# Deploy Moonshot AI models on dedicated GPUs

10 Moonshot AI models ready to deploy on GPU capacity reserved for you, from 16B to 2.78T parameters, covering chat & reasoning, coding and vision & multimodal. Private OpenAI-compatible endpoint, European GPUs, billed per GPU-hour.

| Model | Type | Params | Context | License | Page |
| --- | --- | --- | --- | --- | --- |
| Kimi-K3 | Chat & reasoning | 2.78T | 1M | Custom license | https://sference.com/models/moonshotai/Kimi-K3.md |
| Kimi-K2.5 | Chat & reasoning | 1.03T | 256K | Modified MIT | https://sference.com/models/moonshotai/Kimi-K2.5.md |
| Kimi-K2.6 | Chat & reasoning | 1.03T | 256K | Modified MIT | https://sference.com/models/moonshotai/Kimi-K2.6.md |
| Kimi-K2-Instruct | Chat & reasoning | 1.03T | 128K | Modified MIT | https://sference.com/models/moonshotai/Kimi-K2-Instruct.md |
| Kimi-K2-Thinking | Chat & reasoning | 1.03T | 256K | Modified MIT | https://sference.com/models/moonshotai/Kimi-K2-Thinking.md |
| Kimi-K2.7-Code | Coding | 1.03T | 256K | Modified MIT | https://sference.com/models/moonshotai/Kimi-K2.7-Code.md |
| Kimi-Linear-48B-A3B-Instruct | Chat & reasoning | 49B | — | MIT | https://sference.com/models/moonshotai/Kimi-Linear-48B-A3B-Instruct.md |
| Kimi-K2-Instruct-0905 | Chat & reasoning | 1.03T | 256K | Modified MIT | https://sference.com/models/moonshotai/Kimi-K2-Instruct-0905.md |
| Kimi-VL-A3B-Thinking-2506 | Vision & multimodal | 16B | 128K | MIT | https://sference.com/models/moonshotai/Kimi-VL-A3B-Thinking-2506.md |
| Kimi-Dev-72B | Coding | 73B | 128K | MIT | https://sference.com/models/moonshotai/Kimi-Dev-72B.md |

## FAQ

### Which Moonshot AI models can I deploy on sference?

10 today, most requested first: Kimi-K3, Kimi-K2.5, Kimi-K2.6, Kimi-K2-Instruct, Kimi-K2-Thinking, Kimi-K2.7-Code, Kimi-Linear-48B-A3B-Instruct and Kimi-K2-Instruct-0905, and 2 more. Any other Moonshot AI checkpoint or a fine-tune of one can be requested with the form on this page.

### How many GPUs do Moonshot AI models need?

It depends on the model: the lineup runs from 16B to 2.78T 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 Moonshot AI models commercially?

3 of the 10 listed models are under licenses that allow commercial use (Custom license, Modified MIT and MIT 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/moonshotai#request. All makers: https://sference.com/dedicated.md