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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

 

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

Find other Xiaomi models →

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MiMo-V2.6-Flash

MiMo-V2.6-Flash is Xiaomi's cost-efficient omnimodal model in the MiMo-V2.6 series, a sparse Mixture-of-Experts model with 309B total parameters (15B active) that processes text, image, video, and audio in a single architecture with a 1M-token context window. It uses a hybrid attention design that interleaves sliding-window and global attention with a lightweight Multi-Token Prediction module, and scores 87.6 on Terminal-Bench 2.1 and 95.1 on CyberGym, staying close to its larger sibling MiMo-V2.6-Pro on several agent benchmarks despite the lower price. Priced at $0.14 per million input tokens and $0.28 per million output tokens, MiMo-V2.6-Flash fits agent pipelines that need multimodal input and long context without paying flagship rates.

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MiMo-V2.6-Pro

MiMo-V2.6-Pro is Xiaomi's flagship model in the MiMo-V2.6 series, a sparse Mixture-of-Experts model with 1.02 trillion total parameters (42B active) and a 1M-token context window, built for long-horizon agentic work across coding, tool use, and multimodal reasoning. It scored 46 on the Artificial Analysis Intelligence Index, the highest reported for an open-weight model at release, and reaches 89.9 on Terminal-Bench 2.1 and 94.0 on CyberGym. Artificial Analysis measured its cost per index task at $0.13, against $5.86 for Claude Opus 5. Priced at $0.44 per million input tokens and $0.87 per million output tokens, MiMo-V2.6-Pro targets developers who want agentic performance close to frontier proprietary models at a fraction of the cost.

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MiMo-V2.6-Pro-UltraSpeed

MiMo-V2.6-Pro-UltraSpeed is a latency-optimized serving variant of MiMo-V2.6-Pro, built from the same 1.02-trillion-parameter checkpoint and the same 1M-token context window, tuned for response speed rather than lowest cost per token. Xiaomi describes it as running MiMo-V2.6-Pro at up to 20x faster output, with early third-party measurements putting the gain closer to 10x throughput. Because it shares Pro's weights, its accuracy and benchmark scores track the base model; only the serving path changes. Priced at $4.35 per million input tokens and $8.70 per million output tokens, roughly ten times standard Pro pricing, MiMo-V2.6-Pro-UltraSpeed is meant for latency-sensitive agent and chat applications, not cost-sensitive batch workloads.

Frequently Asked Questions

How do I use MiMo-V2-Pro?

MiMo-V2-Pro is no longer available through Puter.js. Explore other AI models for alternatives.

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.

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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