MiMo-V2.6-Flash Description
MiMo-V2.6-Flash is Xiaomi MiMo’s efficiency-focused open-source omnimodal model for coding, automation, visual work, and agentic applications. It is designed to provide a balance between model capability, inference cost, and practical performance across a broad range of workloads. The model can perform software engineering tasks, use tools, execute multi-step workflows, and interact with computer environments. Its multimodal capabilities support applications such as frontend development, presentation design, 3D content creation, game development, and visual reasoning. MiMo-V2.6 can also use multi-view visual inputs in embodied simulation environments to reason about scenes and guide actions through feedback loops. Xiaomi trained the Flash model using reinforcement learning over roughly 750,000 trajectories spanning coding, general agents, visual tasks, and cybersecurity environments. During that training process, Xiaomi reports substantial gains in long-horizon software engineering and general workflow performance compared with the model’s earlier checkpoints. The company has open-sourced the broader MiMo-V2.6 release along with its technical report, reinforcement learning environments, and RL code to support research and reproducibility. MiMo-V2.6-Flash can be accessed through MiMo Desktop, AI Studio, MiMo Code, the MiMo API Platform, OpenRouter, and Xiaomi MiMo’s open-source distribution channels.
Pricing
$0.28 per 1 million tokens output
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MiMo-V2.6-Flash Features and Options
MiMo-V2.6-Flash User Reviews
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Wildly good and efficient OSS fast model Date: Sep 23 2026
Summary: Overall, MiMo-V2.6-Flash is one of the best value models I have used for coding, multimodal work, automation, and agent workflows. It is fast, extremely inexpensive, and capable enough that I can use it for a huge percentage of my day-to-day AI work without feeling like I am making a big compromise.
Positive: What I like most is how much capability Xiaomi packed into a model this cheap. The 1M-token context window means I can use it for big repos, long documents, agent histories, and mixed-media workflows without constantly worrying about context limits. It is also genuinely useful beyond text. I can feed it images, video, audio, and text in the same workflow, which makes it a strong fit for agents, document processing, visual analysis, and automation.
Negative: The main downside is that I would still reach for MiMo-V2.6-Pro when I need maximum reasoning depth or I am working on something especially difficult or high-stakes. Flash feels more like the everyday workhorse.
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