MiMo-V2.5
MultimodalMiMo-V2.5 is Xiaomi's 310.8B-parameter open-weight multimodal MoE model released in April 2026. It leads high-resolution image understanding with a 0.89 score on HR-Bench (4k) and performs strongly on video and document benchmarks. Weights are available on Hugging Face under the MIT license.
Key Specifications
Parameters
310.8B
Context
1.0M
Release Date
April 22, 2026
Average Score
69.1%
Timeline
Key dates in the model's history
Announcement
April 22, 2026
Last Update
August 27, 2026
Today
September 10, 2026
Technical Specifications
Parameters
310.8B
Training Tokens
-
Knowledge Cutoff
-
Family
-
Capabilities
MultimodalZeroEval
Pricing & Availability
Input (per 1M tokens)
$0.17
Output (per 1M tokens)
$0.34
Max Input Tokens
1.0M
Max Output Tokens
131.1K
Supported Features
Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning
Benchmark Results
Model performance metrics across various tests and benchmarks
Other Tests
Specialized benchmarks
HR-Bench (4k)
Self-reported by the model provider • Self-reported
Video-MME
Self-reported by the model provider • Self-reported
OmniDocBench
Self-reported by the model provider • Self-reported
GraphWalks
Parents 1M F1 • Self-reported
CharXiv-R
RQ • Self-reported
Claw-Eval
Multi Turn, Pass^3 • Self-reported
DailyOmni
• Self-reported
Finance Agent v2
• Verified
MiMo Coding Bench
• Self-reported
MMMU-Pro
• Self-reported
ResearchClawBench
Overall • Self-reported
SWE-Bench Pro
• Self-reported
Terminal-Bench 2.0
• Self-reported
VideoHolmes
• Self-reported
License & Metadata
License
mit
Announcement Date
April 22, 2026
Last Updated
August 27, 2026
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