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Minimaxtext+image->text

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

Context Window

1.0M

Input Price

$0.2000/M tokens

Output Price

$1.10/M tokens

Modality

text+image->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.2000/M tokens
Output$1.10/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.003100

Context Window Size
Maximum tokens the model can process in a single request
Context Window1.0M tokens
100% of 1M max

~750K

Words Equivalent

~500

Pages of Text

~10002

Code Functions

Best Use Cases
What this model excels at
VisionImage-analysisMultimodal

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