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: 0.55, 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 Gs32282206 GB
MiniMax M2 4bit101603128 GB
MiniMax M2 8bit8193223 GB
MiniMax M2 5bit2125155 GB
MiniMax M2 6bit2107185 GB
MiniMax M2 3bit38299 GB

Best Alternatives to MiniMax M2

Best Alternatives
Context / RAM
Downloads
Likes
List 3.0 Ultra Coder Brain200K / 77.7 GB28000210
MiniMax M2.7 BF16200K / 147.3 GB5630
MiniMax M2.7192K / 75.2 GB5598841131
MiniMax M2.5192K / 74 GB7177431375
MiniMax M2.7192K / 213 GB25742
MiniMax M2.1192K / 77.7 GB373911276
MiniMax M2.5192K / 75.2 GB14035
MiniMax M2.1192K / 75.2 GB3512
MiniMax M2.7192K / 75.2 GB211017
MiniMax M2.7 RAM 100GB MLX192K / 100.4 GB27815
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