---
title: "MiMo-V2.6-Pro — LLM-TEST.com"
url: /models/mimo-v2-6-pro/
canonical_url: https://llm-test.com/models/mimo-v2-6-pro/
language: en
type: model
summary: "Xiaomi's flagship open research model under a permissive MIT license, balancing strong reasoning and coding with a notably low served price."
last_updated: "2026-11-05"
---

# MiMo-V2.6-Pro

_Xiaomi · Flagship · open weights_

Xiaomi's flagship open research model under a permissive MIT license, balancing strong reasoning and coding with a notably low served price.

## At a glance

- Released: May 14, 2026
- Provider: Xiaomi
- Context window: 256,000 tokens
- Max output: 32,000 tokens
- Modalities: Text + image → text
- Knowledge cutoff: January 2026
- API model ID: `mimo-v2.6-pro`
- License: Open weights (MIT)

## Pricing

- Standard: $0.435 input / $0.87 output per 1M tokens (aggregator estimate)
- Example: a 1,500-token prompt + 650-token answer ≈ $0.001 (standard)

## What's new vs MiMo-V2.1-Pro (January 2026)

- Improved coding and reasoning accuracy
- Added image understanding and longer context
- Higher memory needs than the previous generation

## Best use cases

- **Coding assistants** — Generates and reviews code with reliable instruction following.
- **Permissive commercial use** — MIT licensing makes it easy to embed in products without legal friction.
- **Research fine-tuning** — Serves as an open base for academic and industrial experiments.

## Strengths

- Fully permissive MIT license
- Strong coding
- Low cost

## Limitations

- Smaller ecosystem than Llama
- Modest multimodal breadth

## Where to get access

- Weights: Hugging Face (XiaomiMiMo) — https://huggingface.co/XiaomiMiMo
- Also available: open weights on Hugging Face; run locally with vLLM or SGLang
- Docs: https://huggingface.co/XiaomiMiMo

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/