MiniMax-M1: The World's First Open-Weight, Large-Scale Hybrid Attention Inference Model MiniMax-M1 adopts a Mixture of Experts (MoE) architecture and integrates the Flash Attention mechanism. The mod
function_callinghttps://api.novita.ai/v3/openai/v1/chat/completions| Model | Context | Max out | Pricing |
|---|---|---|---|
| MiniMax M3.1 Flash | 1M | 524K | $0.15$0.6 |
| MiniMax M2.1 | 205K | 131K | $0.3$1.2 |
| MiniMax M2.5 | 205K | 131K | $0.3$1.2 |
| MiniMax M2.7 | 205K | 131K | $0.3$1.2 |
| MiniMax M2 | 205K | 131K | $0.3$1.2 |
| MiniMax M3 | 1M | 131K | $0.3$1.2 |
| MiniMax M1 | 1M | 40K | $0.55$2.2 |
| MiniMax M2.5 Highspeed | 205K | 131K | $0.6$2.4 |
| MiniMax M2.7-highspeed | 205K | 131K | $0.6$2.4 |
/v1/models/novita/minimaxai/minimax-m1-80k