MiMo V2.5 is Xiaomi's omnimodal reasoning model, balancing capability and efficiency across text, image, video, and audio understanding. The 310 billion parameter Sparse MoE design activates 15 billion parameters per token, keeping it practical for production deployment while delivering strong results on complex visual tasks. Trained on around 48 trillion tokens with hybrid sliding window and global attention, the model offers sharp perception for precise visual reasoning and chart analysis. It pairs a dedicated in-house vision encoder with an audio encoder, connected through lightweight projectors, so multimodal inputs are understood within a single unified architecture. MiMo V2.5 targets coding, daily agentic workflows, and long context reasoning. The model went through five training stages including text pre-training, multimodal pre-training, supervised fine-tuning on agentic data, and reinforcement learning with the MOPD methodology to strengthen both perception and reasoning. It is open-sourced under the MIT license with both base and instruction-tuned versions on Hugging Face, making it suitable for commercial use, continued training, and fine-tuning without additional authorization.
MiMo V2.5 runs on 2 different routes through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
MiMo V2.5 runs on 2 independently monitored routes through the qynio gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.
Each route hosting MiMo V2.5 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go β no action required. No training on customer data. US; unknown; deposit available.
Zero data retention is on by default on Pay-as-you-go β no action required. No training on customer data. US; wallets; deposit available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call MiMo V2.5 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/XiaomiMiMo/MiMo-V2.5",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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