> ## 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.

# OpenAI GPT OSS 120B API

> OpenAI GPT OSS 120B API on Venice: 125K context, $0.07 input and $0.30 output per 1M tokens. Private and end-to-end encrypted variants.

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 ${res.status}`);
        return res.json();
      }).catch(err => i + 1 < urls.length ? load(i + 1) : Promise.reject(err));
      const Frag = <></>.type;
      const h = (type, props, ...kids) => {
        const T = type;
        const {key, ...rest} = props || ({});
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        if (kids.length === 1) return <T key={key} {...rest}>{kids[0]}</T>;
        return <T key={key} {...rest}>{kids.map((kid, i) => <Frag key={i}>{kid}</Frag>)}</T>;
      };
      w.__veniceModelHub = load(0).then(bundle => new Function(`return (${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":"openai-gpt-oss-120b","name":"OpenAI GPT OSS 120B","modality":"text","task":"chat","provider":"openai","description":"gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. 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The E2EE variant costs $0.13 input and $0.65 output. Prices are in USD and can be paid in DIEM at parity."},{"q":"What is the OpenAI GPT OSS 120B model ID?","a":"Use `openai-gpt-oss-120b` as the `model` parameter. Other variants: `e2ee-gpt-oss-120b-p` (E2EE)."},{"q":"Is the OpenAI GPT OSS 120B API private?","a":"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."},{"q":"What is the context window of OpenAI GPT OSS 120B?","a":"125K tokens of context, with up to 16K output tokens per response."},{"q":"What does OpenAI GPT OSS 120B support?","a":"OpenAI GPT OSS 120B supports function calling, reasoning and web search. Reasoning effort is adjustable with `reasoning_effort`: none, low, medium and high (default low)."},{"q":"Which endpoint does the OpenAI GPT OSS 120B API use?","a":"Call `POST /chat/completions`. `/responses` (Alpha) is also supported."}]}} />

<div className="vx-static">
  <Accordion title="Plain-text specification">
    # OpenAI GPT OSS 120B API

    OpenAI GPT OSS 120B is a large language model by OpenAI, available on the Venice API as `openai-gpt-oss-120b`. Private and end-to-end encrypted variants are available.

    gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation

    ## OpenAI GPT OSS 120B API pricing

    | Model ID | Variant | Privacy | Price |
    | - | - | - | - |
    | `openai-gpt-oss-120b` | Standard | Private | $0.07 input / $0.30 output per 1M tokens |
    | `e2ee-gpt-oss-120b-p` | E2EE | End-to-end encrypted | $0.13 input / $0.65 output per 1M tokens |

    ## OpenAI GPT OSS 120B specifications

    | Spec | Value |
    | - | - |
    | Provider | OpenAI |
    | Released | Nov 6, 2025 |
    | Privacy | Private, End-to-end encrypted |
    | Open weights | Yes |
    | License | Apache 2.0 |
    | Context window | 125K tokens |
    | Max output | 16K tokens |
    | Reasoning effort | none, low, medium, high |

    ## How to use the OpenAI GPT OSS 120B API

    Send requests to `POST https://api.venice.ai/api/v1/chat/completions` with `"model": "openai-gpt-oss-120b"` 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": "openai-gpt-oss-120b",
        "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }],
        "reasoning_effort": "low"
      }'
    ```

    ## OpenAI GPT OSS 120B API FAQ

    ### How much does the OpenAI GPT OSS 120B API cost?

    $0.07 per 1M input tokens and $0.30 per 1M output tokens. The E2EE variant costs $0.13 input and $0.65 output. Prices are in USD and can be paid in DIEM at parity.

    ### What is the OpenAI GPT OSS 120B model ID?

    Use `openai-gpt-oss-120b` as the `model` parameter. Other variants: `e2ee-gpt-oss-120b-p` (E2EE).

    ### Is the OpenAI GPT OSS 120B 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 OpenAI GPT OSS 120B?

    125K tokens of context, with up to 16K output tokens per response.

    ### What does OpenAI GPT OSS 120B support?

    OpenAI GPT OSS 120B supports function calling, reasoning and web search. Reasoning effort is adjustable with `reasoning_effort`: none, low, medium and high (default low).

    ### Which endpoint does the OpenAI GPT OSS 120B API use?

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

    ## Related models

    * [Google Gemma 3 27B Instruct API](/models/google-gemma-3-27b-instruct): $0.12 input / $0.20 output per 1M tokens
    * [Mistral Small 3.2 24B Instruct API](/models/mistral-small-3-2-24b-instruct): $0.09 input / $0.25 output per 1M tokens
    * [NVIDIA Nemotron 3 Nano 30B API](/models/nvidia-nemotron-3-nano-30b): $0.07 input / $0.30 output per 1M tokens
    * [GLM 4.7 Flash API](/models/glm-4-7-flash): $0.06 input / $0.40 output per 1M tokens
  </Accordion>
</div>


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