MiniMax: MiniMax M1minimax
Bottom Line
MiniMax: MiniMax M1: $0.55/1M input, $2.20/1M output, 1.0M context. 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...
API Pricing (per 1M tokens)
| Input | $0.55 |
| Output | $2.20 |
| Cache Read | — |
| Cache Write | — |
| Blended (3:1) | $0.96 |
Specs & Performance
| Context Length | 1.0M |
| Max Output | 40K |
| Intelligence | — |
| Coding | — |
| Math | — |
| Speed | — |
| TTFT | — |
| CPS Grade | — |
| Input / Output Modalities | text → text |
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FAQ
How much does the MiniMax: MiniMax M1 API cost?
MiniMax: MiniMax M1 costs $0.55/1M input tokens and $2.20/1M output tokens. Blended cost at a 3:1 ratio is about $0.96/1M tokens.
What is the context window of MiniMax: MiniMax M1?
MiniMax: MiniMax M1 supports a 1.0M token context window with up to 40K output tokens.
Is MiniMax: MiniMax M1 worth it?
MiniMax: MiniMax M1 has a CPS grade of — (score —), intelligence index —, coding index —. Use the compare page to benchmark against rivals.