> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cogito.decart.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Kimi K2.6: Fast

> A dedicated low-latency Kimi K2.6 route for agent workloads.

The fast route for Kimi K2.6 runs the same NVIDIA NVFP4 target as [Kimi K2.6](/models/kimi-k2-6) on a dedicated AWS B300 SGLang lane. One EP8 prefill worker and one EP8 decode worker isolate its low-latency capacity from the default route.

|                      |                                                                                          |
| -------------------- | ---------------------------------------------------------------------------------------- |
| **Model ID**         | `moonshotai/kimi-k2.6:fast`                                                              |
| **Route slug**       | `kimi-k2.6-fast`                                                                         |
| **Parameters**       | 1T MoE (\~32B active)                                                                    |
| **Context**          | 262,144 tokens (256K)                                                                    |
| **Hardware**         | AWS B300                                                                                 |
| **Serving topology** | 1× EP8 prefill + 1× EP8 decode                                                           |
| **License**          | Modified MIT                                                                             |
| **Pricing**          | [cogito.decart.ai/models/kimi-k2.6-fast](https://cogito.decart.ai/models/kimi-k2.6-fast) |

## Best for

* Latency-sensitive coding and tool-use agents
* Workloads that benefit from isolated route capacity
* The same target model as Kimi K2.6 on a dedicated serving lane

```python theme={null}
client.chat.completions.create(
    model="moonshotai/kimi-k2.6:fast",
    messages=[...],
)
```

## License

Same as Kimi K2.6 — Modified MIT.
