MiniMax
We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combined with a lightning attention mechanism.
Running this yourself: likely needs a high-memory cloud gpu.
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Quality Score
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Arena ELO
456B
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
16 of 22 public signals
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5.1K
Downloads
185
Likes
Jun 2025
Released
4/5 signals
2/4 signals
3/5 signals
3/4 signals
4/4 signals
Parameters
456B
Training compute
4.2e24 FLOP
Dataset scale
7.5T units
Base model
MiniMax-Text-01
Source-reported access: Open weights (unrestricted) · Likely confidence
Gaps we are still tracking