GitHub radar
MiMo-V2.6-Pro-RL: what the new model can do and how to try it
This is the third and largest model in Xiaomi's MiMo V2.6 line, released within a single week. It won't run on your computer, but by asking an AI agent you can learn what it can do and look for a way to try it.
It's a huge AI model that acts like an agent: writes and fixes code, works in a terminal, and reads screenshots of interfaces.
When it helps
Useful if you want to gauge how far agentic AI models have come, or you're looking for a cloud way to try one; not meant to run on your own computer.
Pros
- Sharp jump on agentic benchmarks compared to the line's previous version
- Fixes real bugs in actual code, not just suggestions
- Understands interface screenshots, not just text commands
Cons
- Needs a data center — can't run locally, even compressed it's ~615GB
- Unclear yet whether an API is open for access
How to set it up — step by step
- 1Open your AI agent (Claude Code, Codex) inside your project folder.
- 2Send the agent this request: "Open the model card at https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL and find out what's new in its agentic and coding tasks — and whether there's a way to try it via an API or cloud service, since you can't run it locally."
- 3Read the agent's answer and note which tasks the model now handles better than the previous version.
- 4Check whether the agent found a working API or cloud access to the model.
- 5If there's no access yet, just note the capability jump — it shows where agentic models are heading.
Text for your agent
Copy this and send it to your agent — Claude Code, Codex, any of them:
Open the model card at https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL and break down what it can newly do on agent and coding tasks — and check whether there is a way to try it through an API or cloud service, since it cannot be installed locally.
This is a server-only model — 1.02 trillion parameters, you cannot run it at home. Even a compressed version would take about 615 GB.
Open on Hugging Face▌ More finds