All Models
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...
Available Providers (6)
| Provider | Model ID | Input Cost | Output Cost | Context | Max Output | Docs |
|---|---|---|---|---|---|---|
 302.AI | MiniMax-M1 | $0.13/MTok | $1.25/MTok | 1M | 128K | |
 NanoGPT | MiniMax-M1 | $0.14/MTok | $1.33/MTok | 1M | 131.1K | |
 OpenRouter | minimax/minimax-m1 | $0.40/MTok | $2.20/MTok | 1M | 40K | |
 Jiekou.AI | minimaxai/minimax-m1-80k | $0.55/MTok | $2.20/MTok | 1M | 40K | |
 NovitaAI | minimaxai/minimax-m1-80k | $0.55/MTok | $2.20/MTok | 1M | 40K | |
 Qiniu | MiniMax-M1 | —/MTok | —/MTok | 1M | 80K |
Capabilities
Reasoning
Tool Calling
Attachments
Open Weights
Structured Output