Gemini 1.5 is a multimodal large language model (LLM) developed by Google DeepMind, succeeding the earlier Gemini 1.0 models. It is designed to process and reason across multiple data types, including text, code, images, audio, and video. Gemini 1.5 introduces a breakthrough in long-context understanding, with a standard context window of 128,000 tokens and an experimental version supporting up to 1 million tokens. The model is optimized for complex reasoning tasks, multilingual capabilities, and efficient deployment across various platforms, from data centers to mobile devices. It is available in different sizes, including Ultra, Pro, and Nano, to cater to diverse use cases and computational requirements. Model card: https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf#page=105
Weighted across four pillars · updated January 25, 2026
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