Gemini 1.5 Pro

Technology

An advanced AI model announced by Google, distinguished by its massive 1 million token context window, which dramatically increases the amount of information the model can process at once.


First Mentioned

1/4/2026, 3:39:15 AM

Last Updated

1/4/2026, 3:43:02 AM

Research Retrieved

1/4/2026, 3:43:02 AM

Summary

Gemini 1.5 Pro is a next-generation multimodal large language model (LLM) developed by Google DeepMind and announced by Google CEO Sundar Pichai in February 2024. It represents a significant advancement in artificial intelligence, most notably featuring a revolutionary context window that supports up to 1 million tokens, with experimental capabilities reaching up to 10 million tokens. This allows the model to process and reason across massive datasets, including hours of video, thousands of lines of code, or long-form documents. Positioned as a mid-size model that performs at a level comparable to the larger Gemini 1.0 Ultra, it is designed for greater efficiency, requiring less training compute and offering better scalability. The model is integrated into Google's ecosystem through Vertex AI and Google Workspace, serving as a key component in the broader AI boom alongside other technologies like OpenAI's Sora and Meta's Testgen.

Referenced in 1 Document
Research Data
Extracted Attributes
  • Developer

    Google DeepMind

  • Model Type

    Multimodal Large Language Model (LLM)

  • Architecture

    Mixture-of-Experts (MoE) optimized for long-context understanding

  • Context Window

    1,000,000 tokens (standard Pro), up to 10,000,000 tokens (experimental)

  • Input Modalities

    Text, Images, Audio, Video, Code

  • Performance Benchmark

    Comparable to Gemini 1.0 Ultra

  • Platform Availability

    Vertex AI, Google AI Studio, Google Workspace

Timeline
  • Google CEO Sundar Pichai announces Gemini 1.5 Pro, featuring a 1 million token context window and a Mixture-of-Experts architecture. (Source: https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/)

    2024-02-15

  • Gemini 1.5 Pro is released for early testing to developers and enterprise customers via Google AI Studio and Vertex AI. (Source: https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/)

    2024-02-15

  • Google expands the context window for Gemini 1.5 Pro to 2 million tokens for developers during the Google I/O keynote. (Source: https://www.techtarget.com/whatis/feature/Gemini-15-Pro-explained-Everything-you-need-to-know)

    2024-05-14

Web Search Results
  • Introducing Gemini 1.5, Google's next-generation AI model

    Last week, we rolled out our most capable model, Gemini 1.0 Ultra, and took a significant step forward in making Google products more helpful, starting with Gemini Advanced. The first Gemini 1.5 model we’re releasing for early testing is Gemini 1.5 Pro. It’s a mid-size multimodal model, optimized for scaling across a wide-range of tasks, and performs at a similar level to 1.0 Ultra, our largest model to date. As 1.5 Pro’s long context window is the first of its kind among large-scale models, we’re continuously developing new evaluations and benchmarks for testing its novel capabilities. In advance of releasing 1.5 Pro, we've taken the same approach to responsible deployment as we did for our Gemini 1.0 models, conducting extensive evaluations across areas including content safety and representational harms, and will continue to expand this testing. We’ll introduce 1.5 Pro with a standard 128,000 token context window when the model is ready for a wider release.

  • Gemini 1.5 Pro explained: Everything you need to know

    ## Explore Google's Gemini 1.5 Pro, a multimodal AI model that offers advanced features, including larger context windows, real-time conversations and expanded Google App extensions. Gemini 1.5 Pro is a multimodal AI model developed by Google DeepMind to help power generative AI services across Google's platform and third-party developers. Gemini 1.5 Pro's ability to process and understand text, images, audio and video inputs makes it a versatile tool for enhancing Google's services. With a context window of up to 2 million tokens, Gemini 1.5 Pro can analyze and understand large amounts of data, which might improve the quality of Google's search and AI-driven services. Gemini 1.5 Pro is integrated into Google Cloud services, including Vertex AI, enabling developers and businesses to build and deploy AI-driven applications. Gemini 1.5 Pro's advanced capabilities and efficiency with AI tasks support innovation within Google and among its partners and developers. * **Vertex AI.** Gemini 1.5 Pro is integrated into Google Cloud's Vertex AI platform, enabling developers to build, deploy and manage AI models.

