MiniMax M1
by MiniMaxtext->text2 endpoints
Overview
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...
Capabilities
Text generation
Tool use / Function calling
Extended reasoning
Long context
Modalities
Input
Text
Output
Text
Technical Specifications
Context Window
1M tokens
Max Output
40K tokens
Knowledge Cutoff
2024-06-30
Tokenizer
Other
Uptime (24h)
10000.0%
Supported Parameters
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p