Is MiMo-V2-Flash available on FastMetal?

Not at the moment. MiMo-V2.5, from the same lab, is available on the FastMetal API today.

What is the context window of MiMo-V2-Flash?

262,144 tokens, shared between the prompt and the response.

How does MiMo-V2-Flash rank?

#152 on the public arena's Japanese board (ELO 1,304). Ranks move as the leaderboard is updated.

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xiaomi/mimo-v2-flash

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MiMo-V2-Flash

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a hybrid-thinking toggle and a 256K context window, and excels at reasoning, coding, and agent scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks as the top #1 open-source model globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config).

12/14/2025

262,144 tokens

#108 Code (Overall)

Specifications

Modalities

Input

text

Output

text

Supported Parameters

frequency_penalty

include_reasoning

max_tokens

presence_penalty

reasoning

repetition_penalty

response_format

seed

stop

structured_outputs

temperature

tool_choice

tools

top_k

top_p

Max Output Tokens

65,536

Frequently asked questions

Is MiMo-V2-Flash available on FastMetal?: Not at the moment. MiMo-V2.5, from the same lab, is available on the FastMetal API today.
What is the context window of MiMo-V2-Flash?: 262,144 tokens, shared between the prompt and the response.
How does MiMo-V2-Flash rank?: #152 on the public arena's Japanese board (ELO 1,304). Ranks move as the leaderboard is updated.