> ## 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.

# MiMo-V2.5 API

> MiMo-V2.5 API on Venice: 1M context, $0.40 input and $2.00 output per 1M tokens. Private, with zero data retention. Pricing, specs and code examples.

export const HubMount = ({view, children, ...props}) => {
  const [hub, setHub] = useState(null);
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        cache: 'no-cache'
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        if (!res.ok) throw new Error(`bundle ${res.status}`);
        return res.json();
      }).catch(err => i + 1 < urls.length ? load(i + 1) : Promise.reject(err));
      const Frag = <></>.type;
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        useCallback
      }));
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  }, []);
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    return <div className="vx-mount is-failed">
        <p className="vx-mount-note">The interactive model catalog could not load. The full data is below.</p>
        {children}
      </div>;
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      <div className="vx-mount-skeleton" aria-hidden="true"><span /><span /><span /></div>
      <div className="vx-mount-source">{children}</div>
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<HubMount view="ModelPage" data={{"family":{"slug":"mimo-v2-5","name":"MiMo-V2.5","modality":"text","task":"chat","provider":"xiaomi","description":"MiMo-V2.5 is Xiaomi's native omnimodal model with strong agentic capabilities, supporting text, image, video, and audio understanding in a unified architecture. Built on a sparse Mixture-of-Experts backbone with 310B total and 15B active parameters, it delivers long-context reasoning up to 1M tokens, function calling, and multimodal perception.","primary":"xiaomi-mimo-v2-5","variants":["xiaomi-mimo-v2-5"],"created":1781136000,"updated":1781136000,"privacy":["private"],"openWeights":true},"models":[{"id":"xiaomi-mimo-v2-5","name":"MiMo-V2.5","type":"text","modality":"text","task":"chat","variant":"standard","provider":"xiaomi","created":1781136000,"description":"MiMo-V2.5 is Xiaomi's native omnimodal model with strong agentic capabilities, supporting text, image, video, and audio understanding in a unified architecture. Built on a sparse Mixture-of-Experts backbone with 310B total and 15B active parameters, it delivers long-context reasoning up to 1M tokens, function calling, and multimodal perception.","source":"https://huggingface.co/XiaomiMiMo/MiMo-V2.5","privacy":"private","openWeights":true,"text":{"context":1000000,"maxOutput":65536,"quantization":"fp8","reasoning":{"supported":true,"effort":["none","low","medium","high"],"defaultEffort":"high"},"caps":{"tools":true,"structured":true,"vision":true,"maxImages":10,"videoInput":true,"audioInput":true,"webSearch":true,"code":true}},"pricing":{"input":0.4,"output":2,"cacheRead":0.08,"blended":0.8},"headline":{"value":0.8,"unit":"per 1M tokens","basis":"blended"},"endpoints":[{"id":"chat","method":"POST","path":"/chat/completions","name":"Chat Completions","status":"stable","recommended":true},{"id":"responses","method":"POST","path":"/responses","name":"Responses","status":"alpha"}],"family":"mimo-v2-5"}],"related":{"similar":[{"slug":"qwen-3-7-plus","name":"Qwen 3.7 Plus","provider":"alibaba","modality":"text","privacy":["anonymized"],"created":1780358400,"headline":{"value":0.875,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"venice-role-play-uncensored","name":"Venice Role Play Uncensored","provider":"venice","modality":"text","privacy":["private"],"created":1771545600,"headline":{"value":0.875,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"minimax-m2-7","name":"MiniMax M2.7","provider":"minimax","modality":"text","privacy":["private"],"created":1773792000,"headline":{"value":0.65625,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"gemini-3-5-flash-lite","name":"Gemini 3.5 Flash-Lite","provider":"google","modality":"text","privacy":["anonymized"],"created":1783555200,"headline":{"value":1.0625,"unit":"per 1M tokens","basis":"blended"},"variants":1}],"versions":[]},"providers":{"xiaomi":{"slug":"xiaomi","name":"Xiaomi","logo":"/images/icons/models/text.svg"},"alibaba":{"slug":"alibaba","name":"Alibaba Qwen","logo":"/images/icons/models/qwen.svg"},"venice":{"slug":"venice","name":"Venice","logo":"/images/icons/models/venice-keys.svg"},"minimax":{"slug":"minimax","name":"MiniMax","logo":"/images/icons/models/minimax.svg"},"google":{"slug":"google","name":"Google","logo":"/images/icons/models/google.svg"}},"faq":[{"q":"How much does the MiMo-V2.5 API cost?","a":"$0.40 per 1M input tokens and $2.00 per 1M output tokens, with cached input at $0.08 per 1M. Prices are in USD and can be paid in DIEM at parity."},{"q":"What is the MiMo-V2.5 model ID?","a":"Use `xiaomi-mimo-v2-5` as the `model` parameter."},{"q":"Is the MiMo-V2.5 API private?","a":"MiMo-V2.5 is private: requests run on infrastructure Venice controls with zero data retention, and prompts and outputs are never stored or used for training."},{"q":"What is the context window of MiMo-V2.5?","a":"1M tokens of context, with up to 64K output tokens per response."},{"q":"What does MiMo-V2.5 support?","a":"MiMo-V2.5 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)."},{"q":"Which endpoint does the MiMo-V2.5 API use?","a":"Call `POST /chat/completions`. `/responses` (Alpha) is also supported."}]}} />

