Xiaomi Releases Large Model MiMo-V2-Pro

Summarized by NextFin AI

Xiaomi has launched the MiMo-V2-Pro model, specifically designed for high-intensity agent working scenarios in the real world.
The model features over 1 trillion total parameters and an innovative hybrid attention architecture, supporting an ultra-long context length of 1 million tokens.
Pricing for API services includes $1 per million tokens for input and $3 for output within 256,000 tokens, and $2 for input and $6 for output for contexts up to 1 million tokens.
The MiMo-V2-Pro model is available on multiple platforms with tiered pricing based on usage.

NextFin News -- Xiaomi has announced the launch of its large model, Xiaomi MiMo-V2-Pro, which is designed for high-intensity agent working scenarios in the real world.

It boasts over 1 trillion total parameters (42 billion active parameters) and employs an innovative hybrid attention architecture, supporting an ultra-long context length of 1 million tokens. The MiMo-V2-Pro model is now officially available with API services, supporting a context length of 1 million tokens and offering tiered pricing based on usage. For contexts within 256,000 tokens: input is priced at $1 per million tokens and output at $3 per million tokens; for contexts within 1 million tokens: input is priced at $2 per million tokens and output at $6 per million tokens. MiMo-V2-Pro has been launched simultaneously on multiple platforms.

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Insights

What are the core technical principles behind Xiaomi's MiMo-V2-Pro model?

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What current trends are shaping the large model AI market?

How has user feedback been regarding the MiMo-V2-Pro's performance?

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How does the MiMo-V2-Pro compare to other large AI models available?

What historical cases have influenced the development of large AI models?

What are the implications of the hybrid attention architecture used in MiMo-V2-Pro?

How does tiered pricing for the MiMo-V2-Pro affect its market adoption?

What are the main limitations of the MiMo-V2-Pro model?

What competitive strategies are being employed by Xiaomi in the AI sector?

How does the context length of 1 million tokens enhance the model's capabilities?

What are the expected long-term impacts of AI models like MiMo-V2-Pro on various industries?

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