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minimax

MiniMax: MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context of up to 4 million tokens. The text model adopts a hybrid architecture that combines Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE). The image model adopts the “ViT-MLP-LLM” framework and is trained on top of the text model. To read more about the release, see: https://www.minimaxi.com/en/news/minimax-01-series-2

minimax/minimax-01

Context Size

1,000.192K

Input Price

1,230 Ks/M

Output Price

6,765 Ks/M


Architecture

Text
Image

Supported Parameters

max_tokenstemperaturetop_p

Details

TokenizerOther
Max Completion1,000,192 tokens
Provider Context1,000.192K tokens
ModeratedNo