AI Model Reviewer

Claude Opus 5.5 in a raw API call

raw API baseline

← Open in the gallerySame prompt, all models

DNF

The model did not finish, so there is no output.

DNFGrand Pianohigh effortRaw baseline

Wall time 11m 41sCost $1.28 estimated

Review

No verdict yet.

The full review

DNF. hit the 64000 output-token cap before finishing (no <svg>...</svg> in the reply)

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, 462 characters. Every result for this prompt

Create a single self-contained SVG illustration of a black grand piano with its lid propped open showing strings and hammers, a bench, and sheet music on the stand. Use viewBox="0 0 1200 900" with width="1200" height="900". No external assets, no raster images, no external fonts (generic font families such as sans-serif are fine), no scripts. Output ONLY the complete SVG code, starting with <svg and ending with </svg>, with no explanation or markdown fences.

How it was made

Wall time 11m 41s

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 2 steps

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Download the full transcript raw API response, 1 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 $1.28, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)162$4.00$0.0006
Cache write0$5.00$0
Cache read0$0.20$0
Output64,000$20.00$1.2800
Total computed from tokens
$1.2806
Total reported by the harness
none

No cost.json: computed by ingest from the token counts in meta.json x list price.

Prices: Project price table (vendor list prices), 2026-09-22.

Run notes

raw one-shot (one call, no tools, no self-review)effort high