mimo-v2-flash-free · Xiaomi
MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It adopts a MoE architecture with 309B total parameters and 15B active parameters per inference, balancing performance and efficiency. The model features a hybrid attention architecture, supports a hybrid-thinking toggle, and offers a 256K context window, enabling strong capabilities in complex reasoning, code generation, and agent-based scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks #1 among open-source models globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much.
MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It adopts a MoE architecture with 309B total parameters and 15B active parameters per inference, balancing performance and efficiency. The model features a hybrid attention architecture, supports a hybrid-thinking toggle, and offers a 256K context window, enabling strong capabilities in complex reasoning, code generation, and agent-based scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks #1 among open-source models globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much.
MiMo V2 Flash (free) has a 256,000 token context window.
MiMo V2 Flash (free) accepts text input.
MiMo V2 Flash (free) supports web search. Per-protocol parameter support is listed in the capability table on this page.
MiMo V2 Flash (free) is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to mimo-v2-flash-free — no other code changes needed.
MiMo V2 Flash (free) is developed by Xiaomi. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
MiMo V2 Flash (free) was released on December 16, 2025 by Xiaomi.
Paid version: MiMo V2 Flash
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Only supports OpenAI-compatible formats.
Use MiMo V2 Flash (free) via the AIHubMix unified API — one interface for every major LLM.