AI Model Reviewer

Kimi K3 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'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 22m 00sCost $1.25 reported

Review

No verdict yet.

The full review

OK. Finished on its own after 22.0 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, 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 22m 00sFirst artifact at 14m 35s

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 45 steps

Loading the timeline…

Download the full transcript OpenCode session export, 235 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 $1.25, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $1.25.

Tokens by typeTokens$ per 1MCost
Input (uncached)114,087$3.00$0.3423
Cache write0$3.00$0
Cache read896,656$0.30$0.2690
Output42,825$15.00$0.6424
of which reasoning27,849billed as output
Total computed from tokens
$1.2536
Total reported by the harness
$1.2536
Difference
matches

OpenCode 1.18.35 reported its own total; token counts x list prices shown beside it. The harness reports reasoning tokens separately from output; here output includes them (14,976 visible + 27,849 reasoning), and both bill at the output rate.

Prices: https://platform.kimi.ai/docs/pricing/chat, 2026-09-24.

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 WebGL (WebGL2 with a WebGL1 fallback) and the page's own GLSL fragment shaders; no three.js or other library, nothing loaded from a CDN (single self-contained file).
  • Card video: none (the run has no H.264 yuv420p video.mp4 with 30+ frames under 24 MB). Poster: a headless-Chromium screenshot of the run's own index.html taken at import (the run folder has no render.png).
  • Skills on: the run had 54 skills installed (33 video + 21 web/Three.js), as its meta records.
  • Kimi K3 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.