Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long context capabilities, supporting millions of tokens of multimodal input. The multimodal capabilities of the model means you can interact in sophisticated ways with entire books, very long document collections, codebases of hundreds of thousands of lines across hundreds of files, full movies, entire podcast series, and more. Gemini 1.5 was built by an amazing team of people from @GoogleDeepMind, @GoogleResearch, and elsewhere at @Google. @OriolVinyals (my co-technical lead for the project) and I are incredibly proud of the whole team, and we’re so excited to be sharing this work and what long context and in-context learning can mean for you today! There’s lots of material about this, some of which are linked to below. Main blog post: blog.google/technology/ai/go… Technical report: “Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context” goo.gle/GeminiV1-5 Videos of interactions with the model that highlight its long context abilities: Understanding the three.js codebase: youtube.com/watch?v=SSnsmqIj… Analyzing a 45 minute Buster Keaton movie: youtube.com/watch?v=wa0MT8Ow… Apollo 11 transcript interaction: youtube.com/watch?v=LHKL_210… Starting today, we’re offering a limited preview of 1.5 Pro to developers and enterprise customers via AI Studio and Vertex AI. Read more about this on these blogs: Google for Developers blog: developers.googleblog.com/20… Google Cloud blog: cloud.google.com/blog/produc… We’ll also introduce 1.5 Pro with a standard 128,000 token context window when the model is ready for a wider release. Coming soon, we plan to introduce pricing tiers that start at the standard 128,000 context window and scale up to 1 million tokens, as we improve the model. Early testers can try the 1 million token context window at no cost during the testing period. We’re excited to see what developer’s creativity unlocks with a very long context window. Let me walk you through the capabilities of the model and what I’m excited about!