MiMo-V2-Flash

MiMo-V2-Flash

Xiaomi Technology
Qwen3.6

Qwen3.6

Alibaba
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About

MiMo-V2-Flash is an open weight large language model developed by Xiaomi based on a Mixture-of-Experts (MoE) architecture that blends high performance with inference efficiency. It has 309 billion total parameters but activates only 15 billion active parameters per inference, letting it balance reasoning quality and computational efficiency while supporting extremely long context handling, for tasks like long-document understanding, code generation, and multi-step agent workflows. It incorporates a hybrid attention mechanism that interleaves sliding-window and global attention layers to reduce memory usage and maintain long-range comprehension, and it uses a Multi-Token Prediction (MTP) design that accelerates inference by processing batches of tokens in parallel. MiMo-V2-Flash delivers very fast generation speeds (up to ~150 tokens/second) and is optimized for agentic applications requiring sustained reasoning and multi-turn interactions.

About

Qwen3.6 is a large language model developed by Alibaba as part of its Qwen AI model family, designed for real-world applications and advanced reasoning tasks. It focuses on improving stability, usability, and performance compared to earlier versions. The model supports multimodal capabilities, allowing it to process and reason across text, images, and other data types. Qwen3.6 is particularly strong in coding and developer workflows, offering improved accuracy for complex programming tasks. It uses a mixture-of-experts architecture, enabling efficient performance while maintaining large-scale model capabilities. The model is designed to be deployable in production environments, including enterprise and cloud-based systems. It can be integrated into applications or run locally using open-weight variants. Overall, Qwen3.6 delivers a powerful, efficient, and versatile AI solution for modern use cases.

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

Developers and researchers requiring a solution to build high-performance AI applications involving long-context reasoning, coding, and agentic workflows

Audience

Qwen3.6 is ideal for developers, enterprises, and AI engineers who need a powerful, scalable model for coding, automation, and multimodal AI 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

No images available

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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:

Review this Software

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:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Xiaomi Technology
Founded: 2010
China
mimo.xiaomi.com/blog/mimo-v2-flash

Company Information

Alibaba
Founded: 1999
China
qwen.ai/

Alternatives

Alternatives

Claude Opus 4.6

Claude Opus 4.6

Anthropic
MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi Technology
Claude Opus 4.7

Claude Opus 4.7

Anthropic
MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi Technology
MiMo-V2.5-Pro

MiMo-V2.5-Pro

Xiaomi Technology
Qwen2

Qwen2

Alibaba
MiMo-V2.5

MiMo-V2.5

Xiaomi Technology
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

Hugging Face
Claude Code
ModelScope
Ollama
OpenClaw
Qwen
Qwen Chat
Qwen3.6-27B
Xiaomi MiMo
Xiaomi MiMo Studio

Integrations

Hugging Face
Claude Code
ModelScope
Ollama
OpenClaw
Qwen
Qwen Chat
Qwen3.6-27B
Xiaomi MiMo
Xiaomi MiMo Studio
Claim MiMo-V2-Flash and update features and information
Claim MiMo-V2-Flash and update features and information
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