Xiaomi: MiMo-V2-Omni

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MiMo V2 Omni is Xiaomi's omni-modal foundation model that natively processes text, image, video, and audio within a unified architecture, combining multimodal perception with agentic capabilities like visual grounding, multi-step planning, and tool use. It supports over 10 hours of continuous audio understanding and a 256K context window. It outperformed Gemini 3 Pro and GPT-5.2 on several benchmarks.

Context Window 262K

tokens

Max Output 66K

tokens

Input Cost $0.4

per million tokens

Output Cost $2

per million tokens

Release Date Mar 18, 2026

 

Output Speed 74

tokens / sec

Latency 2.11s

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>

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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.

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MiMo-V2-Flash

MiMo-V2-Flash is Xiaomi's open-source Mixture-of-Experts language model with 309B total parameters (15B active), designed for high-speed reasoning, coding, and agentic workflows. It uses a hybrid attention architecture with Multi-Token Prediction to achieve up to 150 tokens/second inference while keeping costs extremely low. The model excels at software engineering benchmarks and supports a 256K context window.

Frequently Asked Questions

How do I use MiMo-V2-Omni?

You can access MiMo-V2-Omni 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-Omni free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add MiMo-V2-Omni 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-Omni?
MiMo-V2-Omni costs $0.4 per 1M input tokens and $2 per 1M output tokens.
Price per 1M tokens
Input$0.4
Output$2
Who created MiMo-V2-Omni?

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

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

MiMo-V2-Omni supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.

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

MiMo-V2-Omni can generate up to 66K tokens in a single response.

How does MiMo-V2-Omni perform on benchmarks?

MiMo-V2-Omni scores 35.0 on the Artificial Analysis Intelligence Index, outperforming 88% of tracked models. On coding, it scores 35.5 (outperforms 79% of models).

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

Yes — the MiMo-V2-Omni 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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