Is MiMo-V2-Flash free?

The model weights are free to download and use under the MIT license. Using it via API (e.g., OpenRouter) is paid but extremely cheap, and Xiaomi currently offers a limited free tier on their AI Studio.

How fast is MiMo-V2-Flash?

It is one of the fastest frontier models available, capable of generating up to 150 tokens per second, which is significantly faster than Claude Sonnet 4.5 or Gemini 3 Pro.

What hardware do I need to run it locally?

You generally need a GPU with at least 15-24GB of VRAM (like an RTX 3090 or 4090) and 32GB of system RAM to run the model comfortably using frameworks like SGLang.

Is it better than GPT-5?

In specific benchmarks like AIME 2025 (Math) and SWE-bench (Coding), MiMo-V2-Flash scores competitively with "GPT-5 High," though GPT-5 generally retains an edge in broader general knowledge and safety.

MiMo-V2-Flash

High speed, low cost, and now open source.

From Xiaomi Corporation

Founder: Luo Fuli (Head of MiMo Project)

Text Generator

Dec 2025

100K+

Free

Pricing Model

Free

Starting Price

$0/Month

About This AI

MiMo-V2-Flash is Xiaomi’s latest open-source foundation model, designed to disrupt the industry with an “impossible” balance of speed, intelligence, and cost.

It utilizes a Mixture-of-Experts (MoE) architecture with 309 billion total parameters, but only 15 billion active during inference.

This allows it to run at blazing speeds (up to 150 tokens/s) while delivering reasoning and coding performance that rivals closed-source giants like Claude Sonnet 4.5 and GPT-5 High.

It is specifically optimized for agentic workflows, long-context reasoning (256k tokens), and mobile edge deployment.

Chatbot Coding Conversation LLM

Pricing

Pricing Model

Free

Starting Price

$0/Month

Key Features

Mixture-of-Experts (MoE): 309B total parameters with only 15B active, enabling flagship intelligence at mid-range costs.
Multi-Token Prediction (MTP): innovative decoding method that predicts multiple future tokens at once, tripling generation speed.
Hybrid Attention Architecture: Combines Sliding Window and Global Attention to handle 256k context windows with 6x less memory usage.
Agentic Optimization: Trained with "Multi-Teacher On-Policy Distillation" to excel at multi-step tasks and tool usage.
Open Source Weights: Fully open-sourced under the permissive MIT license, allowing for commercial use and local modification.
Reasoning Mode: Supports a "thinking" toggle to activate deep reasoning chains for complex math and science problems.

Pros

Extremely fast (150 tokens/sec) and low latency.
Very low API cost (~$0.10/1M input).
Top-tier performance on coding (SWE-bench) and math (AIME).
MIT License allows full commercial freedom.
Runs efficiently on consumer hardware (e.g., RTX 3090/4090) due to low active parameters.

Cons

Requires significant VRAM (15GB+) to run locally despite efficiency.
Benchmark scores are surprisingly high, leading to some community skepticism about "overfitting."
Real-world consistency can vary compared to more established models like GPT-4.

Best for Developers building high-speed AI agents, enterprises needing cost-effective batch processing, and researchers experimenting with MoE architectures locally.

FAQs

Is MiMo-V2-Flash free?
The model weights are free to download and use under the MIT license. Using it via API (e.g., OpenRouter) is paid but extremely cheap, and Xiaomi currently offers a limited free tier on their AI Studio.
How fast is MiMo-V2-Flash?
It is one of the fastest frontier models available, capable of generating up to 150 tokens per second, which is significantly faster than Claude Sonnet 4.5 or Gemini 3 Pro.
What hardware do I need to run it locally?
You generally need a GPU with at least 15-24GB of VRAM (like an RTX 3090 or 4090) and 32GB of system RAM to run the model comfortably using frameworks like SGLang.
Is it better than GPT-5?
In specific benchmarks like AIME 2025 (Math) and SWE-bench (Coding), MiMo-V2-Flash scores competitively with “GPT-5 High,” though GPT-5 generally retains an edge in broader general knowledge and safety.