


MiMo-V2-Flash is a 309-billion parameter Mixture-of-Experts (MoE) foundation language model developed by Xiaomi, with only 15 billion active parameters per inference step. This architecture makes it both powerful and remarkably efficient. The model excels in reasoning, coding, and agentic tasks, yet it is equally capable as a general-purpose assistant for everyday conversations, brainstorming, and information retrieval. It delivers output at speeds up to 150 tokens per second while keeping costs extremely low.
MiMo-V2-Flash achieves up to 150 tokens per second output speed, with pricing at just $0.10 per million input tokens and $0.30 per million output tokens. This combination makes it one of the most cost-effective high-performance models on the market.
The model uses a 1:5 mix of Global Attention and Sliding Window Attention. This design delivers strong performance across general tasks, long-context reasoning, and coding, while maintaining a fixed-size KV cache that integrates smoothly with existing training and inference infrastructure.
By introducing Multi-Token Prediction during training, MiMo-V2-Flash boosts its base capabilities and enables parallel token validation during inference. This innovation directly contributes to the model's exceptional output throughput.
Beyond specialized reasoning and coding, MiMo-V2-Flash is designed to be a friendly assistant for everyday tasks. It can discuss philosophical questions, explain complex concepts, and serve as a creative partner.
MiMo-V2-Flash is not just a specialist that can only write code and do math—it can become your assistant for everyday tasks, and a friend you can exchange ideas with.
This distinction matters because many high-performance models are narrowly optimized for technical benchmarks. MiMo-V2-Flash bridges the gap between raw reasoning power and approachable, human-like interaction. It combines the efficiency of a sparse MoE architecture with the versatility needed for casual conversation, making it equally useful in a production pipeline or a personal brainstorming session.
You need a model that delivers top-tier reasoning and coding performance without sacrificing speed or affordability, and you also want a model that feels natural and engaging in everyday dialogue. MiMo-V2-Flash is especially compelling for teams building agentic systems or cost-sensitive applications where token throughput directly impacts user experience.
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