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Day 0 Support: Xiaomi MiMo V2.6

Misbah Syed
DevRel Engineer, LiteLLM
Mateo Wang
AI Engineer, LiteLLM

LiteLLM x Xiaomi MiMo V2.6

LiteLLM supports mimo-v2.6-pro and mimo-v2.6-flash on day 0, and prices both on Xiaomi's own endpoint for the first time.

Pricing​

Per 1M tokens, Pro is $0.435 input and $0.87 output, Flash is $0.14 and $0.28. V2.6 costs what V2.5 cost; Xiaomi kept the rates and raised the model.

Pro reads cached input at $0.0036, about a 121st of its input rate, where most providers in the same cost map charge a tenth. Cache writes are free for now.

Thinking is on by default​

Every V2.6 model reasons unless told otherwise, and Xiaomi controls that with thinking.type rather than reasoning_effort. LiteLLM treats xiaomi_mimo as an OpenAI-compatible provider and does not map thinking for it yet, so pass it through explicitly with allowed_openai_params=["thinking"].

In multi-turn tool calling, the reasoning_content from a prior assistant turn has to go back in the next request or the API returns a 400.

Usage​

from litellm import completion

response = completion(
model="xiaomi_mimo/mimo-v2.6-pro",
messages=[{"role": "user", "content": "Refactor this migration script."}],
thinking={"type": "disabled"}, # on by default
allowed_openai_params=["thinking"],
)

print(response.choices[0].message.content)

Hit Reload Model Cost Map in the Admin UI, or POST /reload/model_cost_map, to pick the rows up without a redeploy on v1.76.0 and above.

If you are on V2.5​

Xiaomi deprecates mimo-v2.5-pro and mimo-v2.5 at 10:00 Beijing time on October 21, 2026.

Feedback​

Running MiMo V2.6 through LiteLLM and hitting something unexpected? Share it on GitHub discussions.

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