The Gemini 2.X series are all built to be natively multimodal, supporting long context inputs of >1 million tokens and have native tool use support
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Taken together, the Gemini 2.X model generation spans the full Pareto frontier of model capability vs cost, allowing users to explore the boundaries of what is possible
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Together with advancements in long-context abilities, architectural changes to Gemini 2.5 vision processing lead to a considerable improvement in image and video understanding capabilities
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While Gemini 1.5 was focused on native audio understanding tasks such as transcription, translation, summarization and question-answering, in addition to understanding, Gemini 2.5 was trained to perform audio generation tasks
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We have significantly expanded both our pretraining and post-training video understanding data, improving the audio-visual and temporal understanding capabilities of the model
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