MiMo-V2.6-Pro

Pros: 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.

Cons: 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.

Overall: 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.