# Xiaomi's MiMo V2.6-Pro-RL Targets Agentic Multimodal Work

> An RL-tuned model that reads images, audio, and video while handling long context, aimed at agentic tasks.

Published by The Open Weights on Sep 21, 2026. Canonical: https://theopenweights.com/news/mimo-v2-6-pro-rl-eglk

## Key facts

- Company: Xiaomi
- Model: MiMo-V2.6-Pro-RL
- Version: V2.6-Pro-RL
- Category: Vision-Language
- Modalities: Vision-Language, Text / LLM, Reasoning
- License: Other (Open weights, commercial use allowed)
- Context window: 1.0M tokens
- Architecture: MiMoV2ForCausalLM
- Precision: INT8
- Weights size: 1034.9 GB
- Significance: notable
- Published: 2026-09-21
- Last verified: 2026-10-05
- Hugging Face: https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL
- Canonical URL: https://theopenweights.com/news/mimo-v2-6-pro-rl-eglk

Xiaomi has released [MiMo-V2.6-Pro-RL](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL), a multimodal model tuned with reinforcement learning and positioned for agentic tasks. According to the model's Hugging Face page, it combines vision-language capabilities with audio and video understanding, plus support for long-context inputs.

The "RL" in the name points to reinforcement learning as part of the post-training recipe, an increasingly common approach for sharpening reasoning and tool-use behavior. Xiaomi frames the model as agentic, suggesting it is built to plan and act across multi-step workflows rather than simply answer one-off prompts.

## Why it matters

MiMo has been Xiaomi's push into capable open-weight models, and a multimodal, RL-tuned entry signals the company wants to compete on the same terrain as other labs chasing agents that can see, hear, and reason. Bundling vision, audio, and video into a single reasoning-oriented model is a meaningful bet on unified perception.

A few things to keep in mind:

- Parameter count, context length, and detailed specs were not disclosed in the release record.
- The model ships under a non-standard "other" license, so teams should read the terms before deploying commercially.
- Independent benchmarks aren't yet available to verify the agentic and multimodal claims.

For developers, the immediate value is a fresh open-weight option for multimodal experiments; the open question is how it stacks up against established VLMs once the community puts it through real testing.

## Get the model

- [Hugging Face](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL)

## Sources

- [XiaomiMiMo/MiMo-V2.6-Pro-RL](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL) — Hugging Face, Sep 21, 2026

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "Xiaomi's MiMo V2.6-Pro-RL Targets Agentic Multimodal Work", The Open Weights, Sep 21, 2026, https://theopenweights.com/news/mimo-v2-6-pro-rl-eglk