How big is MiMo-V2.6-Pro?

1.02 trillion total parameters with 42 billion active per token, according to the Hugging Face model card.

How much does the MiMo-V2.6-Pro API cost?

Xiaomi lists $0.435 per million input tokens on a cache miss, $0.0036 on a cache hit and $0.87 per million output tokens, unchanged from the V2.5 series.

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Omnimodal large language model (open weights)

MiMo-V2.6-Pro

MiMo-V2.6-Pro is Xiaomi's flagship omnimodal model, released with open weights under the MIT licence on 22 September 2026. It is a sparse mixture-of-experts model with 1.02 trillion total and 42 billion active parameters, a 1M-token context window, and text, image, video and audio input, trained with large-scale reinforcement learning for agentic work.

Last reviewed 28 Oct 2026 · by Xiaomi

Facts at a glance

Developer	Xiaomi
Released	22 September 2026 source
Parameters	1.02T total, 42B active (sparse MoE, 384 routed experts, 8 active) source
Context window	1M tokens source
Modalities	Text, image, video and audio input; text output source
API price	$0.435 per 1M input tokens (cache miss), $0.0036 cache hit, $0.87 per 1M output tokens source
License	MIT
Artificial Analysis Intelligence Index	46.32 (v4.3, September 2026, as reported by Xiaomi) source

Questions people ask

How big is MiMo-V2.6-Pro?: 1.02 trillion total parameters with 42 billion active per token, according to the Hugging Face model card.
How much does the MiMo-V2.6-Pro API cost?: Xiaomi lists $0.435 per million input tokens on a cache miss, $0.0036 on a cache hit and $0.87 per million output tokens, unchanged from the V2.5 series.