> ## 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.

# Gemma 4 Uncensored API

> Gemma 4 Uncensored API on Venice: 250K context, $0.16 input and $0.50 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);
  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":"gemma-4-uncensored","name":"Gemma 4 Uncensored","modality":"text","task":"chat","provider":"google","description":"Gemma 4 Uncensored is an uncensored variant of Google Gemma 4 26B, a Mixture-of-Experts model with 26B total parameters and only 4B active per token. Fine-tuned for uncensored chat without content filtering, it supports 256K context, coding, and general-purpose conversation.","primary":"gemma-4-uncensored","variants":["gemma-4-uncensored"],"created":1776038400,"updated":1776038400,"privacy":["private"],"uncensored":true,"openWeights":true},"models":[{"id":"gemma-4-uncensored","name":"Gemma 4 Uncensored","type":"text","modality":"text","task":"chat","variant":"standard","provider":"google","created":1776038400,"description":"Gemma 4 Uncensored is an uncensored variant of Google Gemma 4 26B, a Mixture-of-Experts model with 26B total parameters and only 4B active per token. Fine-tuned for uncensored chat without content filtering, it supports 256K context, coding, and general-purpose conversation.","source":"https://huggingface.co/Jiunsong/supergemma4-26b-uncensored-gguf-v2","privacy":"private","uncensored":true,"openWeights":true,"text":{"context":256000,"maxOutput":8192,"quantization":"int4","caps":{"tools":true,"structured":true,"vision":true,"maxImages":1,"webSearch":true,"logprobs":true}},"pricing":{"input":0.1625,"output":0.5,"blended":0.246875},"headline":{"value":0.246875,"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":"gemma-4-uncensored"}],"related":{"similar":[{"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},{"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":"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}],"versions":[]},"providers":{"google":{"slug":"google","name":"Google","logo":"/images/icons/models/google.svg"},"zai":{"slug":"zai","name":"Z.ai","logo":"/images/icons/models/Zhipu.svg"},"openai":{"slug":"openai","name":"OpenAI","logo":"/images/icons/models/openai.svg"},"deepseek":{"slug":"deepseek","name":"DeepSeek","logo":"/images/icons/models/deepseek.svg"},"alibaba":{"slug":"alibaba","name":"Alibaba Qwen","logo":"/images/icons/models/qwen.svg"}},"faq":[{"q":"How much does the Gemma 4 Uncensored API cost?","a":"$0.16 per 1M input tokens and $0.50 per 1M output tokens. Prices are in USD and can be paid in DIEM at parity."},{"q":"What is the Gemma 4 Uncensored model ID?","a":"Use `gemma-4-uncensored` as the `model` parameter."},{"q":"Is the Gemma 4 Uncensored API private?","a":"Gemma 4 Uncensored 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 Gemma 4 Uncensored?","a":"250K tokens of context, with up to 8K output tokens per response."},{"q":"What does Gemma 4 Uncensored support?","a":"Gemma 4 Uncensored supports function calling, structured outputs, image input and web search."},{"q":"Which endpoint does the Gemma 4 Uncensored API use?","a":"Call `POST /chat/completions`. `/responses` (Alpha) is also supported."}]}} />

<div className="vx-static">
  <Accordion title="Plain-text specification">
    # Gemma 4 Uncensored API

    Gemma 4 Uncensored is a large language model by Google, available on the Venice API as `gemma-4-uncensored`. It runs privately, with zero data retention.

    Gemma 4 Uncensored is an uncensored variant of Google Gemma 4 26B, a Mixture-of-Experts model with 26B total parameters and only 4B active per token. Fine-tuned for uncensored chat without content filtering, it supports 256K context, coding, and general-purpose conversation.

    ## Gemma 4 Uncensored API pricing

    | Model ID | Variant | Privacy | Price |
    | - | - | - | - |
    | `gemma-4-uncensored` | Standard | Private | $0.16 input / $0.50 output per 1M tokens |

    ## Gemma 4 Uncensored specifications

    | Spec | Value |
    | - | - |
    | Provider | Google |
    | Released | Apr 13, 2026 |
    | Privacy | Private |
    | Open weights | Yes |
    | Context window | 250K tokens |
    | Max output | 8K tokens |
    | Served precision | INT4 |

    ## How to use the Gemma 4 Uncensored API

    Send requests to `POST https://api.venice.ai/api/v1/chat/completions` with `"model": "gemma-4-uncensored"` 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": "gemma-4-uncensored",
        "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }]
      }'
    ```

    ## Gemma 4 Uncensored API FAQ

    ### How much does the Gemma 4 Uncensored API cost?

    $0.16 per 1M input tokens and $0.50 per 1M output tokens. Prices are in USD and can be paid in DIEM at parity.

    ### What is the Gemma 4 Uncensored model ID?

    Use `gemma-4-uncensored` as the `model` parameter.

    ### Is the Gemma 4 Uncensored API private?

    Gemma 4 Uncensored 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 Gemma 4 Uncensored?

    250K tokens of context, with up to 8K output tokens per response.

    ### What does Gemma 4 Uncensored support?

    Gemma 4 Uncensored supports function calling, structured outputs, image input and web search.

    ### Which endpoint does the Gemma 4 Uncensored API use?

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

    ## Related models

    * [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
    * [DeepSeek V4 Flash 0731 API](/models/deepseek-v4-flash-0731): $0.17 input / $0.35 output per 1M tokens
    * [Qwen 3.8 Flash API](/models/qwen-3-8-flash): $0.14 input / $0.49 output per 1M tokens
  </Accordion>
</div>


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