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...
Everything else
| Max output | 40K |
|---|---|
| Input / 1M | $0.55 |
| Output / 1M | $2.20 |
| Cache read / 1M | — |
| Cache write / 1M | — |
| 1M in + 1M out | $2.75 |
| Takes | text |
| Returns | text |
| Tools | yes |
| Reasoning | optional |
| Open weights | no |
| Released | 2025-06-17 |
| Knowledge cutoff | 2024-06-30 |
| Retires | — |
| Catalog id | minimax/minimax-m1 |
Using it
In 00, this model is picked per agent — and per tier, so the model that answers your customers need not be the one that writes your code. Get 00.