Xiaomi's AI now rivals Claude and GPT — for 5x less
Xiaomi launched MiMo-V2-Pro, a trillion-parameter AI model ranked 8th globally that approaches Claude Opus performance — at one-fifth the cost.
Xiaomi — the company most people know for smartphones — just launched an AI model that competes head-to-head with Claude Opus 4.6 and GPT-5.2. And it costs a fraction of the price.
MiMo-V2-Pro is a trillion-parameter model with 42 billion active parameters, a 1-million-token context window (roughly 750,000 words), and benchmark scores that place it 8th globally and 2nd among all Chinese AI models on the Artificial Analysis Intelligence Index.
A phone maker beating AI giants at coding
Xiaomi claims MiMo-V2-Pro's coding ability surpasses Claude 4.6 Sonnet, one of the most popular models for software development. On SWE-bench Verified (a standard test where AI tries to fix real bugs in open-source projects), MiMo scores 78.0 — compared to Claude Sonnet's 79.6 and Claude Opus's 80.8.
That's not just close — it's within striking distance of the most expensive models from Anthropic and OpenAI. And it gets there at a fraction of the price:
Price per million tokens (input / output)
MiMo-V2-Pro: $1 input / $3 output
Claude Sonnet 4.6: $3 input / $15 output
Claude Opus 4.6: $5 input / $25 output
MiMo is 5x cheaper on input and 5–8x cheaper on output than Claude Opus.
How it stacks up on benchmarks
Here's how MiMo-V2-Pro compares to the biggest names in AI across key tasks:
PinchBench (general agent tasks): MiMo 84.0 vs Claude Opus 86.3 vs GPT-5.2 77.0
ClawEval (coding agent evaluation): MiMo 61.5 vs Claude Opus 66.3 vs GPT-5.2 50.0
SWE-bench Verified (real bug fixing): MiMo 78.0 vs Claude Opus 80.8 vs GPT-5.2 80.0
Terminal-Bench 2.0 (terminal operations): MiMo 57.1 vs Claude Opus 65.4 vs GPT-5.2 54.0
MiMo-V2-Pro beats GPT-5.2 on most benchmarks and consistently trails Claude Opus by only a few points — impressive for a model that costs 5–8x less.
Built for AI agents, not just chat
Unlike most chatbot-first models, MiMo-V2-Pro was specifically designed for agentic workflows — meaning it's optimized for AI that takes actions (browsing the web, writing code, managing files) rather than just answering questions.
The model uses a Hybrid Attention architecture with a 7:1 ratio that helps it process its massive 1-million-token context window efficiently. It also includes a Multi-Token Prediction layer that generates text faster by predicting multiple words at once.
Xiaomi says an early test version (codenamed "Hunter Alpha") already surpassed 1 trillion tokens in usage on OpenRouter, a popular platform for accessing AI models.
The full MiMo family
MiMo-V2-Pro isn't alone. Xiaomi launched a complete AI product lineup:
MiMo-V2-Pro — The flagship model for coding and complex agent tasks
MiMo-V2-Omni — Multimodal model that can see, hear, and act
MiMo-V2-TTS — Text-to-speech for giving AI agents a natural voice
MiMo-V2-Flash — Smaller, faster model for quick responses
Who should pay attention
If you're a developer paying for Claude or GPT API access, MiMo-V2-Pro could dramatically cut your costs while delivering competitive results. At $1 per million input tokens vs Claude Opus's $5, that's an 80% savings.
If you're building AI-powered tools, the agentic focus means MiMo-V2-Pro is purpose-built for tasks like automated coding, web browsing, and workflow orchestration.
If you're watching the AI race, this is a signal that the gap between frontier labs (Anthropic, OpenAI, Google) and challenger companies is shrinking fast. A phone maker is now within a few percentage points of the best models in the world.
Try it yourself
MiMo-V2-Pro is available now through Xiaomi's API and integrates with tools like OpenClaw, OpenCode, KiloCode, and Cline. New developers get one week of free API access.
# Access via the MiMo API
curl https://api.mimo.xiaomi.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "mimo-v2-pro", "messages": [{"role": "user", "content": "Hello"}]}'
Visit mimo.xiaomi.com for the full documentation and API access.
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