MiniMax: MiniMax M1
minimax/minimax-m1 · MiniMaxNot yet established- Declared family
- Unknown
- Evidence confidence
- Unknown
- Declared tokenizer tag
- Other
- Entered catalogue
- 17 June 2025
- Last tested
- Not yet measured
- Measurement
- Awaiting measurement
| Signal | Result | Reference |
|---|---|---|
| Tokenizer signature | Not measured | – |
| API surface | No other entry shares this exact contract | api_7395250b |
| Context and output | 1,000,000 context · 40,000 max output | declared |
| Reasoning contract | Optional | declared |
| Serving providers observed | None recorded yet | – |
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...
Supported parameters
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p
defaults: {"temperature":null,"top_p":null,"frequency_penalty":null}
Cite this page as the evidence record for MiniMax: MiniMax M1: the URL is stable, measurements are dated, and revisions append to the history above. Method: tokenizer fingerprinting, v1, 50 strings. The raw data behind every figure is on the data page.