Xiaomi: MiMo-V2-Pro

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MiMo V2 Pro is Xiaomi's flagship text-only reasoning model built for the 'agent era,' featuring over 1T total parameters (42B active) with a 1M-token context window, deeply optimized for agentic workflows like coding, tool calling, and task orchestration. Previously tested anonymously as 'Hunter Alpha' on OpenRouter where it topped daily API call charts, it ranks 8th globally and 2nd among Chinese LLMs on the Artificial Analysis Intelligence Index. Its agent performance approaches Claude Opus 4.6 at roughly one-fifth the cost.

Context Window 1M

tokens

Max Output 131K

tokens

Input Cost $1

per million tokens

Output Cost $3

per million tokens

Release Date Mar 18, 2026

 

Output Speed 35

tokens / sec

Latency 2.02s

time to first token

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

More AI Models From Xiaomi

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MiMo-V2.5

MiMo V2.5 is a native omnimodal model from Xiaomi that processes text, images, video, and audio within a single architecture and a 1M-token context window. It delivers agentic performance close to its larger sibling, MiMo V2.5 Pro, at roughly half the token cost — scoring 62.3 on ClawEval (general) and 23.8 on ClawEval Multimodal. On video understanding, it reaches 87.7 on Video-MME, competitive with Gemini 3 Pro. Image understanding benchmarks include 81.0 on CharXiv RQ and 77.9 on MMMU-Pro. Priced at $0.40 per million input tokens and $2.00 per million output tokens, MiMo V2.5 is a strong fit for production agent pipelines where you need multimodal perception and reasoning without flagship-tier cost.

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MiMo-V2.5-Pro

MiMo V2.5 Pro is Xiaomi's most capable model, built for complex software engineering, long-horizon agentic tasks, and autonomous multi-step workflows spanning over a thousand tool calls. It scores 57.2 on SWE-bench Pro, 63.8 on ClawEval, and 72.9 on τ3-Bench — placing it alongside Claude Opus 4.6 and GPT-5.4 across most agentic evaluations. Notably, it achieves this while using roughly 40–60% fewer tokens per trajectory than comparable frontier models. The 1M-token context window and 131K max output support entire codebases and extended autonomous sessions. Priced at $1.00 per million input tokens and $3.00 per million output tokens, MiMo V2.5 Pro targets developers building autonomous agents, code-generation pipelines, and complex tool-use workflows where sustained coherence over long contexts is critical.

Frequently Asked Questions

How do I use MiMo-V2-Pro?

You can access MiMo-V2-Pro by Xiaomi through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is MiMo-V2-Pro free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add MiMo-V2-Pro to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for MiMo-V2-Pro?
MiMo-V2-Pro costs $1 per 1M input tokens and $3 per 1M output tokens.
Price per 1M tokens
Input$1
Output$3
Who created MiMo-V2-Pro?

MiMo-V2-Pro was created by Xiaomi and released on Mar 18, 2026.

What is the context window of MiMo-V2-Pro?

MiMo-V2-Pro supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.

What is the max output length of MiMo-V2-Pro?

MiMo-V2-Pro can generate up to 131K tokens in a single response.

How does MiMo-V2-Pro perform on benchmarks?

MiMo-V2-Pro scores 40.3 on the Artificial Analysis Intelligence Index, outperforming 94% of tracked models. On coding, it scores 41.4 (outperforms 88% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the MiMo-V2-Pro API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

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