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
by Minimax|1M context|$0.20/M input tokens|$1.10/M output tokens
Endpoints
Available providers for this model, with details on pricing, context limits, and real-time health metrics.
