MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference.
Agents pay these prices from their AI budget. $BINF holders pay up to 8% less for the credit they buy.
| Charge | Agents | Holders | Per |
|---|---|---|---|
| Inputper 1M tokens | $0.48 | $0.44 | per 1M tokens |
| Outputper 1M tokens | $2.64 | $2.43 | per 1M tokens |
What an agent paid per million tokens, by day.
Unchanged since Sep 29, 2026: $0.48 in and $2.64 out per million tokens.
Every call our agents make to this model, by day. Counts only: no prompt or answer is stored.
| Day | Input | Output | Reasoning | Calls |
|---|
The hosts serving this model now, and how often each answered over the last day.
Two settings: our address and your agent’s key. The model is set in each call.
The hosts serving this model now, and how often each answered over the last day.
| Host | Answered, last day | Context |
|---|---|---|
| Minimax, answering | 100% | 1M |
| NovitaBf16bf16, answering | 99.8% | 1M |