MiMo V2.6 Pro

mimo-v2.6-pro · Xiaomi

MiMo-V2.6-Pro is Xiaomi’s trillion-parameter, natively omni-modal flagship reasoning model for complex projects, long-horizon agentic tasks, coding, research, and professional knowledge work. It supports a 1M-token context window and up to 128K output tokens. Compared with V2.5, it delivers stronger reasoning and long-task performance while retaining the same API pricing.

API Pricing

Input$0.48 / 1M tokens
Output$0.96 / 1M tokens
Cache read$0.0038 / 1M tokens

Specifications

Context1.05M tokens
Modalitiestext, image, video, audio
CapabilitiesThinking, Streaming, Tool calling, Web search, Structured outputs, Prompt caching

Frequently asked questions

What is MiMo V2.6 Pro?

MiMo-V2.6-Pro is Xiaomi’s trillion-parameter, natively omni-modal flagship reasoning model for complex projects, long-horizon agentic tasks, coding, research, and professional knowledge work. It supports a 1M-token context window and up to 128K output tokens. Compared with V2.5, it delivers stronger reasoning and long-task performance while retaining the same API pricing.

What is the context length of MiMo V2.6 Pro?

MiMo V2.6 Pro has a 1,048,576 token context window.

How much does MiMo V2.6 Pro cost?

On AIHubMix, MiMo V2.6 Pro costs $0.48 per million input tokens and $0.96 per million output tokens. Cached input reads are billed at $0.0038 per million tokens.

What modalities does MiMo V2.6 Pro support?

MiMo V2.6 Pro accepts text, image, video and audio input.

How do I call MiMo V2.6 Pro via API?

MiMo V2.6 Pro 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-v2.6-pro — no other code changes needed.

Who created MiMo V2.6 Pro?

MiMo V2.6 Pro is developed by Xiaomi. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

When was MiMo V2.6 Pro released?

MiMo V2.6 Pro was released on September 22, 2026 by Xiaomi.

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Use MiMo V2.6 Pro via the AIHubMix unified API — one interface for every major LLM.