MiMo-V2.6-Flash

MiMo-V2.6-Flash

Xiaomi Technology
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About

We introduce the Granite series of decoder-only code models for code generative tasks (e.g., fixing bugs, explaining code, documenting code), trained with code written in 116 programming languages. A comprehensive evaluation of the Granite Code model family on diverse tasks demonstrates that our models consistently reach state-of-the-art performance among available open source code LLMs. The key advantages of Granite Code models include: All-rounder Code LLM: Granite Code models achieve competitive or state-of-the-art performance on different kinds of code-related tasks, including code generation, explanation, fixing, editing, translation, and more. Demonstrating their ability to solve diverse coding tasks. Trustworthy Enterprise-Grade LLM: All our models are trained on license-permissible data collected following IBM's AI Ethics principles and guided by IBM’s Corporate Legal team for trustworthy enterprise usage.

About

MiMo-V2.6-Flash is an open-source, natively omnimodal AI model from Xiaomi MiMo designed to balance intelligence, efficiency, and cost. The model supports coding, general agent workflows, visual reasoning, computer use, automation, and multimodal creative tasks. Its capabilities extend beyond software engineering into frontend design, presentation creation, 3D modeling, interactive world generation, video production, and embodied simulation. Xiaomi trained MiMo-V2.6-Flash with large-scale reinforcement learning across coding, general agent, visual, and cybersecurity tasks, completing roughly 750,000 training trajectories. The model is positioned as the more cost-efficient member of the MiMo-V2.6 family while retaining strong performance across software engineering, tool use, automation, and visual coding benchmarks. MiMo-V2.6-Flash is available through MiMo Desktop, AI Studio, MiMo Code, the Xiaomi MiMo API Platform, OpenRouter, and the open-source MiMo-V2.6 release.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers interested in a powerful AI coding model

Audience

Developers, AI engineers, agent builders, researchers, startups, and technical teams that need a cost-efficient open-source multimodal model for coding, automation, visual tasks, and tool-using workflows

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

Free
$0.14 per 1 million tokens input
$0.28 per 1 million tokens output
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • 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.

Cons

  • 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.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

IBM
Founded: 1911
United States
www.ibm.com/granite

Company Information

Xiaomi Technology
Founded: 2010
China
mimo.xiaomi.com

Alternatives

Alternatives

CodeQwen

CodeQwen

Alibaba
Codestral

Codestral

Mistral AI
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
MiMo-V2.6-Pro-UltraSpeed

MiMo-V2.6-Pro-UltraSpeed

Xiaomi Technology
Codestral Mamba

Codestral Mamba

Mistral AI
MiMo-V2.6-Pro

MiMo-V2.6-Pro

Xiaomi Technology

Categories

AI Code Generators Supported
AI Coding Models Supported
AI Models Supported
Foundation Models Supported

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported
Multimodal Models Supported

Integrations

BLACKBOX AI Not Supported
Canopy Wave Not Supported
Cline Not Supported
ClinePass Not Supported
Hermes Agent Not Supported
Hugging Face Not Supported
IBM Granite Supported
IBM watsonx.ai Supported
Kilo Code Not Supported
OpenClaw Not Supported
OpenCode Not Supported
OpenRouter Not Supported
Roo Code Not Supported
Shiori Not Supported
Vercel AI Gateway Not Supported
Xiaomi MiMo Not Supported
Xiaomi MiMo Desktop Not Supported
Xiaomi MiMo Studio Not Supported

Integrations

BLACKBOX AI Supported
Canopy Wave Supported
Cline Supported
ClinePass Supported
Hermes Agent Supported
Hugging Face Supported
IBM Granite Not Supported
IBM watsonx.ai Not Supported
Kilo Code Supported
OpenClaw Supported
OpenCode Supported
OpenRouter Supported
Roo Code Supported
Shiori Supported
Vercel AI Gateway Supported
Xiaomi MiMo Supported
Xiaomi MiMo Desktop Supported
Xiaomi MiMo Studio Supported
Claim Granite Code and update features and information
Claim Granite Code and update features and information
Claim MiMo-V2.6-Flash and update features and information
Claim MiMo-V2.6-Flash and update features and information