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

Evidence stack

Signals of different kinds, weighed together
SignalResultReference
Tokenizer signatureNot measured
API surfaceNo other entry shares this exact contractapi_7395250b
Context and output1,000,000 context · 40,000 max outputdeclared
Reasoning contractOptionaldeclared
Serving providers observedNone recorded yet

Declared record

What the catalogue claims about this model

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...

Modalities
text->text
Declared tokenizer
Other
Prompt price
$0.55 / M tokens
Completion price
$2.20 / M tokens

Supported parameters

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p

defaults: {"temperature":null,"top_p":null,"frequency_penalty":null}

Catalogue entry

History

Every observation, kept as taken
  • 17 June 2025Enters the OpenRouter catalogue with no declared family.

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.