> ## 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-V2.6-Flash API

> MiMo-V2.6-Flash API on Venice: 1M context, $0.17 input and $0.35 output per 1M tokens. Private, with zero data retention. Pricing, specs and code examples.

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<HubMount view="ModelPage" data={{"family":{"slug":"mimo-v2-6-flash","name":"MiMo-V2.6-Flash","modality":"text","task":"chat","provider":"xiaomi","description":"MiMo-V2.6-Flash is Xiaomi's efficiency-balanced omnimodal model: a sparse Mixture-of-Experts with 309B total and 15B activated parameters, natively understanding text, image, video, and audio with a 1M-token context window. Trained with mixed reinforcement learning across coding, general agents, visual, and cybersecurity tasks, it is built for long-horizon coding, tool use, and computer use.","primary":"xiaomi-mimo-v2-6-flash","variants":["xiaomi-mimo-v2-6-flash"],"created":1790553600,"updated":1790553600,"privacy":["private"],"openWeights":true},"models":[{"id":"xiaomi-mimo-v2-6-flash","name":"MiMo-V2.6-Flash","type":"text","modality":"text","task":"chat","variant":"standard","provider":"xiaomi","created":1790553600,"description":"MiMo-V2.6-Flash is Xiaomi's efficiency-balanced omnimodal model: a sparse Mixture-of-Experts with 309B total and 15B activated parameters, natively understanding text, image, video, and audio with a 1M-token context window. Trained with mixed reinforcement learning across coding, general agents, visual, and cybersecurity tasks, it is built for long-horizon coding, tool use, and computer use.","source":"https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL","privacy":"private","openWeights":true,"text":{"context":1000000,"maxOutput":131072,"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":0.175,"output":0.35,"cacheRead":0.00375,"blended":0.21875},"headline":{"value":0.21875,"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-v2-6-flash"}],"related":{"similar":[{"slug":"qwen-3-8-flash","name":"Qwen 3.8 Flash","provider":"alibaba","modality":"text","privacy":["anonymized"],"created":1788998400,"headline":{"value":0.2275,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"deepseek-v4-flash-0731","name":"DeepSeek V4 Flash 0731","provider":"deepseek","modality":"text","privacy":["private"],"created":1785456000,"headline":{"value":0.21875,"unit":"per 1M tokens","basis":"blended"},"variants":2},{"slug":"glm-5-3-flash","name":"GLM 5.3 Flash","provider":"zai","modality":"text","privacy":["private","e2ee"],"created":1787270400,"headline":{"value":0.2375,"unit":"per 1M tokens","basis":"blended"},"variants":2},{"slug":"gpt-6-luna","name":"GPT-6 Luna","provider":"openai","modality":"text","privacy":["anonymized"],"created":1790035200,"headline":{"value":0.25,"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"},"deepseek":{"slug":"deepseek","name":"DeepSeek","logo":"/images/icons/models/deepseek.svg"},"zai":{"slug":"zai","name":"Z.ai","logo":"/images/icons/models/Zhipu.svg"},"openai":{"slug":"openai","name":"OpenAI","logo":"/images/icons/models/openai.svg"}},"faq":[{"q":"How much does the MiMo-V2.6-Flash API cost?","a":"$0.17 per 1M input tokens and $0.35 per 1M output tokens, with cached input at $0.0037 per 1M. Prices are in USD and can be paid in DIEM at parity."},{"q":"What is the MiMo-V2.6-Flash model ID?","a":"Use `xiaomi-mimo-v2-6-flash` as the `model` parameter."},{"q":"Is the MiMo-V2.6-Flash API private?","a":"MiMo-V2.6-Flash 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-V2.6-Flash?","a":"1M tokens of context, with up to 128K output tokens per response."},{"q":"What does MiMo-V2.6-Flash support?","a":"MiMo-V2.6-Flash 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-V2.6-Flash API use?","a":"Call `POST /chat/completions`. `/responses` (Alpha) is also supported."}]}} />

<div className="vx-static">
  <Accordion title="Plain-text specification">
    # MiMo-V2.6-Flash API

    MiMo-V2.6-Flash is a large language model by Xiaomi, available on the Venice API as `xiaomi-mimo-v2-6-flash`. It runs privately, with zero data retention.

    MiMo-V2.6-Flash is Xiaomi's efficiency-balanced omnimodal model: a sparse Mixture-of-Experts with 309B total and 15B activated parameters, natively understanding text, image, video, and audio with a 1M-token context window. Trained with mixed reinforcement learning across coding, general agents, visual, and cybersecurity tasks, it is built for long-horizon coding, tool use, and computer use.

    ## MiMo-V2.6-Flash API pricing

    | Model ID | Variant | Privacy | Price |
    | - | - | - | - |
    | `xiaomi-mimo-v2-6-flash` | Standard | Private | $0.17 input / $0.35 output per 1M tokens |

    ## MiMo-V2.6-Flash specifications

    | Spec | Value |
    | - | - |
    | Provider | Xiaomi |
    | Released | Sep 28, 2026 |
    | Privacy | Private |
    | Open weights | Yes |
    | Context window | 1M tokens |
    | Max output | 128K tokens |
    | Reasoning effort | none, low, medium, high |
    | Served precision | FP8 |

    ## How to use the MiMo-V2.6-Flash API

    Send requests to `POST https://api.venice.ai/api/v1/chat/completions` with `"model": "xiaomi-mimo-v2-6-flash"` 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-v2-6-flash",
        "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }],
        "reasoning_effort": "high"
      }'
    ```

    ## MiMo-V2.6-Flash API FAQ

    ### How much does the MiMo-V2.6-Flash API cost?

    $0.17 per 1M input tokens and $0.35 per 1M output tokens, with cached input at \$0.0037 per 1M. Prices are in USD and can be paid in DIEM at parity.

    ### What is the MiMo-V2.6-Flash model ID?

    Use `xiaomi-mimo-v2-6-flash` as the `model` parameter.

    ### Is the MiMo-V2.6-Flash API private?

    MiMo-V2.6-Flash 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-V2.6-Flash?

    1M tokens of context, with up to 128K output tokens per response.

    ### What does MiMo-V2.6-Flash support?

    MiMo-V2.6-Flash 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-V2.6-Flash API use?

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

    ## Related models

    * [Qwen 3.8 Flash API](/models/qwen-3-8-flash): $0.14 input / $0.49 output per 1M tokens
    * [DeepSeek V4 Flash 0731 API](/models/deepseek-v4-flash-0731): $0.17 input / $0.35 output per 1M tokens
    * [GLM 5.3 Flash API](/models/glm-5-3-flash): $0.15 input / $0.50 output per 1M tokens
    * [GPT-6 Luna API](/models/gpt-6-luna): $0.13 input / $0.63 output per 1M tokens
  </Accordion>
</div>


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