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MiniMax: MiniMax M1

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...

Source-linkedClosed weights
Report data
Context window1M
Maximum output40K
Provider offers0
Knowledge cutoffUndisclosed
Capabilities

What this model supports

ReasoningNo
Tool callingNo
Structured outputNo
AttachmentsNo
Temperature controlNo
Open weightsNo
Creator
MiniMax
Family
Not documented
Modalities
Text
License
Not documented
Release date
Not documented
Model ID
minimax/minimax-m1
Market availability

Provider pricing

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Evidence

Published benchmark results

Insufficient benchmark coverage. ModelBench does not infer a score from price, context size, or model name.