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

# Kimi K2 series

> Moonshot AI Kimi K2 reasoning models — coding, agentic tasks, and vision, 256k context.

The Kimi K2 series models are available through Upmore via the standard Chat Completions API (`/v1/chat/completions`). All of them are reasoning models — they think before answering and return the chain-of-thought in `reasoning_content`. Context window: 256k tokens.

## Available models

| Model                      | Notes                                                                                            |
| -------------------------- | ------------------------------------------------------------------------------------------------ |
| `kimi-k2.7-code`           | Strongest coding model — reliable instruction-following in long contexts                         |
| `kimi-k2.7-code-highspeed` | Same model, \~180 tokens/s output (up to 260 on short contexts), higher price                    |
| `kimi-k2.6`                | Strongest general model — agentic coding, long-context reasoning, front-end design; vision input |
| `kimi-k2.5`                | Agent / coding / vision all-rounder, thinking and non-thinking modes                             |

<Note>
  Reasoning tokens are billed as **completion tokens** — budget `max_tokens` generously. Prompt-cache hits are billed at a reduced input rate automatically.
</Note>

## Quick example

<CodeGroup>
  ```bash cURL theme={null}
  curl https://api.upmore.net/v1/chat/completions \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "kimi-k2.6",
      "messages": [
        { "role": "user", "content": "Explain quantum entanglement in one paragraph." }
      ]
    }'
  ```

  ```python Python theme={null}
  from openai import OpenAI

  client = OpenAI(
      api_key="YOUR_API_KEY",
      base_url="https://api.upmore.net/v1"
  )

  response = client.chat.completions.create(
      model="kimi-k2.7-code",
      messages=[
          {"role": "user", "content": "Write a Python function that merges two sorted lists."}
      ]
  )

  print(response.choices[0].message.content)
  ```

  ```python Vision theme={null}
  from openai import OpenAI

  client = OpenAI(
      api_key="YOUR_API_KEY",
      base_url="https://api.upmore.net/v1"
  )

  response = client.chat.completions.create(
      model="kimi-k2.5",
      messages=[
          {"role": "user", "content": [
              {"type": "image_url", "image_url": {"url": "https://example.com/chart.png"}},
              {"type": "text", "text": "Summarize this chart."}
          ]}
      ]
  )

  print(response.choices[0].message.content)
  ```
</CodeGroup>

## Parameters

| Parameter     | Type           | Required | Description                                                                                     |
| ------------- | -------------- | -------- | ----------------------------------------------------------------------------------------------- |
| `model`       | string         | Yes      | One of the model IDs from the table above                                                       |
| `messages`    | array          | Yes      | List of `{ role, content }` objects; `kimi-k2.5` / `kimi-k2.6` accept `image_url` content items |
| `stream`      | boolean        | No       | Enable SSE streaming. Default: `false`                                                          |
| `temperature` | float          | No       | Controls randomness. Default: `1`                                                               |
| `max_tokens`  | integer        | No       | Max output tokens **including reasoning tokens**                                                |
| `stop`        | string / array | No       | Sequences that stop generation                                                                  |
| `tools`       | array          | No       | List of tools the model may call                                                                |

## Response notes

| Field                                              | Description                                                          |
| -------------------------------------------------- | -------------------------------------------------------------------- |
| `choices[].message.reasoning_content`              | The model's chain-of-thought (streamed as `delta.reasoning_content`) |
| `usage.completion_tokens_details.reasoning_tokens` | Reasoning tokens spent — part of `completion_tokens`                 |
| `usage.prompt_tokens_details.cached_tokens`        | Prompt cache hits — billed at the discounted cache rate              |

<Card title="API Reference" icon="code" href="/api-reference/model-api/moonshot/kimi-k2">
  View the interactive API playground.
</Card>