> ## Documentation Index
> Fetch the complete documentation index at: https://veniceai-feat-models-redesign.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Kimi K2.6 API

> Kimi K2.6 API on Venice: 250K context, $0.75 input and $3.50 output per 1M tokens. Private and end-to-end encrypted variants. Pricing, specs and code examples.

export const HubMount = ({view, children, ...props}) => {
  const [hub, setHub] = useState(null);
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    let alive = true;
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        <p className="vx-mount-note">The interactive model catalog could not load. The full data is below.</p>
        {children}
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      <div className="vx-mount-source">{children}</div>
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<HubMount view="ModelPage" data={{"family":{"slug":"kimi-k2-6","name":"Kimi K2.6","modality":"text","task":"chat","provider":"moonshot","description":"Kimi K2.6 is an open-source, native multimodal agentic model from Moonshot AI with 1T total parameters and 32B active parameters. It excels at long-horizon coding, coding-driven design, agent swarm orchestration, and proactive autonomous execution with 256K context windows.","primary":"kimi-k2-6","variants":["kimi-k2-6","e2ee-kimi-k2-6"],"created":1776643200,"updated":1788652800,"privacy":["private","e2ee"],"openWeights":true},"models":[{"id":"kimi-k2-6","name":"Kimi K2.6","type":"text","modality":"text","task":"chat","variant":"standard","provider":"moonshot","created":1776643200,"description":"Kimi K2.6 is an open-source, native multimodal agentic model from Moonshot AI with 1T total parameters and 32B active parameters. 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MoonshotAI's multimodal model with 262K context. 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Reasoning effort is adjustable with `reasoning_effort`: none, low, medium and high (default high)."},{"q":"Which endpoint does the Kimi K2.6 API use?","a":"Call `POST /chat/completions`. `/responses` (Alpha) is also supported."}]}} />

<div className="vx-static">
  <Accordion title="Plain-text specification">
    # Kimi K2.6 API

    Kimi K2.6 is a large language model by Moonshot AI, available on the Venice API as `kimi-k2-6`. Private and end-to-end encrypted variants are available.

    Kimi K2.6 is an open-source, native multimodal agentic model from Moonshot AI with 1T total parameters and 32B active parameters. It excels at long-horizon coding, coding-driven design, agent swarm orchestration, and proactive autonomous execution with 256K context windows.

    ## Kimi K2.6 API pricing

    | Model ID | Variant | Privacy | Price |
    | - | - | - | - |
    | `kimi-k2-6` | Standard | Private | $0.75 input / $3.50 output per 1M tokens |
    | `e2ee-kimi-k2-6` | E2EE | End-to-end encrypted | $0.87 input / $4.12 output per 1M tokens |

    ## Kimi K2.6 specifications

    | Spec | Value |
    | - | - |
    | Provider | Moonshot AI |
    | Released | Apr 20, 2026 |
    | Privacy | Private, End-to-end encrypted |
    | Open weights | Yes |
    | Context window | 250K tokens |
    | Max output | 64K tokens |
    | Reasoning effort | none, low, medium, high |
    | Served precision | INT4 |

    ## How to use the Kimi K2.6 API

    Send requests to `POST https://api.venice.ai/api/v1/chat/completions` with `"model": "kimi-k2-6"` and your API key.

    ```bash theme={null}
    curl https://api.venice.ai/api/v1/chat/completions \
      -H "Authorization: Bearer $VENICE_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "kimi-k2-6",
        "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }],
        "reasoning_effort": "high"
      }'
    ```

    ## Kimi K2.6 API FAQ

    ### How much does the Kimi K2.6 API cost?

    $0.75 per 1M input tokens and $3.50 per 1M output tokens, with cached input at $0.16 per 1M. The E2EE variant costs $0.87 input and \$4.12 output. Prices are in USD and can be paid in DIEM at parity.

    ### What is the Kimi K2.6 model ID?

    Use `kimi-k2-6` as the `model` parameter. Other variants: `e2ee-kimi-k2-6` (E2EE).

    ### Is the Kimi K2.6 API private?

    The Standard variant is private: requests run on infrastructure Venice controls with zero data retention, and prompts and outputs are never stored or used for training. The E2EE variant is end-to-end encrypted: prompts are encrypted on your device and decrypted only inside an attested hardware enclave, so neither Venice nor the GPU provider can read them.

    ### What is the context window of Kimi K2.6?

    250K tokens of context, with up to 64K output tokens per response.

    ### What does Kimi K2.6 support?

    Kimi K2.6 supports function calling, structured outputs, reasoning, image input, web search and prompt caching. Reasoning effort is adjustable with `reasoning_effort`: none, low, medium and high (default high).

    ### Which endpoint does the Kimi K2.6 API use?

    Call `POST /chat/completions`. `/responses` (Alpha) is also supported.

    ## Related models

    * [Kimi K3 API](/models/kimi-k3): $3.75 input / $18.75 output per 1M tokens
    * [Kimi K2.5 API](/models/kimi-k2-5): $0.56 input / $3.50 output per 1M tokens
    * [Qwen 3.6 Plus Uncensored API](/models/qwen-3-6-plus-uncensored): $0.63 input / $3.75 output per 1M tokens
    * [GLM 5 API](/models/glm-5): $1.00 input / $3.20 output per 1M tokens
    * [Grok Build 0.1 API](/models/grok-build-0-1): $1.00 input / $2.00 output per 1M tokens
    * [Gemini 3 Flash Preview API](/models/gemini-3-flash-preview): $0.70 input / $3.75 output per 1M tokens
  </Accordion>
</div>


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