MiMo-V2.6-Pro Description
MiMo-V2.6-Pro is an open-source, natively omnimodal AI model from Xiaomi MiMo designed for coding, agentic workflows, visual creation, research, and computer-based tasks. It is the highest-capability model in the MiMo-V2.6 series and was trained using a large-scale reinforcement learning process focused on verifiable, complex tasks. The model can handle software engineering, automation, tool use, visual reasoning, and long-running agent workflows across multiple environments. Its multimodal capabilities extend beyond traditional coding into 3D scene generation, Blender modeling, embodied simulation, frontend development, presentation design, video creation, and music composition. MiMo-V2.6-Pro can take text, images, video, and other visual inputs and coordinate multi-agent workflows to produce and iteratively refine complex outputs. Research applications demonstrated by Xiaomi include materials discovery, literature analysis, computational simulation, hypothesis generation, and formalizing mathematical proofs in Lean. Xiaomi has released the model alongside its technical report, reinforcement learning environments, and RL code so researchers can study and reproduce the training approach. MiMo-V2.6-Pro is also available in an UltraSpeed configuration that provides substantially faster output for latency-sensitive workflows. Users can access the model through MiMo Desktop, AI Studio, MiMo Code, the MiMo API Platform, OpenRouter, and Hugging Face.
Pricing
$0.87 per 1 million tokens output
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MiMo-V2.6-Pro Features and Options
MiMo-V2.6-Pro User Reviews
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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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