MiMo-V2-Flash

MiMo-V2-Flash

Xiaomi Technology
QwQ-32B

QwQ-32B

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

​QwQ-32B is an advanced reasoning model developed by Alibaba Cloud's Qwen team, designed to enhance AI's problem-solving capabilities. With 32 billion parameters, it achieves performance comparable to state-of-the-art models like DeepSeek's R1, which has 671 billion parameters. This efficiency is achieved through optimized parameter utilization, allowing QwQ-32B to perform complex tasks such as mathematical reasoning, coding, and general problem-solving with fewer resources. The model supports a context length of up to 32,000 tokens, enabling it to process extensive input data effectively. QwQ-32B is accessible via Alibaba's chatbot service, Qwen Chat, and is open sourced under the Apache 2.0 license, promoting collaboration and further development within the AI community.

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

Data scientists seeking a tool ptoviding AI models for complex problem-solving tasks

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
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
modelscope.cn/models/Qwen/QwQ-32B

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GLM-4.5

GLM-4.5

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Qwen

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Alibaba
DeepSeek-V2

DeepSeek-V2

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Qwen2

Qwen2

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Categories

Categories

Integrations

01.AI
BLACKBOX AI
Claude Code
GrimoAI
Hugging Face
JSON
Nebius Token Factory
Xiaomi MiMo
Xiaomi MiMo Studio
Zemith

Integrations

01.AI
BLACKBOX AI
Claude Code
GrimoAI
Hugging Face
JSON
Nebius Token Factory
Xiaomi MiMo
Xiaomi MiMo Studio
Zemith
Claim MiMo-V2-Flash and update features and information
Claim MiMo-V2-Flash and update features and information
Claim QwQ-32B and update features and information
Claim QwQ-32B and update features and information