AI Model Reviewer

Claude Fable 5.1 in Claude Code 2.1.280

skills off

← Open in the gallerySame prompt, all models

Poster frame of Claude Fable 5.1's page
Open the original page

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. It starts in its auto-tour (T switches to play mode on a keyboard).

Stopped by usGPU fluid simmax effortNeutral harness

Wall time 39m 19sCost $9.01 reported

Snapshot 10 of 10 saved during Claude Fable 5.1's run
  1. Snapshot 1 of 10 saved during Claude Fable 5.1's run
  2. Snapshot 2 of 10 saved during Claude Fable 5.1's run
  3. Snapshot 4 of 10 saved during Claude Fable 5.1's run
  4. Snapshot 5 of 10 saved during Claude Fable 5.1's run
  5. Snapshot 6 of 10 saved during Claude Fable 5.1's run
  6. Snapshot 7 of 10 saved during Claude Fable 5.1's run
  7. Snapshot 9 of 10 saved during Claude Fable 5.1's run
  8. Snapshot 10 of 10 saved during Claude Fable 5.1's run
Still snapshots saved during the run (no motion recording): 10 distinct frames.

Review

No verdict yet.

The full review

Stopped by us. Stopped by us (codespaces lane core-hour budget (60) reached; stopped by the lane, artifacts kept); not a model failure.

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, 664 characters. Every result for this prompt

Build a GPU-accelerated fluid simulation in a single HTML file using WebGL, no external libraries. Dragging the mouse or a finger should push colorful dye through the fluid, with a soft glow. Make it look stunning and run smoothly.

Build it as a self-contained index.html in the current directory, with WebGL/WebGL2 shaders you write yourself; no libraries and no CDNs; interactive with mouse or touch input. 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

Wall time 39m 19sFirst artifact at 14m 08s10 saved versions

Versions saved during the run

10 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 44 steps

Loading the timeline…

Download the full transcript Claude Code session JSONL, 492 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 $9.01, as reported by Claude Code (its own bill for the run). The list-price estimate from the token counts is $9.00.

Tokens by typeTokens$ per 1MCost
Input (uncached)872$10.00$0.0087
Cache write192,853$12.50$2.4107
Cache read2,922,598$0.25$0.7306
Output116,961$50.00$5.8480
of which reasoning70,650billed as output
Total computed from tokens
$8.9981
Total reported by the harness
$9.0131
Difference
computed $9.00 vs reported $9.01 (diff -0.02)

Claude Code 2.1.280 reported its own total; token counts x list prices shown beside it.

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

Run notes

one prompt, agentic harness (self-review allowed)labelled re-run (of gpu_fluid_sim__claude-code__fable-5-1)

  • frozen prompt (written): engine/prompts_written/gpu_fluid_sim.txt: Voxyz's own prompt verbatim (x.com/Voxyz_ai/status/2103088468762960378) + our fixed inputs (self-contained index.html, own WebGL/WebGL2 shaders, no libraries/CDNs, mouse/touch input) (supervisor 725c3fc2 05:53Z; zero results)
  • plain wave-1-equivalent cc_config copy (settings.json + .claude.json; no ECC files)
  • 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: 1M ([1m] model name)
  • Isolation audit: outside paths seen