MiMo-V2-Flash

MiMo-V2-Flash

Xiaomi Technology
Qwen2

Qwen2

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

Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud. Qwen2 is a series of large language models developed by the Qwen team at Alibaba Cloud. It includes both base language models and instruction-tuned models, ranging from 0.5 billion to 72 billion parameters, and features both dense models and a Mixture-of-Experts model. The Qwen2 series is designed to surpass most previous open-weight models, including its predecessor Qwen1.5, and to compete with proprietary models across a broad spectrum of benchmarks in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning.

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

AI developers interested in a powerful LLM

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

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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
github.com/QwenLM/Qwen2

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Categories

Categories

Integrations

Hugging Face
C
C#
C++
CSS
Claude Code
Clojure
Elixir
Java
JavaScript
MindMac
ModelScope
Molmo
PHP
Python
Qwen Chat
R
SSSModel
Visual Basic
Xiaomi MiMo Studio

Integrations

Hugging Face
C
C#
C++
CSS
Claude Code
Clojure
Elixir
Java
JavaScript
MindMac
ModelScope
Molmo
PHP
Python
Qwen Chat
R
SSSModel
Visual Basic
Xiaomi MiMo Studio
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