> ## 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

> Moonshot's flagship MoE for coding agents and long-horizon reasoning.

Moonshot's flagship MoE. Trained for long-horizon agentic workflows; the model engineering teams reach for when the cheap models stop being enough.

| | |
| - | - |
| **Model ID** | `moonshotai/kimi-k2.6` |
| **Route slug** | `kimi-k2.6` |
| **Parameters** | 1T MoE (\~32B active) |
| **Context** | 262,144 tokens (256K) |
| **Throughput** | 70 tokens/sec |
| **TTFT** | 280ms |
| **License** | Modified MIT |
| **Pricing** | [cogito.decart.ai/models/kimi-k2.6](https://cogito.decart.ai/models/kimi-k2.6) |

## Best for

* Coding agents (multi-file refactors, multi-step PRs)
* Long-horizon agentic reasoning
* Complex tool use with parallel function calls
* Workloads that benefit from long, reliable reasoning chains

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

The default `moonshotai/kimi-k2.6` route is served from the AWS B300 high-capacity Moonshot deployment.

## License

Kimi K2.6 ships under a Modified MIT license. Permissive enough for commercial deployments; check the upstream license for redistribution specifics.


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