Le Chonk enters the Frontier race 🐈 We put @MistralAI Large 4, MiMo V2.6 Pro, Opus 5.5 and GPT-6.1 Sol side by side with voxel, ASCII, Blender and SVG remakes of the launch clip Run AI models locally and via API -> atomic.chat

Run decision models with our llama.cpp engine ⚙️ We're bringing support for over 10 System One models into Atomic Chat, now your device makes choices 10.43x faster than Jev's API utilising only the CPU Run decision models locally -> atomic.chat

GPT 6.1 Sol 30x cheaper than Sonnet 5.5 at 3D ⚙️ openAI just dropped GPT 6.1 Sol, we put it up against Sonnet 5.5 and made them create a 3D keyboard assembly video in @threejs Run both models via sub -> atomic.chat

Space Bunny Alpha mogged by DeepSeek V4.1 Flash 🐳 We asked both to build Minecraft in one HTML file and DeepSeek V4.1 Flash made a forest biome you can walk and dig in while Space Bunny Alpha's ground has holes showing the sky Run AI models locally -> atomic.chat

Opus 5.5 destroyed GPT 6 Sol at Blender 3D Pelican 🦩 Both frontier models dropped today so we gave them the same brief to animate a looping 3D pelican on a bicycle in Blender and Opus 5.5 came back with the more charming ride Run both models via API -> atomic.chat

Local Laya moggs Jev at @grok 4.7-built Tetris 🧩 An open-weights System One model called Laya, beat cloud-based Jev at playing Tetris by making decisions 11 times faster, running locally on a 16GB MacBook Air! Run AI models locally -> atomic.chat

DeepSeek V4.1 Flash made DOOM in Atomic Chat 🐳 @deepseek_ai dropped a new architecture for the flash model so we tested it by making Doom in an html file and it built a real raycasting shooter with gun mechanics and enemy waves Run AI models locally -> atomic.chat

New Fable 5.1 absolutely crushed Fable 5 at making a racing game👾🔥 @claudeai just dropped Fable 5.1, so we gave both models the same prompt to build a playable racing game from scratch in Godot with BlenderMCP Tasks: - Make car and environment models using BlenderMCP - A big map for long driving sessions - Realistic car handling - Simple HUD for speed and controls Outputs: Fable 5.1: 1.2M tokens, 123.98$, 59.8 minutes Fable 5: 897K tokens, 95.87, 57.3 minutes Fable 5.1's models are far more detailed and the game runs smooth, the world feels alive while you drive. Fable 5 finished all three tasks and its HUD and controls work, but its models are plain and the game feels stiff

Run OpenClaw 2.0 through Atomic Chat local LLM server on a 16GB MacBook 💻🦞 We gave OpenClaw a task to edit a video using Gemma 4 E4B, it successfully created a welcome video in two minutes by writing custom React code Load the model in atomic.chat, start the LLM server and OpenClaw 2.0 picks it right up

Open-weight Qwen 3.8 2.4T built a Call of Duty clone in one prompt 🪖 @Alibaba_Qwen released the 2.4T Max weights, so we rented a B200 cluster and asked the model to make a Call of Duty clone Output: ~1.1M tokens · 5 hours · one prompt Almost no one can run 2.4T at home, luckily there is a 27B version that runs on a 16GB MacBook Air with our Atomic Dynamic quants

New Muse Glimmer 30B destroyed Gemma 4 31B at making retro arcade games! We gave three models the same task and compared one-shot outputs. Muse Glimmer 30B, Gemma 4 31B and Qwen3.6 27B each ran locally on its own RTX 5090 with 32GB VRAM Tasks: - Space Invaders - Tetris - Arkanoid with multiball Outputs: Muse Glimmer 30B: 83.4K tokens, 17.7 min Qwen3.6 27B: 23.7K tokens, 5.4 min Gemma 4 31B: 17.8K tokens, 4.5 min Glimmer's games play like the originals. The alien fleet speeds up with every kill, the blocks lock and lines clear, the bricks break. Nothing froze or crashed. Gemma broke on Tetris, its bot piles every piece against the left wall until the stack hits the ceiling with half the well empty. Qwen finished all three but some of its Arkanoid balls phase straight through the paddle. Run Muse Glimmer yourself in Atomic Chat from day 0!