Models Model details

MiniMax

MiniMax: MiniMax-01

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

Input
$0.2

/ 1M tokens

Output
$1.1

/ 1M tokens

Context window
1M

tokens

Limits

Context

1,000,192

tokens

Max output

900,172

90% of the context window

Parameters

456,089,655,296

Model facts

Author

MiniMax

Tokenizer

Other

Modality

Text + Image -> Text

Knowledge cutoff

2024-03-31

Created

Jan 15, 2025

Hugging Face

MiniMaxAI/MiniMax-Text-01

Publication status

Hugging Face: verifiedLicense: not publishedParameter count: published

Modalities

Input · TextInput · ImageOutput · Text

Generation controls

Max tokensTemperatureTop p