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MiMo-V2.5-TTS

Xiaomi

Description

MiMo-V2.5 is Xiaomi's native omnimodal sparse Mixture-of-Experts model with 310B total parameters, 15B activated parameters, and a 1M-token context window. Built on the MiMo-V2-Flash backbone, it adds dedicated vision and audio encoders for text, image, video, and audio understanding, and is post-trained with SFT, agentic reinforcement learning, and Multi-Teacher On-Policy Distillation for multimodal perception, long-context reasoning, and agentic workflows.

Release Date
2026-04-22
Parameters
Context Length
1.0M
Modalities
audio, image, text, video

Capability Radar

80
general
60
coding
70
reasoning
60
scienceest.
70
agents
88
multimodal

Science uses a reasoning proxy when dedicated science benchmarks are unavailable.

Rankings

Domain#RankScoreSource
Audio35
65.0
AA

Benchmark Scores (LLM Stats)

Agents

MiMo Coding Bench71.8%SR
Terminal-Bench 2.065.8%SR
Claw-Eval63.2%SR
SWE-Bench Pro56.1%SR
Finance Agent v236.7%SR
ResearchClawBench16.9%SR

Document Understanding

OmniDocBench87.2%SR

General

MMMU-Pro77.9%SR

Long Context

GraphWalks87.0%SR

Multimodal

HR-Bench (4k)88.5%SR
Video-MME87.7%SR
DailyOmni83.5%SR
CharXiv-R81.0%SR
VideoHolmes64.0%SR

AA Evaluation Indices

No AA evaluation data available

LLM Stats Category Scores

Long Context
90
Multimodal
80
General
80
Vision
80
Reasoning
70
Tool Calling
70
Agents
60
Code
60
Coding
60
Finance
40

Pricing

Input Price$0.4 / 1M tokens
Output Price$2 / 1M tokens
Blended Price (3:1)$0.8 / 1M tokens
Cache Read Price$0.08 / 1M tokens

Speed

No speed data available

Provider Price Ranking

Provider Price Ranking

1 providers

ProviderInputOutput
1XiaomiPRIMARY
$0.4
$2

Compare pricing across different API providers for this model.

External Sources