Xiaomi: MiMo-V2-Flash
xiaomi/mimo-v2-flash
Access MiMo-V2-Flash from Xiaomi using 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-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-flash"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="xiaomi/mimo-v2-flash",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "xiaomi/mimo-v2-flash",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
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.
Context Window 262K
tokens
Max Output 66K
tokens
Input Cost $0.09
per million tokens
Output Cost $0.29
per million tokens
Release Date Jul 17, 2025
Output Speed 133
tokens / sec
Latency 1.53s
time to first token
Model Playground
Try MiMo-V2-Flash instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How MiMo-V2-Flash performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 65.6% |
| Humanity's Last Exam Cross-domain reasoning | 8.0% |
| LiveCodeBench Recent coding problems | 40.2% |
| SciCode Scientific programming | 25.9% |
| AIME 2025 Advanced math exam | 67.7% |
| IFBench Instruction following | 39.9% |
| LCR Long-context reasoning | 31.3% |
| Terminal-Bench Hard Agentic terminal tasks | 25.8% |
| τ²-Bench Tool use / agents | 83.9% |
Scores sourced from Artificial Analysis.
Find other Xiaomi models →
MiMo-V2-Omni
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.
ChatMiMo-V2-Pro
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.
Frequently Asked Questions
You can access MiMo-V2-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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add MiMo-V2-Flash to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.09 |
| Output | $0.29 |
MiMo-V2-Flash was created by Xiaomi and released on Jul 17, 2025.
MiMo-V2-Flash supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
MiMo-V2-Flash can generate up to 66K tokens in a single response.
Yes — the MiMo-V2-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.
Get started with Puter.js
Add MiMo-V2-Flash to your app without worrying about API keys or setup.
Read the Docs View Tutorials