<div className="vx-static">
  <Accordion title="Plain-text specification">
    # MiMo-V2.5 API

    MiMo-V2.5 is a large language model by Xiaomi, available on the Venice API as `xiaomi-mimo-v2-5`. It runs privately, with zero data retention.

    MiMo-V2.5 is Xiaomi's native omnimodal model with strong agentic capabilities, supporting text, image, video, and audio understanding in a unified architecture. Built on a sparse Mixture-of-Experts backbone with 310B total and 15B active parameters, it delivers long-context reasoning up to 1M tokens, function calling, and multimodal perception.

    ## MiMo-V2.5 API pricing

    | Model ID | Variant | Privacy | Price |
    | - | - | - | - |
    | `xiaomi-mimo-v2-5` | Standard | Private | $0.40 input / $2.00 output per 1M tokens |

    ## MiMo-V2.5 specifications

    | Spec | Value |
    | - | - |
    | Provider | Xiaomi |
    | Released | Jun 11, 2026 |
    | Privacy | Private |
    | Open weights | Yes |
    | Context window | 1M tokens |
    | Max output | 64K tokens |
    | Reasoning effort | none, low, medium, high |
    | Served precision | FP8 |

    ## How to use the MiMo-V2.5 API

    Send requests to `POST https://api.venice.ai/api/v1/chat/completions` with `"model": "xiaomi-mimo-v2-5"` 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": "xiaomi-mimo-v2-5",
        "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }],
        "reasoning_effort": "high"
      }'
    ```

    ## MiMo-V2.5 API FAQ

    ### How much does the MiMo-V2.5 API cost?

    $0.40 per 1M input tokens and $2.00 per 1M output tokens, with cached input at \$0.08 per 1M. Prices are in USD and can be paid in DIEM at parity.

    ### What is the MiMo-V2.5 model ID?

    Use `xiaomi-mimo-v2-5` as the `model` parameter.

    ### Is the MiMo-V2.5 API private?

    MiMo-V2.5 is private: requests run on infrastructure Venice controls with zero data retention, and prompts and outputs are never stored or used for training.

    ### What is the context window of MiMo-V2.5?

    1M tokens of context, with up to 64K output tokens per response.

    ### What does MiMo-V2.5 support?

    MiMo-V2.5 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 MiMo-V2.5 API use?

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

    ## Related models

    * [Qwen 3.7 Plus API](/models/qwen-3-7-plus): $0.50 input / $2.00 output per 1M tokens
    * [Venice Role Play Uncensored API](/models/venice-role-play-uncensored): $0.50 input / $2.00 output per 1M tokens
    * [MiniMax M2.7 API](/models/minimax-m2-7): $0.38 input / $1.50 output per 1M tokens
    * [Gemini 3.5 Flash-Lite API](/models/gemini-3-5-flash-lite): $0.38 input / $3.13 output per 1M tokens
  </Accordion>
</div>


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