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MiniMaxReasoningReasoningActive

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...

Text
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Specification
Model ID
minimax/minimax-m1
Modality
Text >text
Context
1M tokens
Input
$0.400/1M
Output
$2.20/1M
Updated
Sep 20, 2026
Scores
Capabilities
  • Supports tool calling
  • No vision support listed
  • Supports long-context workflows
  • Supports deeper reasoning tasks

Input and output

Accepts Text inputs. Returns Text outputs.

Supported parameters

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p

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