Neonracer

What I asked each model — the Neonracer prompt

Every model on this page got this exact prompt inside the Agent Operating System: Neon Racer — fullscreen neon racer with vapor-trail particle effects.

Single HTML file out. No iteration. No examples in the system prompt. Whatever each model produced on the first run is what's on this page. 5 frontier models have attempted it so far: Fusion, Grok, Kimi K2.7, MiniMax M3, GLM-5.2.

Why this task matters. Neonracer is a textbook test of game-class capability — the kind of build that exposes whether a model is doing pattern-matching or actual reasoning. A model that ships this in one shot is usually safe to wire into your agent loop for harder tasks of the same shape.

How each model handled Neonracer

Ranked by my 0–10 score from the source comparison guides on agentos.guide. Click any to play the actual one-shot HTML the model produced.

The winner on Neonracer

Fusion took gold on this task.

What I saw: Top-down neon racer with vapor-trail particles, synthwave aesthetic, drift physics, lap timer, procedural track. 22KB.

See Fusion's full model card: /models/fusion. Direct head-to-head against the runner-up: Fusion vs Grok.

How I scored Neonracer — methodology

Three axes, 0–10 each, averaged. Runs: drop the .html in a browser; if it opens to a broken page, it scores zero. Hits the brief: did the model ship the thing the prompt asked for, or a different thing it found easier. Looks good: visual polish, motion, interactivity — where most of the gap between gold and silver lives.

My scores trace back to the source comparison guides on agentos.guide. See the full methodology page for data provenance, including which source guide each cell's score came from.

Related

More game benchmarks: all tasks in the Game category · See the best AI model for Neonracer · Back to the leaderboard