MiniMax logo

MiniMax M2.5

Multimodal
MiniMax

MiniMax M2.5 is an intermediate update to the MiniMax model family, offering improvements in reasoning accuracy, coding quality, and instruction adherence over M2.1. It supports multimodal inputs and extended context, with strong benchmark results across diverse tasks.

Key Specifications

Parameters
230.0B
Context
-
Release Date
February 11, 2026
Average Score
66.7%

Timeline

Key dates in the model's history
Announcement
February 11, 2026
Last Update
February 17, 2026
Today
March 25, 2026

Technical Specifications

Parameters
230.0B
Training Tokens
-
Knowledge Cutoff
-
Family
-
Capabilities
MultimodalZeroEval

Benchmark Results

Model performance metrics across various tests and benchmarks

Programming

Programming skills tests
SWE-Bench Verified
Self-reported
80.0%

Other Tests

Specialized benchmarks
BFCL_v3_MultiTurn
Self-reported
77.0%
BrowseComp
Standard evaluationSelf-reported
76.0%
MEWC
Self-reported
74.0%
GDPval-MM
Self-reported
59.0%
SWE-Bench Pro
Self-reported
55.0%
Multi-SWE-Bench
Self-reported
46.0%

License & Metadata

License
mit
Announcement Date
February 11, 2026
Last Updated
February 17, 2026

Compare MiniMax M2.5

All comparisons

Articles about MiniMax M2.5

Similar Models

All Models

Recommendations are based on similarity of characteristics: developer organization, multimodality, parameter size, and benchmark performance. Choose a model to compare or go to the full catalog to browse all available AI models.