> ## 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.

# GPT-5.5 Pro API

> GPT-5.5 Pro API on Venice: 1M context, $37.50 input and $225 output per 1M tokens. Anonymized access without your identity. Pricing, specs and code examples.

export const HubMount = ({view, children, ...props}) => {
  const [hub, setHub] = useState(null);
  const [failed, setFailed] = useState(false);
  useEffect(() => {
    let alive = true;
    const w = window;
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      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);
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    return () => {
      alive = false;
    };
  }, []);
  const View = hub ? hub[view] : null;
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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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  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":"gpt-5-5-pro","name":"GPT-5.5 Pro","modality":"text","task":"chat","provider":"openai","description":"GPT-5.5 Pro is OpenAI's most advanced model, building on GPT-5.5's unified architecture with enhanced reasoning for complex, high-stakes tasks. It provides a 1M+ token context window (922K input, 128K output) and supports text and image inputs.","primary":"openai-gpt-55-pro","variants":["openai-gpt-55-pro"],"created":1776988800,"updated":1776988800,"privacy":["anonymized"]},"models":[{"id":"openai-gpt-55-pro","name":"GPT-5.5 Pro","type":"text","modality":"text","task":"chat","variant":"standard","provider":"openai","created":1776988800,"description":"GPT-5.5 Pro is OpenAI's most advanced model, building on GPT-5.5's unified architecture with enhanced reasoning for complex, high-stakes tasks. It provides a 1M+ token context window (922K input, 128K output) and supports text and image inputs.","source":"https://developers.openai.com/api/docs/models/gpt-5.5-pro","privacy":"anonymized","text":{"context":1000000,"maxOutput":128000,"reasoning":{"supported":true,"effort":["medium","high","xhigh"],"defaultEffort":"medium"},"caps":{"tools":true,"structured":true,"vision":true,"maxImages":10,"webSearch":true}},"pricing":{"input":37.5,"output":225,"blended":84.375},"headline":{"value":84.375,"unit":"per 1M tokens","basis":"blended"},"endpoints":[{"id":"chat","method":"POST","path":"/chat/completions","name":"Chat Completions","status":"stable"},{"id":"responses","method":"POST","path":"/responses","name":"Responses","status":"alpha","recommended":true,"recommendation":"Pro and Codex models are Responses-native upstream. Use /responses for typed reasoning, tool-call and message items; /chat/completions stays fully supported."}],"family":"gpt-5-5-pro"}],"related":{"similar":[{"slug":"gpt-5-4-pro","name":"GPT-5.4 Pro","provider":"openai","modality":"text","privacy":["anonymized"],"created":1772668800,"headline":{"value":84.375,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"claude-fable-5","name":"Claude Fable 5","provider":"anthropic","modality":"text","privacy":["anonymized"],"created":1781049600,"headline":{"value":24,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"claude-fable-5-1","name":"Claude Fable 5.1","provider":"anthropic","modality":"text","privacy":["anonymized"],"created":1787961600,"headline":{"value":24,"unit":"per 1M tokens","basis":"blended"},"variants":1},{"slug":"gpt-6-astra-pro","name":"GPT-6 Astra Pro","provider":"openai","modality":"text","privacy":["anonymized"],"created":1788566400,"headline":{"value":25,"unit":"per 1M tokens","basis":"blended"},"variants":1}],"versions":[{"slug":"gpt-5-4-pro","name":"GPT-5.4 Pro","provider":"openai","modality":"text","privacy":["anonymized"],"created":1772668800,"headline":{"value":84.375,"unit":"per 1M tokens","basis":"blended"},"variants":1}]},"providers":{"openai":{"slug":"openai","name":"OpenAI","logo":"/images/icons/models/openai.svg"},"anthropic":{"slug":"anthropic","name":"Anthropic","logo":"/images/icons/models/opus.svg"}},"faq":[{"q":"How much does the GPT-5.5 Pro API cost?","a":"$37.50 per 1M input tokens and $225 per 1M output tokens. Prices are in USD and can be paid in DIEM at parity."},{"q":"What is the GPT-5.5 Pro model ID?","a":"Use `openai-gpt-55-pro` as the `model` parameter."},{"q":"Is the GPT-5.5 Pro API private?","a":"GPT-5.5 Pro is anonymized: Venice forwards requests to the provider without your identity, but the provider may retain prompt data, so use a private model for sensitive work."},{"q":"What is the context window of GPT-5.5 Pro?","a":"1M tokens of context, with up to 125K output tokens per response."},{"q":"What does GPT-5.5 Pro support?","a":"GPT-5.5 Pro supports function calling, structured outputs, reasoning, image input and web search. Reasoning effort is adjustable with `reasoning_effort`: medium, high and xhigh (default medium)."},{"q":"Which endpoint does the GPT-5.5 Pro API use?","a":"Call `POST /responses`. `/chat/completions` is also supported. Pro and Codex models are Responses-native upstream. Use /responses for typed reasoning, tool-call and message items; /chat/completions stays fully supported."}]}} />

