---
title: "MiMo-V2.6-Flash — LLM-TEST.com"
url: /models/mimo-v2-6-flash/
canonical_url: https://llm-test.com/models/mimo-v2-6-flash/
language: en
type: model
summary: "A distilled, low-latency version of MiMo-V2.6 for high-throughput and interactive workloads, still under MIT."
last_updated: "2026-11-05"
---

# MiMo-V2.6-Flash

_Xiaomi · Fast · open weights_

A distilled, low-latency version of MiMo-V2.6 for high-throughput and interactive workloads, still under MIT.

## At a glance

- Released: May 14, 2026
- Provider: Xiaomi
- Context window: 256,000 tokens
- Max output: 16,000 tokens
- Modalities: Text → text
- Knowledge cutoff: January 2026
- API model ID: `mimo-v2.6-flash`
- License: Open weights (MIT)

## Pricing

- Standard: $0.14 input / $0.28 output per 1M tokens (aggregator estimate)
- Example: a 1,500-token prompt + 650-token answer ≈ $0.0004 (standard)

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

- Faster responses and better short-task accuracy
- Cheaper to serve than the prior Flash
- Drops image input to stay lean

## Best use cases

- **Interactive chat** — Powers responsive assistants where latency is the priority.
- **Bulk processing** — Runs classification and extraction over large text volumes cheaply.
- **Local deployment** — Hosts easily under MIT for private, cost-sensitive apps.

## Strengths

- Fast
- MIT-licensed
- Inexpensive

## Limitations

- Text only
- Less capable than the Pro variant

## 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/