Xiaomi: MiMo V2 Omni
MiMo V2 Omni is a reasoning model from Xiaomi released on Mar 18, 2026. It reads text, images, files, audio and video and writes text, with a 265K token context window and up to 265K tokens per reply.
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It costs $0.40 per million input tokens and $2 per million output tokens. Cached input bills at $0.08, 80% less than fresh input.
It supports tool calling and prompt caching.
- Modalities
- In / out price
- $0.40 / $2 per 1M
- Context
- 265K
- Max output
- 265K
- Released
- Mar 18, 2026
- Knowledge cutoff
- Dec 2024
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
MiMo V2 Omni pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.40 / 1M tokens | |
|---|---|---|
| Output | $2 / 1M tokens | |
| Cached input (read) | $0.08 / 1M tokens | 80% off input |
What MiMo V2 Omni costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call MiMo V2 Omni through an OpenAI compatible API.
- Tools
tools - Reasoning
reasoning - Temperature
temperature
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MiMo V2 Omni questions
How much does the MiMo V2 Omni API cost?
$0.40 per million input tokens and $2 per million output tokens, with cached input at $0.08. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of MiMo V2 Omni?
265,000 tokens of input, and it can write up to 265,000 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does MiMo V2 Omni support tool calling?
Yes. It accepts tool definitions, which is what an agent needs to call your APIs.
Is MiMo V2 Omni open source?
No. Xiaomi serves it through an API only, so you cannot download the weights or host it yourself.
When was MiMo V2 Omni released?
Mar 18, 2026, with training data up to Dec 2024.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on MiMo V2 Omni?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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