# Deploy MiniMax models on dedicated GPUs

7 MiniMax models ready to deploy on GPU capacity reserved for you, from 220B to 456B parameters, covering chat & reasoning. Private OpenAI-compatible endpoint, European GPUs, billed per GPU-hour.

| Model | Type | Params | Context | License | Page |
| --- | --- | --- | --- | --- | --- |
| MiniMax-M3.1-Flash | Chat & reasoning | 220B | 1M | Custom license | https://sference.com/models/MiniMaxAI/MiniMax-M3.1-Flash.md |
| MiniMax-M3 | Chat & reasoning | 427B | 1M | Custom license | https://sference.com/models/MiniMaxAI/MiniMax-M3.md |
| MiniMax-M2.5 | Chat & reasoning | 229B | 200K | Modified MIT | https://sference.com/models/MiniMaxAI/MiniMax-M2.5.md |
| MiniMax-M2.7 | Chat & reasoning | 229B | 200K | Custom license | https://sference.com/models/MiniMaxAI/MiniMax-M2.7.md |
| MiniMax-M2 | Chat & reasoning | 229B | 200K | Modified MIT | https://sference.com/models/MiniMaxAI/MiniMax-M2.md |
| MiniMax-M2.1 | Chat & reasoning | 229B | 200K | Modified MIT | https://sference.com/models/MiniMaxAI/MiniMax-M2.1.md |
| MiniMax-M1-80k | Chat & reasoning | 456B | 9.8M | Apache 2.0 | https://sference.com/models/MiniMaxAI/MiniMax-M1-80k.md |

## FAQ

### Which MiniMax models can I deploy on sference?

7 today, most requested first: MiniMax-M3.1-Flash, MiniMax-M3, MiniMax-M2.5, MiniMax-M2.7, MiniMax-M2, MiniMax-M2.1 and MiniMax-M1-80k. Any other MiniMax checkpoint or a fine-tune of one can be requested with the form on this page.

### How many GPUs do MiniMax models need?

It depends on the model: the lineup runs from 220B to 456B parameters. Each model page lists the checkpoint size and the minimum footprint on 80 GB and 141 GB GPUs. You don't pick hardware on sference: you choose a performance tier and we size the deployment.

### Can I use MiniMax models commercially?

1 of the 7 listed models are under licenses that allow commercial use (Custom license, Modified MIT and Apache 2.0 across the lineup). Each model page summarizes its license and links the full text.

### How is a dedicated deployment priced?

Per GPU-hour on a monthly commitment, sized to your throughput and latency targets.

Request a deployment: https://sference.com/models/MiniMaxAI#request. All makers: https://sference.com/dedicated.md