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Xiaomi launches new open-source AI model MiMo-V2-Flash to compete with DeepSeek and OpenAI

Chinese smartphone and electric car giant Xiaomi has released a new artificial intelligence model, MiMo-V2-Flash. The company claims that it demonstrates the best results in solving complex logic problems, writing code and working in autonomous agent mode, but is also ideal for the role of an assistant for everyday tasks.

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Xiaomi launches new open-source AI model MiMo-V2-Flash to compete with DeepSeek and OpenAI

Chinese smartphone and electric car giant Xiaomi has released a new artificial intelligence model, MiMo-V2-Flash. The company claims that it demonstrates the best results in solving complex logic problems, writing code and working in autonomous agent mode, but is also ideal for the role of an assistant for everyday tasks.

MiMo-V2-Flash is available worldwide on the Xiaomi MiMo Studio developer site, the Hugging Face platform, and via APIs, writes the South China Morning Post.

Xiaomi claims that the MiMo-V2-Flash model is designed with a focus on performance.

“It provides lightning-fast withdrawal speeds of 150 tokens per second, while maintaining an ultra-low cost of $0.1 per million incoming tokens and $0.3 per million outgoing ones. This makes it one of the most cost-effective high-performance models on the market,” the company noted.

According to Xiaomi, their development is not inferior to such giants of reasoning as Kimi K2 and DeepSeek V3.2 in logic tests, but at the same time copes better with creative writing. A separate advantage is called working with large amounts of data: in the evaluation of long contexts, MiMo-V2-Flash bypassed the model from Moonshot AI.

For agent tasks, Xiaomi claims that MiMo-V2-Flash scored 73.4% on SWE-Bench Verified, outperforming all open-source competitors, coming close to the performance of OpenAI’s GPT-5-High. It was also on par with Claude 4.5 Sonnet, which is considered the best coding model in the industry, at a price that is significantly lower than the cost of the Anthropic model.

MiMo-V2-Flash was developed using the Mixture-of-Experts (MoE) architecture, an approach in machine learning that divides a model into separate subnetworks, or “experts,” each specializing in a specific part of the input data to collectively perform a task. The total number of model parameters is 309 billion.

Recall that Xiaomi launched its first AI model, MiMo, in May of this year.

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