MiMo-V2.6-Pro

MiMo-V2.6-Pro

Xiaomi Technology
Qwen3.8-Max

Qwen3.8-Max

Alibaba
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About

MiMo-V2.6-Pro is Xiaomi MiMo’s most capable open-source omnimodal AI model, built for coding, general agent workflows, visual tasks, research, and multimodal creation. The model combines strong software engineering capabilities with computer use, 3D spatial reasoning, visual perception, and tool use for complex multi-step work. MiMo-V2.6-Pro can build interactive 3D environments, generate Blender models, create frontend interfaces and presentations, and coordinate agents to refine outputs through visual feedback. It also supports research workflows such as literature review, computational experimentation, materials discovery, and formal mathematical proof development. Xiaomi trained the model with large-scale reinforcement learning across coding, general agents, visual tasks, and cybersecurity environments and has open-sourced the technical report, training environments, and RL code.

About

Qwen3.8-Max is Qwen’s most capable model to date, built as a Max-class AI model for coding, work, research, long-horizon tasks, and multimodal agents. It scales to 2.4 trillion parameters with 95 billion active parameters and is available through QwenCloud. The model is designed to complete complex, open-ended tasks end to end with greater reliability and minimal human involvement. Qwen3.8-Max supports autonomous coding workflows, agentic development, research reproduction, visual reasoning, document understanding, video analysis, and real-world productivity tasks. It can integrate with popular agent frameworks and coding assistants, including Claude Code, Codex, Qoder CLI, Qwen Code, and OpenClaw. Built for developers, researchers, enterprises, and AI agent builders, Qwen3.8-Max helps teams automate sophisticated work across code, documents, tools, interfaces, and multimodal content.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, software engineers, researchers, agent builders, designers, technical teams, and organizations that need an open-source multimodal model for coding, automation, visual creation, research, and complex tool-using workflows

Audience

Developers and AI teams that need scalable access to text, image, video, audio, and multimodal AI models for building applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
$0.435 per 1 million tokens input
$0.87 per 1 million tokens output
Free Version
Free Trial

Pricing

$2 per 1M (input)
$2 per 1 million tokens (input), $6 per 1 million tokens (output)
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
features 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

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.

Pros & Cons from Real Users

Pros

  • Qwen3.8-Max is really interesting from a developer’s perspective. A 2.4T-parameter model that can handle text, images, video, and documents has a lot of potential for coding agents, repo analysis, multimodal debugging, and workflows where the model needs to understand more than just plain text.

Cons

  • The biggest downside is that a lot of the hype still needs proof. Alibaba is claiming Qwen3.8-Max trails only Fable 5, but current reports say there are no public benchmark scores, no model card, no activated-parameter count, and no independent leaderboard results yet.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Xiaomi Technology
Founded: 2010
China
mimo.xiaomi.com

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

Alternatives

GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

Cline
ClinePass
Hermes Agent
Hugging Face
OpenClaw
Alibaba Cloud Model Studio
BLACKBOX AI
Canopy Wave
Cherry Studio
Happy Shrimp 1.0
Kilo Code
Novita AI
Odysseus
OpenCode
Python
Qwen
Qwen Studio
QwenCloud
Vercel AI Gateway
Xiaomi MiMo Studio

Integrations

Cline
ClinePass
Hermes Agent
Hugging Face
OpenClaw
Alibaba Cloud Model Studio
BLACKBOX AI
Canopy Wave
Cherry Studio
Happy Shrimp 1.0
Kilo Code
Novita AI
Odysseus
OpenCode
Python
Qwen
Qwen Studio
QwenCloud
Vercel AI Gateway
Xiaomi MiMo Studio
Claim MiMo-V2.6-Pro and update features and information
Claim MiMo-V2.6-Pro and update features and information
Claim Qwen3.8-Max and update features and information
Claim Qwen3.8-Max and update features and information