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
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
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.
ChatMiMo-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.
ChatMiMo-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
MiMo-V2-Omni is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0.4 |
| Output | $2 |
MiMo-V2-Omni was created by Xiaomi and released on Mar 18, 2026.
MiMo-V2-Omni supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
MiMo-V2-Omni can generate up to 66K tokens in a single response.
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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