AI Model Reviewer

Kimi K3 (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 · 0 of 54 installed skills used in the session

← Open in the gallerySame prompt, all models

Zoom, inline player and more ways to view
Poster frame of Kimi K3 (fast router)'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).

OKGPU fluid simn/a effortNeutral harness

Wall time 16m 15sCost $1.86 reported

Review

No verdict yet.

The full review

OK. Harness exited after 16.3 min with the artifact written (final log event not seen).

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
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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, 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 16m 15sFirst artifact at 5m 10s10 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 70 steps

Loading the timeline…

Download the full transcript OpenCode session export, 269 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 $1.86, as reported by OpenCode (its own bill for the run).

Tokens by typeTokens$ per 1MCost
Input (uncached)62,114n/an/a
Cache write0n/an/a
Cache read1,541,093n/an/a
Output39,630n/an/a
Total computed from tokens
unknown
Total reported by the harness
$1.8647

OpenCode 1.18.35 reported its own total; token counts x list prices shown beside it. No list price for kimi-k3-fast in config/prices.json; no estimate computed. The harness reports reasoning tokens separately from output; here output includes them (16,293 visible + 23,337 reasoning), and both bill at the output rate.

Run notes

one prompt, agentic harness (self-review allowed)skills=on

  • frozen prompt (written): core requirements sha256 0265cf083796, full harness prompt sha256 0265cf083796; exact prompt text used by the existing harness rows of this test on the runs branch (copied from gpu_fluid_sim__claude-code__fable-5-1__attempt1/meta.json, sha256 verified); Beta half of the MR matrix
  • 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
  • Renderer: raw WebGL2 with the page's own shaders, no 3D library (read from the run's own 001_20261009T004520Z.html, 002_20261009T004630Z.html, 003_20261009T004635Z.html, 004_20261009T004705Z.html).
  • Card video: none (the run has no H.264 yuv420p video.mp4 with 30+ frames under 24 MB). Poster: the run's own render.png.
  • Skills on: the run had 54 skills installed (33 video + 21 web/Three.js), as its meta records.
  • Kimi K3 Fast is a fast-serving router over the kimi-k3 weights (Fireworks router accounts/fireworks/routers/kimi-k3-fast; responses report kimi-k3), not separate weights
  • Kimi K3 (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.