GLM-5.3 in OpenCode 1.18.32
skills off
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Wall time 27m 31sCost $1.03 reported
Review
No verdict yet.
The full review
OK. Finished on its own after 27.5 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, 272 characters. Every result for this prompt
create an svg where a dolphin is riding a bicycle while using vlogging with a phone. Save it as dolphin.svg in the current directory. You may render and inspect your own output (headless chromium is available at /usr/bin/chromium) and iterate on your own before finishing.
How it was made
Versions saved during the run
4 intermediate outputs, in the order the model wrote them.
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 49 steps
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Download the full transcript OpenCode session export, 348 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 $1.03, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $1.03.
| Tokens by type | Tokens | $ per 1M | Cost |
|---|---|---|---|
| Input (uncached) | 109,594 | $1.40 | $0.1534 |
| Cache write | 0 | $1.40 | $0 |
| Cache read | 1,817,146 | $0.26 | $0.4725 |
| Output | 92,577 | $4.40 | $0.4073 |
| of which reasoning | 80,569 | billed as output |
- Total computed from tokens
- $1.0332
- Total reported by the harness
- $1.0332
- Difference
- matches
OpenCode 1.18.32 reported its own total; token counts x list prices shown beside it. The harness reports reasoning tokens separately from output; here output includes them (12,008 visible + 80,569 reasoning), and both bill at the output rate.
Prices: https://fireworks.ai/models/fireworks/glm-5p3, 2026-09-24.
Run notes
- frozen prompt (rewritten): engine/prompts_rewritten/dolphin_vlog_bicycle.txt: written by us from the recorded description (zero results)
- plain OpenCode config copy (providers only; no ECC instructions/agents)
- opencode export written to a file (not piped)
- Run on a GitHub Codespace (codespaces lane of box-fleet); model calls reached the providers through a credential relay on the home machine (no keys in the codespace).
- Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
- Isolation audit: outside paths seen