MiMo V2.5 Pro: Open MoE Excels in Long Agentic Coding
Xiaomi's 1.02T-param MoE model (42B active) with 1M context beats DeepSeek V4 on benchmarks, sustains 1000+ tool calls coherently, uses 40-60% fewer tokens than GPT-5.4/Claude, priced at $1/M input/$3/M output.
Architecture Enables Long-Horizon Agentic Workflows
MiMo V2.5 Pro is a 1.02T-parameter Mixture of Experts (MoE) model with 42B active parameters, a 1M token context window, and hybrid attention. It sustains 1000+ tool calls while maintaining coherence, precision instruction-following, and self-correction in multi-step tasks. This makes it ideal for agentic coding and complex workflows like end-to-end app building, outperforming base models in planning persistence. The Pro variant targets software engineering; the base adds native multimodal understanding. MIT-licensed for commercial use, it prioritizes token efficiency, consuming 40-60% fewer tokens than GPT-5.4, Claude Opus 4.6, or Gemini 3.1 Pro at matching performance levels. Benchmarks show top results on SWE-Bench Pro, GPQA, and LiveCodeBench, surpassing DeepSeek V4 and rivaling closed models.
Low-Cost Access Matches Production Needs
Run MiMo V2.5 Pro free via Xiaomi AI Studio chat (aistudio.xiaomimimo.com), API at $1 per 1M input tokens/$3 per 1M output, or providers like OpenRouter and Kilo.ai (25 free credits, open-source harness). Skip local inference without multi-GPU setups; Hugging Face hosts weights. Pair with Kilo CLI for agentic tasks to generate browser-based apps in ~3 minutes.
Test Results Highlight Coding and 3D Strengths
In Kilo CLI tests, MiMo built a functional MacOS clone with SVG icons, animated terminal, apps (Finder, Safari, Messages, Notes, Maps, Photos, Music, Calculator, Calendar, Weather, Settings), Launchpad, and dynamic UI—better than Kimi K2.6 despite incomplete toolbar/system details. A one-shot Minecraft clone included walkable terrain, block breaking/placing, inventory, water, clouds, caves/ores (buggy physics). Frontend demos excelled: Slack workspace (channels/DMs, beat GLM 4.7), Amazon product page (beat GLM 5.1), SaaS landing pages with typography/layout/animations. Three.js simulations passed SUV off-road durability (loaded assets/physics, beat Gemini 3 Flash), lava lamp (fluid motion), and a 9-channel '90s TV: fireworks particles, night city/cars, ocean waves, audio visualizer, solar system, ping-pong, fractal tree, bird flock—all in one file with shaders/procedural animations. SVG generations: animated pelican-on-bike (minor leg/pedal sync issue, matched Kimi), dynamic painting (added motion), flapping butterfly (best open-source result, beat MiniMax M2.7). Lost to DeepSeek V4 on 360° product viewer functionality but won overall coherence in long tasks.