MiMo-V2-Flash

MiMo-V2-Flash

Xiaomi Technology
Nativ

Nativ

Blaizzy
+
+

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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

Nativ is a 100% open-source macOS app for running OpenAI models locally on Apple Silicon, putting frontier intelligence directly on your desk with no accounts or cloud required. It provides a clean chat interface with streaming responses, Markdown, code highlighting, image input, and per-message performance metrics, with every response generated locally. A curated model library includes open models from teams such as Google, Cohere, and Liquid AI, while Nativ recommends models suited to the hardware in your Mac. Built on MLX-VLM and tuned for M-series unified memory and Metal, it runs models without wrappers or translation layers. Live telemetry exposes tokens per second, memory pressure, thermal state, and time to first token so users can see what is actually happening during inference. Nativ supports language, vision, video, code, and audio workflows, including chatting with LLMs, captioning images, summarizing video, autocompleting code, transcribing audio, and generating speech.

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

Developers, researchers, hackers, and users seeking to run, inspect, customize, and connect open AI models locally for private multimodal and coding workflows

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

Blaizzy
United States
blaizzy.github.io/nativ/

Alternatives

Alternatives

MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi Technology
epuBear

epuBear

Scand
MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi Technology
Inkling

Inkling

Thinking Machines Lab
MiMo-V2.5-Pro

MiMo-V2.5-Pro

Xiaomi Technology
MiMo-V2.5

MiMo-V2.5

Xiaomi Technology
Gemma 3n

Gemma 3n

Google DeepMind

Categories

Categories

Integrations

Claude Code
Codex CLI
Cohere
Google
Hermes Agent
Hugging Face
Liquid AI
Markdown
OpenAI
OpenCode
Pi Agent
Xiaomi MiMo
Xiaomi MiMo Studio

Integrations

Claude Code
Codex CLI
Cohere
Google
Hermes Agent
Hugging Face
Liquid AI
Markdown
OpenAI
OpenCode
Pi Agent
Xiaomi MiMo
Xiaomi MiMo Studio
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