> ## 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.

# Qwen3 VL 30B A3B API

> Qwen3 VL 30B A3B API on Venice: 125K context, $0.25 input and $0.90 output per 1M tokens. End-to-end encrypted. Supports function calling and vision.

export const HubMount = ({view, children, ...props}) => {
  const [hub, setHub] = useState(null);
  const [failed, setFailed] = useState(false);
  useEffect(() => {
    let alive = true;
    const w = window;
    if (!w.__veniceModelHub) {
      const urls = w.location.hostname === 'localhost' ? ['http://localhost:3333/data/model-hub.bundle.json', '/data/model-hub.bundle.json'] : ['/data/model-hub.bundle.json'];
      const load = i => fetch(urls[i], {
        cache: 'no-cache'
      }).then(res => {
        if (!res.ok) throw new Error(`bundle ${res.status}`);
        return res.json();
      }).catch(err => i + 1 < urls.length ? load(i + 1) : Promise.reject(err));
      const Frag = <></>.type;
      const h = (type, props, ...kids) => {
        const T = type;
        const {key, ...rest} = props || ({});
        if (!kids.length) return <T key={key} {...rest} />;
        if (kids.length === 1) return <T key={key} {...rest}>{kids[0]}</T>;
        return <T key={key} {...rest}>{kids.map((kid, i) => <Frag key={i}>{kid}</Frag>)}</T>;
      };
      w.__veniceModelHub = load(0).then(bundle => new Function(`return (${bundle.code})`)()({
        h,
        Fragment: Frag,
        useState,
        useEffect,
        useRef,
        useMemo,
        useCallback
      }));
    }
    w.__veniceModelHub.then(instance => {
      if (alive) setHub(instance);
    }).catch(() => {
      w.__veniceModelHub = null;
      if (alive) setFailed(true);
    });
    return () => {
      alive = false;
    };
  }, []);
  const View = hub ? hub[view] : null;
  if (View) return <View {...props}>{children}</View>;
  if (failed) {
    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>;
  }
  return <div className="vx-mount" aria-busy="true">
      <div className="vx-mount-skeleton" aria-hidden="true"><span /><span /><span /></div>
      <div className="vx-mount-source">{children}</div>
    </div>;
};

<HubMount view="ModelPage" data={{"family":{"slug":"qwen3-vl-30b-a3b","name":"Qwen3 VL 30B A3B","modality":"text","task":"chat","provider":"alibaba","description":"Qwen3 VL 30B A3B running in a Trusted Execution Environment (TEE). A multimodal model unifying text generation with visual understanding for images and videos, with hardware attestation evidence available for independent verification.","primary":"e2ee-qwen3-vl-30b-a3b-p","variants":["e2ee-qwen3-vl-30b-a3b-p"],"created":1773792000,"updated":1773792000,"privacy":["e2ee"],"openWeights":true},"models":[{"id":"e2ee-qwen3-vl-30b-a3b-p","name":"Qwen3 VL 30B A3B","type":"text","modality":"text","task":"chat","variant":"e2ee","provider":"alibaba","created":1773792000,"description":"Qwen3 VL 30B A3B running in a Trusted Execution Environment (TEE). A multimodal model unifying text generation with visual understanding for images and videos, with hardware attestation evidence available for independent verification.","source":"https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct","privacy":"e2ee","openWeights":true,"text":{"context":128000,"maxOutput":4096,"caps":{"tools":true,"vision":true,"maxImages":1,"webSearch":true,"e2ee":true,"tee":true}},"pricing":{"input":0.25,"output":0.9,"blended":0.4125},"headline":{"value":0.4125,"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","note":"E2EE models require /chat/completions with E2EE headers."}],"family":"qwen3-vl-30b-a3b"}],"related":{"similar":[{"slug":"minimax-m2-5","name":"MiniMax M2.5","provider":"minimax","modality":"text","privacy":["private"],"created":1770854400,"headline":{"value":0.44,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"venice-uncensored-1-2","name":"Venice Uncensored 1.2","provider":"mistral","modality":"text","privacy":["private"],"created":1775001600,"headline":{"value":0.375,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"mercury-2","name":"Mercury 2","provider":"inception","modality":"text","privacy":["anonymized"],"created":1771545600,"headline":{"value":0.46875,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"gemma-4-26b-a4b-uncensored","name":"Gemma 4 26B A4B Uncensored","provider":"google","modality":"text","privacy":["e2ee"],"created":1779580800,"headline":{"value":0.3625,"unit":"per 1M tokens","basis":"blended"},"variants":1}],"versions":[]},"providers":{"alibaba":{"slug":"alibaba","name":"Alibaba Qwen","logo":"/images/icons/models/qwen.svg"},"minimax":{"slug":"minimax","name":"MiniMax","logo":"/images/icons/models/minimax.svg"},"mistral":{"slug":"mistral","name":"Mistral AI","logo":"/images/icons/models/mistral.svg"},"inception":{"slug":"inception","name":"Inception","logo":"/images/icons/models/inception.svg"},"google":{"slug":"google","name":"Google","logo":"/images/icons/models/google.svg"}},"faq":[{"q":"How much does the Qwen3 VL 30B A3B API cost?","a":"$0.25 per 1M input tokens and $0.90 per 1M output tokens. Prices are in USD and can be paid in DIEM at parity."},{"q":"What is the Qwen3 VL 30B A3B model ID?","a":"Use `e2ee-qwen3-vl-30b-a3b-p` as the `model` parameter."},{"q":"Is the Qwen3 VL 30B A3B API private?","a":"Qwen3 VL 30B A3B 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."},{"q":"What is the context window of Qwen3 VL 30B A3B?","a":"125K tokens of context, with up to 4K output tokens per response."},{"q":"What does Qwen3 VL 30B A3B support?","a":"Qwen3 VL 30B A3B supports function calling, image input and web search."},{"q":"Which endpoint does the Qwen3 VL 30B A3B API use?","a":"Call `POST /chat/completions`."}]}} />

