# Kimi K2.6: API price, context window and how to connect

Kimi K2.6 by Moonshot AI: $0.65 per million input tokens, $3.41 per million output tokens, a 262K-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

## In short

Moonshot AI's multimodal model for long-horizon coding, code-driven UI generation and orchestrating several agents. It handles tasks in Python, Rust and Go confidently. The weights are open.

## Specifications

| | |
|---|---|
| Provider | [Moonshot AI](https://skillok.org/docs/en/ai-models/providers/moonshot) |
| Released | 2026-04-20 |
| Context window | 262K tokens |
| Accepts | text, images |
| Answers with | text |
| Reasoning mode | yes |
| Tool calling | yes |
| Open weights | yes |
| Identifier | `moonshotai/kimi-k2.6` |

## Price

| Per 1M tokens | In dollars |
|---|---|
| Input (question, context) | $0.65 |
| Output (answer) | $3.41 |

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about **$0.061**. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

## What it is good for

* Code in Python, Rust and Go
* Interfaces and layout from code
* Orchestrating several agents

## Similar models

Catalog models with the same kind of output, closest in the price of a typical request.

| Model | Input | Output | Window | Price |
|---|---|---|---|---|
| [Grok 4.3](https://skillok.org/docs/en/ai-models/models/grok-4-3) | $1.25 | $2.5 | 1M | about the same |
| [Grok 4.20](https://skillok.org/docs/en/ai-models/models/grok-4-20) | $1.25 | $2.5 | 2M | about the same |
| [Kimi K2.7 Code](https://skillok.org/docs/en/ai-models/models/kimi-k2-7-code) | $0.671 | $3.35 | 262K | about the same |
| [Gemini 3.8 Flash](https://skillok.org/docs/en/ai-models/models/gemini-3-8-flash) | $0.825 | $4.125 | 1.05M | 1.2× more expensive |
| [DeepSeek V4 Pro 0423](https://skillok.org/docs/en/ai-models/models/deepseek-v4-pro) | $0.955 | $1.911 | 1.05M | 1.3× cheaper |

## Other Moonshot AI models

* [Kimi K3](https://skillok.org/docs/en/ai-models/models/kimi-k3)
* [Kimi K2.7 Code](https://skillok.org/docs/en/ai-models/models/kimi-k2-7-code)

## How to connect in SKILLOK

Kimi K2.6 works through OpenRouter: add an OpenRouter key in **Settings → AI** and pick the `moonshotai/kimi-k2.6` model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — [Connecting a model in SKILLOK](https://skillok.org/docs/en/ai-models/connecting-in-skillok).

## Where the data comes from

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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https://skillok.org/docs/en/ai-models/models/kimi-k2-6