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Productivity / product dossier

MiMo-V2.6

Open omnimodal models with 1M context, plus training code, RL environments and a technical report.

Product brief

What MiMo-V2.6 does.

MiMo-V2.6 is Xiaomi’s open omnimodal model family for long-horizon agent work. Pro and Flash handle text, images, audio and video with 1M context, while Xiaomi is also releasing the technical report, RL environments and training code behind the public post-training run.

Why we selected it

A technically substantive open model release: omnimodal, 1M-context models accompanied by training code, RL environments, and a technical report. It is especially relevant amid current interest in systems for long-horizo

Best for
Open models
Category
Productivity
Daily picks
1
First selected
2026-09-22
MiMo-V2.6 product preview

Product preview saved with our daily selection

Capability scan

What it can help with.

Only capabilities supported by the product information we collected are listed here.

01

Process multiple modalities

The Pro and Flash models handle text, images, audio, and video.

02

Support long-context work

The models are described as having a 1M context window for long-horizon agent work.

03

Provide public training materials

Xiaomi is releasing a technical report, RL environments, and training code behind its public post-training run.

Best-fit use cases

Build or evaluate agents that need to work across text, images, audio, and video.
Study the materials behind Xiaomi's public post-training run.
Explore long-horizon agent workflows using models with a stated 1M context window.

FAQ

Before you open it.

What is MiMo-V2.6?

MiMo-V2.6 is Xiaomi's open omnimodal model family for long-horizon agent work.

Which input types do the Pro and Flash models handle?

They handle text, images, audio, and video.

What context length is stated for MiMo-V2.6?

The description states that Pro and Flash have 1M context.

What is being released alongside the models?

Xiaomi is releasing a technical report, RL environments, and training code for the public post-training run.

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