<div className="vx-static">
  <Accordion title="Plain-text specification">
    # Qwen3 VL 30B A3B API

    Qwen3 VL 30B A3B is a large language model by Alibaba Qwen, available on the Venice API as `e2ee-qwen3-vl-30b-a3b-p`. It is end-to-end encrypted.

    Qwen3 VL 30B A3B running in a Trusted Execution Environment (TEE). A multimodal model unifying text generation with visual understanding for images and videos, with hardware attestation evidence available for independent verification.

    ## Qwen3 VL 30B A3B API pricing

    | Model ID | Variant | Privacy | Price |
    | - | - | - | - |
    | `e2ee-qwen3-vl-30b-a3b-p` | E2EE | End-to-end encrypted | $0.25 input / $0.90 output per 1M tokens |

    ## Qwen3 VL 30B A3B specifications

    | Spec | Value |
    | - | - |
    | Provider | Alibaba Qwen |
    | Released | Mar 18, 2026 |
    | Privacy | End-to-end encrypted |
    | Open weights | Yes |
    | Context window | 125K tokens |
    | Max output | 4K tokens |

    ## How to use the Qwen3 VL 30B A3B API

    Send requests to `POST https://api.venice.ai/api/v1/chat/completions` with `"model": "e2ee-qwen3-vl-30b-a3b-p"` 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": "e2ee-qwen3-vl-30b-a3b-p",
        "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }]
      }'
    ```

    ## Qwen3 VL 30B A3B API FAQ

    ### How much does the Qwen3 VL 30B A3B API cost?

    $0.25 per 1M input tokens and $0.90 per 1M output tokens. Prices are in USD and can be paid in DIEM at parity.

    ### What is the Qwen3 VL 30B A3B model ID?

    Use `e2ee-qwen3-vl-30b-a3b-p` as the `model` parameter.

    ### Is the Qwen3 VL 30B A3B API private?

    Qwen3 VL 30B A3B 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 Qwen3 VL 30B A3B?

    125K tokens of context, with up to 4K output tokens per response.

    ### What does Qwen3 VL 30B A3B support?

    Qwen3 VL 30B A3B supports function calling, image input and web search.

    ### Which endpoint does the Qwen3 VL 30B A3B API use?

    Call `POST /chat/completions`.

    ## Related models

    * [MiniMax M2.5 API](/models/minimax-m2-5): $0.27 input / $0.95 output per 1M tokens
    * [Venice Uncensored 1.2 API](/models/venice-uncensored-1-2): $0.20 input / $0.90 output per 1M tokens
    * [Mercury 2 API](/models/mercury-2): $0.31 input / $0.94 output per 1M tokens
    * [Gemma 4 26B A4B Uncensored API](/models/gemma-4-26b-a4b-uncensored): $0.19 input / $0.88 output per 1M tokens
  </Accordion>
</div>


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