Matrixrain
Matrixrain — auto-discovered task.
What I asked each model — the Matrixrain prompt
Every model on this page got this exact prompt inside the Agent Operating System: Matrixrain — auto-discovered task.
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. 9 frontier models have attempted it so far: Gemini 3.6 Flash, GPT-5.6 Sol, Inkling, Kimi K3, Muse Spark 1.2, Claude Opus 5, Qwen 3.8, DeepSeek V4 Pro, DeepSeek V4 Flash.
Why this task matters. Matrixrain is a textbook test of other-class capability — the kind of build that exposes whether a model is doing pattern-matching or actual reasoning. Shipping this cleanly is the floor for what I expect from a frontier model — every model on the leaderboard should at least attempt it.
How each model handled Matrixrain
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.
What I saw: Strong 3D instanced matrix rain with convincing depth, glowing heads, katakana glyphs, CRT scanlines/vignette, theme switcher and view modes — visually the best-tier entry; only concern is the FPS counter reading 1, hinting at performance issues, which just keeps it under the 8.5 winner bar.
What I saw: Strong classic matrix rain with authentic katakana glyphs, bright white leaders, tasteful pink accent streams, and clean neon HUD (title, status, hint, live counters) — the subtle grid and glow add polish while interactivity (bend/pulse) elevates it well above the field's best.
What I saw: Strong glowing Orbitron title and a legible 3D perspective character field with good fog/depth make it polished and clearly on-brief, but the falling glyphs read as sparse scattered planes rather than dense classic Matrix columns, and much of the frame is empty black — solid and shippable but not quite the field's best.
What I saw: Renders beautifully with dense katakana streams, glowing heads, mid-trail glyphs, a clean flickering title and CRT scanline/vignette overlay; strong extras like 6 themes, speed control, pause overlay, and mouse-disturb interaction push it above the field's best.
What I saw: Strong 3D take on matrix rain with real depth, parallax columns, glowing floor grid and a polished glassmorphic control panel — head glyphs and trails read well; slightly weakened by the plain green monolith obscuring center streams and a somewhat overpowering floor glow, but overall a shippable, near-best entry.
What I saw: Strong authentic Matrix aesthetic with katakana glyphs, glowing heads, a gorgeous purple shockwave ripple, and a rich HUD/control bar plus multiple color modes and word-burst features. The stream looks a touch sparse in this frame (density feels low), which keeps it just shy of the field's best.
What I saw: Strong Katakana rain with convincing depth layers, bright leaders, red anomalies and a visible click-shockwave rippling through the glyphs, all wrapped in a polished CRT HUD with themes, decoding tagline and live stats. Minor generic-topic ceiling, but the parallax, shockwave interaction and typography push it above the field's best.
Demo on the bench. Not scored yet — play it and form your own opinion.
Demo on the bench. Not scored yet — play it and form your own opinion.
The winner on Matrixrain
GPT-5.6 Sol took gold on this task. Polished matrix rain.
What I saw: Strong classic matrix rain with authentic katakana glyphs, bright white leaders, tasteful pink accent streams, and clean neon HUD (title, status, hint, live counters) — the subtle grid and glow add polish while interactivity (bend/pulse) elevates it well above the field's best.
See GPT-5.6 Sol's full model card: /models/gpt56. Direct head-to-head against the runner-up: GPT-5.6 Sol vs Kimi K3.
Every attempt — live, playable
Side by side. Click any tile to run that model's actual one-shot HTML in a new tab.
▶ LIVE
▶ LIVE
▶ LIVE
▶ LIVE
▶ LIVE
▶ LIVE
▶ LIVE
▶ LIVE
▶ LIVEHow I scored Matrixrain — 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 other benchmarks: all tasks in the Other category · See the best AI model for Matrixrain · Back to the leaderboard
Run this stack yourself.
Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 4,000+ founders shipping with it every day all live inside the AI Profit Boardroom.