Minimax
MiniMax: MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
| Specifications | |
|---|---|
| Provider | Minimax |
| Input pricing | $0.55/M tokens |
| Output pricing | $2.20/M tokens |
| Context length | 1.0M tokens |
| Max output | 40K tokens |
| Input modalities | text |
| Output modalities | text |
| Tokenizer | Other |
| Knowledge cutoff | 2024-06-30 |
| Content moderated | No |
Supported Parameters
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p