<div className="vx-static">
  <Accordion title="Plain-text specification">
    # GPT-5.5 Pro API

    GPT-5.5 Pro is a large language model by OpenAI, available on the Venice API as `openai-gpt-55-pro`. Requests are anonymized, so the provider never sees your identity.

    GPT-5.5 Pro is OpenAI's most advanced model, building on GPT-5.5's unified architecture with enhanced reasoning for complex, high-stakes tasks. It provides a 1M+ token context window (922K input, 128K output) and supports text and image inputs.

    ## GPT-5.5 Pro API pricing

    | Model ID | Variant | Privacy | Price |
    | - | - | - | - |
    | `openai-gpt-55-pro` | Standard | Anonymized | $37.50 input / $225.00 output per 1M tokens |

    ## GPT-5.5 Pro specifications

    | Spec | Value |
    | - | - |
    | Provider | OpenAI |
    | Released | Apr 24, 2026 |
    | Privacy | Anonymized |
    | Context window | 1M tokens |
    | Max output | 125K tokens |
    | Reasoning effort | medium, high, xhigh |

    ## How to use the GPT-5.5 Pro API

    Send requests to `POST https://api.venice.ai/api/v1/responses` with `"model": "openai-gpt-55-pro"` and your API key.

    ```bash theme={null}
    curl https://api.venice.ai/api/v1/responses \
      -H "Authorization: Bearer $VENICE_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "openai-gpt-55-pro",
        "input": "Explain TEE attestation in two sentences.",
        "reasoning": { "effort": "medium" }
      }'
    ```

    ## GPT-5.5 Pro API FAQ

    ### How much does the GPT-5.5 Pro API cost?

    $37.50 per 1M input tokens and $225 per 1M output tokens. Prices are in USD and can be paid in DIEM at parity.

    ### What is the GPT-5.5 Pro model ID?

    Use `openai-gpt-55-pro` as the `model` parameter.

    ### Is the GPT-5.5 Pro API private?

    GPT-5.5 Pro is anonymized: Venice forwards requests to the provider without your identity, but the provider may retain prompt data, so use a private model for sensitive work.

    ### What is the context window of GPT-5.5 Pro?

    1M tokens of context, with up to 125K output tokens per response.

    ### What does GPT-5.5 Pro support?

    GPT-5.5 Pro supports function calling, structured outputs, reasoning, image input and web search. Reasoning effort is adjustable with `reasoning_effort`: medium, high and xhigh (default medium).

    ### Which endpoint does the GPT-5.5 Pro API use?

    Call `POST /responses`. `/chat/completions` is also supported. Pro and Codex models are Responses-native upstream. Use /responses for typed reasoning, tool-call and message items; /chat/completions stays fully supported.

    ## Related models

    * [GPT-5.4 Pro API](/models/gpt-5-4-pro): $37.50 input / $225.00 output per 1M tokens
    * [Claude Fable 5 API](/models/claude-fable-5): $12.00 input / $60.00 output per 1M tokens
    * [Claude Fable 5.1 API](/models/claude-fable-5-1): $12.00 input / $60.00 output per 1M tokens
    * [GPT-6 Astra Pro API](/models/gpt-6-astra-pro): $12.50 input / $62.50 output per 1M tokens
  </Accordion>
</div>


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