  • ‎Gemini Apps' release updates & improvements

    As a Google AI Pro subscriber, you'll also retain access to key Gemini app capabilities, such as video generation with Veo 2, our most intelligent Deep Research, 1 million token context window, and more access to the 2.5 Pro model. * **What:** We’re making more Gemini Advanced features available in India, including Google’s next-generation model, 1.5 Pro, together with exclusive capabilities such as the ability to upload your documents, analyze your data, and process significantly more information with a 1 million token context window. * **What:** Available today, the new Gemini Education and Gemini Education Premium add-ons give Google Workspace for Education customers access to 1.5 Pro - Google’s most capable AI model widely available today, with enterprise-grade data protections. * **What:** Available today, the new Gemini Business and Gemini Enterprise plans give Google Workspace customers access to one of Google’s most capable AI models, 1.0 Ultra in Gemini and enterprise-grade data protections.

  • Gemini 1.5 Pro

    Gemini 1.5 Pro matches or outperforms Gemini 1.0 Ultra across standard benchmarks and achieves near-perfect retrieval (>99%) up to at least 10 million tokens, a significant advancement compared to other long context LLMs. As part of this release, Google is also featuring a new experimental 1 million token context window model which will be available to try out in Google AI Studio. There aren't too many details in the technical report (opens in a new tab), but it's reported that Gemini 1.5 Pro uses significantly less training compute, is more efficient to serve, and involves architecture changes that enable long-context understanding (up to 10 million tokens). the Gemini 1.5 Pro model in the Google AI Studio supports up to 1 million tokens so we are able to upload entire PDFs. The example below shows that a single PDF has been uploaded along with a simple prompt `What is the paper about?`:.

  • Gemini models | Gemini API | Google AI for Developers

    # Gemini models. | id\_cardModel code | `gemini-3-pro-preview` |. | id\_cardModel code | `gemini-3-pro-image-preview` |. ## Gemini 3 Flash. | id\_cardModel code | `gemini-3-flash-preview` |. * `Preview: gemini-3-flash-preview` |. ## Gemini 2.5 Flash. | id\_cardModel code | `gemini-2.5-flash` |. * Stable: `gemini-2.5-flash` |. | id\_cardModel code | `gemini-2.5-flash-preview-09-2025` |. * Preview: `gemini-2.5-flash-preview-09-2025` |. | id\_cardModel code | `gemini-2.5-flash-image` |. * Stable: `gemini-2.5-flash-image` * Deprecated: `gemini-2.5-flash-image-preview` |. | id\_cardModel code | `gemini-2.5-flash-native-audio-preview-12-2025` |. | id\_cardModel code | `gemini-2.5-flash-preview-tts` |. * `gemini-2.5-flash-preview-tts` |. | id\_cardModel code | `gemini-2.5-flash-lite` |. * Stable: `gemini-2.5-flash-lite` |. | id\_cardModel code | `gemini-2.5-flash-lite-preview-09-2025` |. * Preview: `gemini-2.5-flash-lite-preview-09-2025` |. | id\_cardModel code | `gemini-2.5-pro-preview-tts` |. ## Previous Gemini models. ## Gemini 2.0 Flash. | id\_cardModel code | `gemini-2.0-flash` |. | id\_cardModel code | `gemini-2.0-flash-preview-image-generation` |. A Gemini 2.0 Flash model optimized for cost efficiency and low latency. | id\_cardModel code | `gemini-2.0-flash-lite` |. Gemini models are available in either *stable*, *preview*, *latest*, or. For example: `gemini-2.5-flash-preview-09-2025`.