MiniMax: MiniMax M1
minimax/minimax-m1MiniMax-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...
Input modalitiesT
Output modalitiesT
Source-linkedClosed weights
Context window1M
Maximum output40K
Provider offers0
Knowledge cutoffUndisclosed
CapabilitiesWhat this model supports
- Creator
- MiniMax
- Family
- Not documented
- Modalities
- Text
- License
- Not documented
- Release date
- Not documented
- Model ID
minimax/minimax-m1
No known providers available.
EvidencePublished benchmark results
Insufficient benchmark coverage. ModelBench does not infer a score from price, context size, or model name.
