MiniMax M1
Minimax · 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...
MiniMax M1 ranks #228 of 348 models in the default AI Benchmark Hub order (quality first, then cost). At $1.38 blended per million tokens, it is cheaper than 43% of models with published API pricing. Its 1,000,000-token context window is 3.8× the catalog median (262,144 tokens).
Context
Max output: 40000
Pricing
Output / 1M: 2.20
Blend / 1M: 1.38
Quality
Provider
Moderated: no
Monthly cost at this blended rate
Estimated API spend if every token is billed at $1.38per million (the blend of this model's input and output prices). Real bills depend on the input/output mix.
| Tokens / month | Est. cost (USD) |
|---|---|
| 1,000,000 | $1.38 |
| 10,000,000 | $13.75 |
| 100,000,000 | $137.50 |
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