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GLM-5.3 in Claude Code 2.1.280

skills off

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GLM-5.3's SVG for pelican_car_france

OKPelican car francemax effortNeutral harness

Wall time 27m 09sCost $0.81 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 27.2 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, 302 characters. Every result for this prompt

Generate an SVG of a pelican riding a car in France with a cat sitting beside it. Background has Eiffel tower. Save it as pelican_car.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

Wall time 27m 09sFirst artifact at 17m 06s3 saved versions

Versions saved during the run

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

Version 3 of 3
  1. Version 1 at 17m 10s thumbnailv1 17:10
  2. Version 2 at 21m 13s thumbnailv2 21:13
  3. Version 3 at 23m 55s thumbnailv3 23:55

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 33 steps

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Download the full transcript Claude Code session JSONL, 547 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 $0.81, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)88,063$1.40$0.1233
Cache write0$1.40$0
Cache read1,091,382$0.26$0.2838
Output91,821$4.40$0.4040
of which reasoning0billed as output
Total computed from tokens
$0.8111
Total reported by the harness
none

Computed from harness-reported token counts x list prices.

Prices: https://fireworks.ai/models/fireworks/glm-5p3, 2026-09-24.

Run notes

one prompt, agentic harness (self-review allowed)prompt rewritten after the 2026-09-24 box losslabelled re-run (of pelican_car_france__claude-code__glm-5.3)

  • frozen prompt (rewritten): engine/prompts_rewritten/pelican_car_france.txt: written by us from the recorded description (zero results)
  • plain wave-1-equivalent cc_config copy (settings.json + .claude.json; no ECC files)
  • render self-inspection unavailable (text-only model)
  • 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
  • Context setting: Claude Code default 200k context
  • Isolation audit: outside paths seen