> ## Documentation Index
> Fetch the complete documentation index at: https://developer.box.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Google Gemini 2.5 Pro
export const MultiRelatedLinks = ({sections = []}) => {
if (!sections || sections.length === 0) {
return null;
}
return
;
};
export const Link = ({href, children, className, ...props}) => {
const [localizedHref, setLocalizedHref] = useState(href);
const supportedLocales = useMemo(() => ['ja'], []);
useEffect(() => {
const getLocaleFromPath = path => {
const match = path.match(/^\/([a-z]{2})(?:\/|$)/);
if (match) {
const potentialLocale = match[1];
if (supportedLocales.includes(potentialLocale)) {
return potentialLocale;
}
}
return null;
};
const hasLocalePrefix = path => {
const match = path.match(/^\/([a-z]{2})(?:\/|$)/);
return match ? supportedLocales.includes(match[1]) : false;
};
const currentPath = window.location.pathname;
const currentLocale = getLocaleFromPath(currentPath);
if (href && href.startsWith('/') && !hasLocalePrefix(href)) {
if (currentLocale) {
setLocalizedHref(`/${currentLocale}${href}`);
} else {
setLocalizedHref(href);
}
} else {
setLocalizedHref(href);
}
}, [href, supportedLocales]);
return
{children}
;
};
**Google Gemini 2.5 Pro** is a multimodal model capable of solving complex problems. It can comprehend vast datasets and challenging problems from different information sources, including text, audio, images, video, and even entire code repositories.
## Model details
| Item | Value | Description |
| --------------------- | ------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Model name | **Google Gemini 2.5 Pro** | The name of the model. |
| Model category | **Premium** | The category of the model: Standard or Premium. |
| API model name | `google__gemini_2_5_pro` | The name of the model that is used in the Box AI API for model overrides. The user must provide this exact name for the API to work. |
| Hosting layer | **Google** | The trusted organization that securely hosts LLM. |
| Model provider | **Google** | The organization that provides this model. |
| Release date | **June 17th 2025** | The release date for the model. |
| Knowledge cutoff date | **January 2025** | The date after which the model does not get any information updates. |
| Input context window | **1m tokens** | The number of tokens supported by the input context window. |
| Maximum output tokens | **65k tokens** | The number of tokens that can be generated by the model in a single request. |
| Empirical throughput | **Not specified** | The number of tokens the model can generate per second. |
| Open source | **No** | Specifies if the model's code is available for public use. |
## Additional documentation
For additional information, see [official Google Gemini 2.5 Pro documentation][vertex-ai-gemini-2-5-pro].
[vertex-ai-gemini-2-5-pro]: https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini/2-5-pro