Xiaomi: MiMo-V2.6-Flash
xiaomi/mimo-v2.6-flash
Access MiMo-V2.6-Flash from Xiaomi using the Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "xiaomi/mimo-v2.6-flash"
}).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", {
model: "xiaomi/mimo-v2.6-flash"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
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.
Context Window 1M
tokens
Max Output 131K
tokens
Input Cost $0.14
per million tokens
Output Cost $0.28
per million tokens
Release Date Sep 21, 2026
Model Playground
Try MiMo-V2.6-Flash instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Xiaomi
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.
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.
ChatMiMo-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.
Frequently Asked Questions
You can access MiMo-V2.6-Flash 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.
MiMo-V2.6-Flash is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.14 |
| Output | $0.28 |
MiMo-V2.6-Flash was created by Xiaomi and released on Sep 21, 2026.
MiMo-V2.6-Flash supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.
MiMo-V2.6-Flash can generate up to 131K tokens in a single response.
Yes — the MiMo-V2.6-Flash 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.
Add MiMo-V2.6-Flash to your app for free
Developers can integrate MiMo-V2.6-Flash for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.