
MiMo V2.5 Pro
MiMo V2.5 Pro is Xiaomi's open-source 1.02T parameter MoE model featuring a 1M context window, native multimodality, and elite agentic coding performance.
About MiMo V2.5 Pro
Learn about MiMo V2.5 Pro's capabilities, features, and how it can help you achieve better results.
MiMo V2.5 Pro is Xiaomi's flagship open-source model. It uses a 1.02 trillion parameter Mixture-of-Experts architecture where 42 billion parameters are active during inference. The hybrid-attention design mixes Local Sliding Window Attention and Global Attention at a 6:1 ratio. This specific configuration reduces KV-cache storage requirements by nearly 7x compared to standard transformer models.
The model handles a 1-million-token context window while supporting native omnimodal inputs including text, image, audio, and video. It is optimized for long-horizon agentic tasks and autonomous tool use. Developers can run the model locally using FP8 precision weights, which balance memory usage with output throughput. The permissive MIT license allows for modification and commercial deployment without additional fees.

Use Cases
Discover the different ways you can use MiMo V2.5 Pro to achieve great results.
Autonomous Software Engineering
Resolving GitHub issues and building system components like compilers with self-correcting logic.
Long-Horizon Agent Workflows
Executing plans requiring coherence across more than 1,000 tool calls in software environments.
Native Multimodal Analysis
Directly reasoning across combined inputs of video and text without external preprocessing or frame extraction.
Large-Scale Codebase Navigation
Ingesting entire project repositories within the 1M token context window to refactor logic or find bugs.
Analog Circuit Design
Optimizing complex circuits by interacting with simulation loops to meet multi-metric specifications.
3D Web Generation
Creating sophisticated environments and physics simulations using Three.js and procedural terrain generation.
Strengths
Limitations
API Quick Start
xiaomi/mimo-v2.5-pro
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.xiaomimimo.com/v1",
apiKey: process.env.MIMO_API_KEY
});
const completion = await client.chat.completions.create({
model: "mimo-v2.5-pro",
messages: [{ role: "user", content: "Identify logic errors in this 50,000 line codebase." }],
thinking: { type: "enabled" }
});
console.log(completion.choices[0].message.content);Install the SDK and start making API calls in minutes.
Community Feedback
See what the community thinks about MiMo V2.5 Pro
“The speed-to-context ratio on MiMo-V2.5-Pro is unbeatable for RAG pipelines that need to scan entire codebases in one go.”
“China just matched USA frontier coding AI at 40-60% lower token cost. This isn't incremental; it's rewriting the game.”
“MiMo-V2.5-Pro solved problems that would take human experts weeks. It built a complete compiler in just over 4 hours.”
“The model's value isn't just in benchmarks, but in its ability to sustain complex agent workflows without breaking.”
“The speed is actually decent for a 1T model. The MoE routing is doing a lot of heavy lifting here.”
“Finally an MIT licensed model that actually competes with the closed giants. Local deployment is the next hurdle.”
Related Videos
Watch tutorials, reviews, and discussions about MiMo V2.5 Pro
“I've never seen that level of detail in a result... look at the individual wood panel floors.”
“The model is highly confident and effective when you feed it specific technical error messages.”
“It handles the entire codebase context without the usual middle-of-the-document loss.”
“The thinking process is transparent, showing exactly how it evaluates various tool options.”
“This model outperforms its predecessors in strict instruction following for JSON outputs.”
“It's designed to handle complex multi-step workflows, sustaining thousands of tool calls.”
“It is using 40 to 60% fewer tokens than models like GPT-5.4 or Claude Opus 4.6 at similar performance.”
“Xiaomi just shocked the open-source AI space with this release.”
“The native multimodality means it doesn't need a separate vision encoder for video.”
“You can effectively build a whole OS component by providing the right environment hooks.”
“Mimo came out to undercut everyone... the first month of the coding plan is only six dollars.”
“Benchmarks only tell part of the story; I want them to be actual builders and put the roof on properly.”
“It is much more stable than the earlier V2 release when handling long reasoning chains.”
“The pricing on their native API is aggressive, likely to capture the developer market.”
“It struggles slightly with very high-frequency audio but handles conversational speech perfectly.”
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Pro Tips
Expert tips to help you get the most out of MiMo V2.5 Pro and achieve better results.
Manage Chain-of-Thought Latency
Add 'don't overthink' to your prompt to reduce reasoning latency for simple technical queries.
Preserve Reasoning Content
Pass back the previous reasoning_content in multi-turn conversations to maintain agentic performance.
Define Environment Affordances
Specify tool environment capabilities clearly as the model is optimized for harness awareness.
Optimize Local Deployment
Use FP8 mixed precision weights to balance memory efficiency with high output throughput.
Testimonials
What Our Users Say
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Frequently Asked Questions
Find answers to common questions about MiMo V2.5 Pro