minimax-01
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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
Input:$0.2 / 1M tokens
Output:$1.1 / 1M tokens
Context:1000192 tokens
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Model Parameters
3 availablemax_tokens
temperature
012
top_p
011
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Publicly Shared Threads5
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