mimo-v2.6-flash

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

Context
1.0M
Max output
131K
Input price
$0.14/1M tokens
Output price
$0.28/1M tokens

Capabilities

Reasoning & Interaction
Reasoning
Tool Calling
Output Control
Structured Output
JSON Mode
Infrastructure
Streaming
Prompt Caching

Details

Provider Xiaomi MiMo
Creator xiaomi
Familymimo
License—
Statusactive
Typechat
Input modalitiestext, image, video, audio
Output modalitiestext
Open weight—
Parameters—
Architecture—
Context window1.0M tokens
Max input—
Max output131K tokens
Reasoning tokensYes
Knowledge cutoff—
Release date
Sourceofficial

Tools

Function Callingfunction_calling
Call external functions and APIs

Pricing

Input
$0.14
Output
$0.28
Cache write
—
Cache read
$0
Batch in
—
Batch out
—

Family Comparison: mimo

ModelMax charsSample rateVoicesLanguagesPricing
MiMo-v2-tts—————
MiMo-v2.5-asr—————
MiMo-v2.5-tts-voiceclone—————
MiMo-v2.5-tts-voicedesign—————
MiMo-v2.5-tts—————
MiMo-V2-Flash————$0.1$0.3
MiMo-v2.5————$0.14$0.28
mimo-v2.6-flash————$0.14$0.28
MiMo-V2-Omni————$0.4$2
MiMo-v2.5-pro————$0.44$0.87
mimo-v2.6-pro————$0.44$0.87
MiMo-V2-Pro————$1$3
mimo-v2.6-pro-ultraspeed————$4.35$8.7

API

GET/v1/models/xiaomi/mimo-v2.6-flash

mimo-v2.6-flash

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

Changes · 2 entries
mimo-v2.6-flashcreateca7a400Nov 2, 2026, 03:02 AM
mimo-v2.6-flashcreatef13f134Sep 22, 2026, 06:39 AM