What is MiMo-V2.6-Pro?

MiMo-V2.6-Pro is Xiaomi MiMo’s flagship open-source omnimodal model for software engineering, agentic automation, multimodal reasoning, visual design, research, and creative production. The model was developed through large-scale reinforcement learning on heterogeneous tasks spanning coding, general agents, visual workflows, and cybersecurity. Xiaomi trained MiMo-V2.6-Pro across roughly 750,000 trajectories using large asynchronous batches, long-context training, multi-task environments, and expanded grader compute. The resulting model is designed to plan, execute, verify, and refine complex work across multiple tools and interaction environments. In software development, MiMo-V2.6-Pro supports long-horizon coding, terminal work, automation, debugging, and other agent-driven engineering tasks. Its multimodal capabilities allow it to generate interactive 3D worlds, create Blender assets from text or reference images, and control simulated robotic systems using continuous visual feedback. The model can also build frontend interfaces, design slide decks, work with Figma and media-generation tools, and automate portions of video production from concept through editing and narration. Creative capabilities extend to music composition, including generating arrangements, musical scores, and MIDI output. For research, MiMo-V2.6-Pro has been demonstrated performing literature searches, generating scientific hypotheses, running computational tools, screening materials, and assisting with formal mathematical proofs. Xiaomi has open-sourced the model family together with its technical report, reinforcement learning environments, and training code to support reproducibility and further research. MiMo-V2.6-Pro is available through Xiaomi MiMo’s desktop and developer products, OpenRouter, Hugging Face, and an API, with an UltraSpeed version offered for workflows that require much faster generation.

Pricing

Price Starts At:
Free
Price Overview:
$0.435 per 1 million tokens input
$0.87 per 1 million tokens output
Free Version:
Free Version available.

Integrations

Offers API?:
Yes, MiMo-V2.6-Pro provides an API

Screenshots and Video

MiMo-V2.6-Pro Screenshot 1

Company Facts

Company Name:
Xiaomi Technology
Date Founded:
2010
Company Location:
China
Company Website:
mimo.xiaomi.com

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

MiMo-V2.6-Pro Categories and Features

MiMo-V2.6-Pro Customer Reviews

Write a Review
  • Reviewer Name: A Verified Reviewer
    Position: Software Engineer
    Has used product for: Less than 6 months
    Uses the product: Daily
    Org Size (# of Employees): 500 - 999
    Feature Set
    Cost
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Frontier open source model

    Date: Sep 23 2026
    Summary

    Overall, MiMo-V2.6-Pro has been most useful for coding, deep research, long-running agents, and projects where I need the model to hold onto a lot of context without losing the thread. The combination of strong reasoning, huge context, multimodal input, and very low pricing makes it one of the more interesting models I have used recently.

    Positive

    What impressed me most is how comfortable it feels with really large, messy tasks. The 1M-token context window is genuinely useful when I am working across a big repo, long documentation, research material, or an agent session with a lot of tool history. The multimodal support is another big win. Being able to feed it text, screenshots, video, and audio makes it useful for much more than coding alone. Xiaomi is clearly aiming for a model that can sit at the center of a full agent workflow instead of just answering prompts. I also like the pricing a lot. Xiaomi lists API pricing at $0.435 per million uncached input tokens and $0.87 per million output tokens, which is extremely aggressive for a model in this capability tier.

    Negative

    The main downside is that it can be more model than I need for simple tasks. For quick edits or lightweight automation, I would probably use MiMo-V2.6-Flash instead and save Pro for the harder work.

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