Xiaomi launches open-source model to compete against DeepSeek, Moonshot, OpenAI systems

Chinese smartphone and electric vehicle (EV) giant Xiaomi has released and open-sourced a new artificial intelligence model, MiMo-V2-Flash, that is expected to match up well against the latest systems from DeepSeek, Moonshot AI, Anthropic and OpenAI.

Available worldwide on Xiaomi’s developer site MiMo Studio, Hugging Face and the API Platform, MiMo-V2-Flash “particularly excels in reasoning, coding and agentic scenarios, while also serving as an excellent general-purpose assistant for everyday tasks”, the company said in its MiMo blog post on Tuesday.

Chinese AI prodigy Luo Fuli, who recently joined Xiaomi’s MiMo team after a stint at DeepSeek, wrote in a post on X that MiMo-V2-Flash served as “step 2 on our AGI road map”. AGI, the acronym for artificial general intelligence, refers to a hypothetical type of AI that reaches or surpasses human cognitive capabilities.

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According to Xiaomi, MiMo-V2-Flash was engineered for maximum efficiency. “It delivers blazing-fast inference at 150 tokens per second, while maintaining an ultra-low cost of US$0.1 per million input tokens and US$0.3 per million output tokens – making it one of the most cost-effective high-performance models available,” the company said.

It claimed that MiMo-V2-Flash achieved performance comparable to Moonshot AI’s Kimi K2 Thinking and DeepSeek V3.2 Thinking on most reasoning benchmarks, while maintaining competitive general writing capabilities for high-quality open-ended responses. In long-context evaluations, Xiaomi said its latest model surpasses Kimi K2 Thinking.

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On agentic tasks, Xiaomi touted that MiMo-V2-Flash scored 73.4 per cent on SWE-Bench Verified to outperform all open-source competitors, while approaching the performance of OpenAI’s GPT-5-High.

It was also on par with Claude 4.5 Sonnet, considered the industry’s best coding model, at a fraction of the Anthropic model’s cost.

  

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