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...
The figures
- Made by
- MiniMax
- Model ID
- minimax/minimax-m1
- Input
- $0.55 per million tokens
- Output
- $2.2 per million tokens
- Context window
- 1M tokens
- Longest answer
- 40K tokens
- Takes in
- text
- Gives back
- text
- Reasoning
- Yes
- Tool calling
- Yes
- Reads images
- No
- Open weights
- No
- Released
- 17 Jun 2025
Read on 3 Oct 2026.