Xiaomi: MiMo-V2.5-Pro
xiaomi/mimo-v2.5-pro
Access MiMo-V2.5-Pro 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-v2.5-pro"
}).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-v2.5-pro"
}).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-v2.5-pro",
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-v2.5-pro",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
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.
Context Window 1M
tokens
Max Output 131K
tokens
Input Cost $1
per million tokens
Output Cost $3
per million tokens
Release Date Apr 22, 2026
Output Speed 56
tokens / sec
Latency 1.95s
time to first token
Model Playground
Try MiMo-V2.5-Pro instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How MiMo-V2.5-Pro performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 86.6% |
| Humanity's Last Exam Cross-domain reasoning | 33.8% |
| SciCode Scientific programming | 50.2% |
| IFBench Instruction following | 79.9% |
| LCR Long-context reasoning | 73.3% |
| Terminal-Bench Hard Agentic terminal tasks | 43.2% |
| τ²-Bench Tool use / agents | 94.2% |
Scores sourced from Artificial Analysis.
Find other Xiaomi models →
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.
ChatMiMo-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-V2.5-Pro 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-V2.5-Pro 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 | $1 |
| Output | $3 |
MiMo-V2.5-Pro was created by Xiaomi and released on Apr 22, 2026.
MiMo-V2.5-Pro supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.
MiMo-V2.5-Pro can generate up to 131K tokens in a single response.
Yes — the MiMo-V2.5-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.
Get started with Puter.js
Add MiMo-V2.5-Pro to your app without worrying about API keys or setup.
Read the Docs View Tutorials