MiniMax M2 by MiniMaxAI

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MiniMax M2 is an open-source language model by MiniMaxAI. Features: 228.7b LLM, VRAM: 77.7GB, Context: 192K, License: other, LLM Explorer Score: 0.52, ELO: 1346.

  Arxiv:2504.07164   Arxiv:2509.06501   Arxiv:2509.13160   Conversational   Custom code   Deploy:azure   Endpoints compatible   Eval-results   Fp8   Minimax m2   Region:us   Safetensors   Sharded   Tensorflow

MiniMax M2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Quantized Models of the MiniMax M2

Model
Likes
Downloads
VRAM
MiniMax M2 Mlx 8bit Gs32216206 GB
MiniMax M2 4bit10385128 GB
MiniMax M2 8bit874223 GB
MiniMax M2 3bit38699 GB
MiniMax M2 5bit226155 GB
MiniMax M2 6bit225185 GB

Best Alternatives to MiniMax M2

Best Alternatives
Context / RAM
Downloads
Likes
MiniMax M2.7200K / 75.2 GB10384241230
List 3.0 Ultra Coder Brain200K / 75.2 GB2210
MiniMax M2.7 BF16200K / 147.3 GB460
MiniMax M2.5192K / 74 GB7926871501
MiniMax M2.7192K / 213 GB2312
MiniMax M2.5192K / 75.2 GB585
MiniMax M2.1192K / 77.7 GB81021356
MiniMax M2.1192K / 75.2 GB1713
MiniMax SLURPY192K / 226.8 GB18114
MiniMax M2.7 RAM 100GB MLX192K / 100.4 GB3005
Note: green Score (e.g. "73.2") means that the model is better than MiniMaxAI/MiniMax-M2.

Rank the MiniMax M2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a