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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...
β
Rank
977K
Context Window
$0.40
Min Input /1M
$2.20
Min Output /1M
Model Info
| Model ID | minimax-minimax-m1 |
| Modality | text->text |
| Context Window | 977K tokens |
| Platforms | OR |
Usage & Rankings
| Rank | Unranked |
| Weekly Usage | β |
Input
$0.400
/ 1M tokens
Output
$2.200
/ 1M tokens
Round Trip
$2.60
/ 1M tokens
Value Rating
π‘
π‘ Moderate β suitable for daily use
About MiniMax: MiniMax M1
MiniMax: MiniMax M1 is a large language model with a 977K token context window.
The best available input price is $0.400/1M tokens and output price is $2.200/1M tokens, with a round-trip cost of $2.60/1M tokens.