul,31.8,164,167 Singapore,Aug,31.0,163,160 Singapore,Sep,30.8,182,130 Singapore,Oct,31.9,203,172 Singapore,Nov,30.7,235,129 Singapore,Dec,29.9,237,146 Denver,Jan,5.9,47,63 Denver,Feb,7.5,42,76 Denver,Mar,11.6,41,101 Denver,Apr,18.0,40,160 Denver,May,24.9,27,219 Denver,Jun,30.0,23,251 Denver,Jul,30.7,22,253 Denver,Aug,29.4,25,241 Denver,Sep,24.9,38,201 Denver,Oct,17.6,29,153 Denver,Nov,12.2,33,106 Denver,Dec,7.4,35,64 Cape Town,Jan,27.6,9,269 Cape Town,Feb,25.9,16,279 Cape Town,Mar,24.9,30,236 Cape Town,Apr,23.3,60,192 Cape Town,May,21.0,68,142 Cape Town,Jun,18.1,87,111 Cape Town,Jul,17.8,94,111 Cape Town,Aug,18.8,79,131 Cape Town,Sep,20.3,69,163 Cape Town,Oct,22.7,46,187 Cape Town,Nov,24.4,35,227 Cape Town,Dec,25.9,16,280 Mumbai,Jan,30.2,7,62 Mumbai,Feb,30.0,6,68 Mumbai,Mar,29.9,11,121 Mumbai,Apr,32.1,79,166 Mumbai,May,33.0,247,205 Mumbai,Jun,33.0,481,245 Mumbai,Jul,33.2,601,273 Mumbai,Aug,32.3,494,241 Mumbai,Sep,32.5,252,225 Mumbai,Oct,31.5,67,166 Mumbai,Nov,29.8,3,115 Mumbai,Dec,30.1,7,81 The dashboard needs: small-multiple climate charts, one per city, each with monthly temperature as a line over rainfall as bars and the two axes clearly labelled; a radial (polar) chart of the selected city's year with temperature as radius and rainfall as colour; a heatmap of temperature by city and month; KPI cards per city for annual rainfall, hottest and coldest month, temperature range and total sunshine; a 'best month to visit' calculator with sliders for preferred temperature range, maximum rain and minimum sunshine that scores every city-month and lists the top five; a Celsius and Fahrenheit toggle; hover or tap tooltips with exact values; and a short auto-written comparison panel computed from the data. Make it beautiful, editorial and calm, like a data feature in a great magazine. So the page is alive without input, on load the charts draw in and a tour cycles forever: it rotates the radial chart through each city, sweeps a highlight across the heatmap month by month, adjusts the visit calculator sliders to show the ranking change, and toggles units once per loop, 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
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 4 steps
Loading the timeline…
Download the full transcript OpenCode session export, 135 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 $0.26, as reported by OpenCode (its own bill for the run).
| Tokens by type | Tokens | $ per 1M | Cost |
|---|---|---|---|
| Input (uncached) | 18,059 | n/a | n/a |
| Cache write | 0 | n/a | n/a |
| Cache read | 15,653 | n/a | n/a |
| Output | 32,368 | n/a | n/a |
- Total computed from tokens
- unknown
- Total reported by the harness
- $0.2577
OpenCode 1.18.35 reported its own total; token counts x list prices shown beside it. No list price for glm-5.3-fast in config/prices.json; no estimate computed. The harness reports reasoning tokens separately from output; here output includes them (12 visible + 32,356 reasoning), and both bill at the output rate.
Run notes
- frozen prompt (written): core requirements sha256 6d5fbb9a4049, full harness prompt sha256 6d5fbb9a4049; exact prompt text used by the existing harness rows of this test on the runs branch (copied from dash_world_weather_stations__claude-code__opus-5-5-high__attempt1/meta.json, sha256 verified); Beta hal
- no TUI: the harness ran in its non-interactive mode, so there are no TUI screenshots; the timelapse is built from version renders only
- OpenCode config (providers only, permission allow-all except question; no agents/instructions) + both default skill kits in xdg/config/opencode/skill (skills=on)
- infra retries: 0
- in the published transcript the sandbox HOME directory is shown as <HOME>
- skills=on: 54 skills installed in the harness skill directory before launch (video-33 remotion-dev/skills + heygen-com/hyperframes@0b5db9da + f; web-threejs-21 [redacted]/ai-AI Model Reviewer skills/ (alpha/mr-homebar)@7521074d98c9).
- Mode: headless run mode (opencode run --format json), inside bubblewrap sandbox
- Isolation audit: none
- Skills on: the run had 54 skills installed (33 video + 21 web/Three.js), as its meta records.
- GLM-5.3 Fast is a fast-serving router over the glm-5p3 weights (router created 2026-08-28; responses report glm-5p3)
- GLM-5.3 (fast router) served via Fireworks (OpenCode provider fireworks-ai).
- 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.