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

# Moonshot (Kimi)

> Kimi K3 and K2.x models via Moonshot's OpenAI-compatible API

<Note>Source: [Kimi API Platform](https://platform.kimi.ai). All model IDs use the prefix `moonshot/`. Base URL: `https://api.moonshot.ai/v1`.</Note>

## Flagship

<CardGroup cols={2}>
  <Card title="kimi-k3">
    <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> Reasoning · <Icon icon="bolt" size={14} /> Speed

    `moonshot/kimi-k3`

    Moonshot's 2.8T-parameter flagship MoE with a 1M-token context window, native vision/video, and always-on reasoning for long-horizon coding and knowledge work. Pass `reasoning_effort` via `model_params` (currently `"max"` only). Do not set `temperature` — the API fixes it at `1.0`.

    * \$3 / \$15 (cache-hit input \$0.30)
    * <Icon icon="window-maximize" size={14} /> 1M context
    * <Icon icon="keyboard" size={14} /> Text, Image, Video input
    * <Icon icon="brain" size={14} /> Thinking (`reasoning_content` / `reasoning_effort`)
  </Card>
</CardGroup>

## Coding

<CardGroup cols={2}>
  <Card title="kimi-k2.7-code">
    <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> Reasoning · <Icon icon="bolt" size={14} /> <Icon icon="bolt" size={14} /> Speed

    `moonshot/kimi-k2.7-code`

    Coding-focused multimodal model with thinking mode for long-context programming agents.

    * \$0.95 / \$4 (cache-hit input \$0.19)
    * <Icon icon="window-maximize" size={14} /> 256K context
    * <Icon icon="keyboard" size={14} /> Text, Image, Video input
    * <Icon icon="brain" size={14} /> Thinking
  </Card>

  <Card title="kimi-k2.7-code-highspeed">
    <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> Reasoning · <Icon icon="bolt" size={14} /> <Icon icon="bolt" size={14} /> <Icon icon="bolt" size={14} /> <Icon icon="bolt" size={14} /> Speed

    `moonshot/kimi-k2.7-code-highspeed`

    Same K2.7 Code weights with higher output throughput (\~180 tok/s) for interactive coding.

    * \$1.90 / \$8 (cache-hit input \$0.38)
    * <Icon icon="window-maximize" size={14} /> 256K context
    * <Icon icon="keyboard" size={14} /> Text, Image, Video input
    * <Icon icon="brain" size={14} /> Thinking
  </Card>
</CardGroup>

## General

<CardGroup cols={2}>
  <Card title="kimi-k2.6">
    <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> Reasoning · <Icon icon="bolt" size={14} /> <Icon icon="bolt" size={14} /> Speed

    `moonshot/kimi-k2.6`

    General-purpose multimodal MoE with thinking and non-thinking modes for chat, agents, and vision.

    * \$0.95 / \$4 (cache-hit input \$0.16)
    * <Icon icon="window-maximize" size={14} /> 256K context
    * <Icon icon="keyboard" size={14} /> Text, Image, Video input
    * <Icon icon="brain" size={14} /> Thinking
  </Card>

  <Card title="kimi-k2.5">
    <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> <Icon icon="lightbulb" size={14} /> Reasoning · <Icon icon="bolt" size={14} /> Speed

    `moonshot/kimi-k2.5`

    Previous multimodal MoE generation. Prefer K2.6 or K3 for new workloads. Soft sunset for new users; full sunset August 31, 2026.

    * \$0.60 / \$3
    * <Icon icon="window-maximize" size={14} /> 256K context
    * <Icon icon="keyboard" size={14} /> Text, Image input
    * <Icon icon="brain" size={14} /> Thinking
  </Card>
</CardGroup>

## Usage

```python theme={"dark"}
from timbal import Agent

agent = Agent(
    name="kimi",
    model="moonshot/kimi-k3",
    model_params={"reasoning_effort": "max"},
    tools=[],
)

result = await agent.collect(prompt="Explain Kimi K3 in one sentence.")
print(result.output.collect_text())
```