--- title: Google Enhances Gemini with 2M Token Context, Code... description: Google has rolled out major updates for its Gemini AI platform, including a 2 million token context window for Gemini 1.5 Pro, code execution capabilities, and... canonical: https://daily.dev/posts/google-enhances-gemini-with-2m-token-context-code-execution-and-gemma-2-availability-xxkyyddsn twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Google Enhances Gemini with 2M Token Context, Code Execution, and Gemma 2 Availability | daily.dev og:description: Google has rolled out major updates for its Gemini AI platform, including a 2 million token context window for Gemini 1.5 Pro, code execution capabilities, and... og:url: https://daily.dev/posts/google-enhances-gemini-with-2m-token-context-code-execution-and-gemma-2-availability-xxkyyddsn og:image: https://api.daily.dev/og/posts/xxKYYDdSn.png og:image:alt: Google Enhances Gemini with 2M Token Context, Code Execution, and Gemma 2 Availability og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Google Enhances Gemini with 2M Token Context, Code Execution, and Gemma 2 Availability **[Collections](https://daily.dev/sources/collections)** · 3 min read · 5 upvotes · 0 comments ## Summary Google has rolled out major updates for its Gemini AI platform, including a 2 million token context window for Gemini 1.5 Pro, code execution capabilities, and the introduction of Gemma 2 for experimentation. Gemini 1.5 Flash also debuts, optimized for speed and cost-efficiency. These updates enhance the platform's efficiency, scalability, and capability for complex tasks. ## Content # Google Integrates 2M Token Context Window, Code Execution, and Gemma 2 for Gemini Developers Today marks a significant upgrade for developers working with Google's Gemini AI platform. Several key features have been rolled out, each aimed at enhancing the capabilities and efficiency of Gemini 1.5 Pro, as well as providing new avenues for experimentation and production robustness. ## 2 Million Token Context Window for Gemini 1.5 Pro One of the most impactful updates is the expansion of the context window for Gemini 1.5 Pro to an impressive 2 million tokens. This enhancement enables the efficient processing of large token sequences, greatly boosting the model's utility for complex content analysis and generation tasks. Compared to the previous 128k context window, this is a substantial leap forward. However, developers should be aware that the increased context window can lead to higher costs, which Google aims to mitigate through the introduction of context caching within the Gemini API. ## Code Execution Capabilities Another crucial update is the integration of code execution capabilities into the Gemini API. This allows for the dynamic generation and execution of Python code, significantly improving the model's accuracy in mathematical and data reasoning tasks. This new feature opens up numerous possibilities for developers to streamline and automate various processes within their applications. ## Gemma 2 and Gemini 1.5 Flash Alongside these updates, the Gemma 2 model is now available for experimentation within Google AI Studio. Gemma 2 provides developers with an open model to test and refine their approaches, fostering innovation and discovery. Additionally, Gemini 1.5 Flash is being introduced, which focuses on speed and affordability. This smaller multimodal model is optimized for quick, frequent tasks and supports a 1 million token context window. Google has also hinted at upcoming tuning features for Gemini 1.5 Flash to enhance its robustness and reliability in production settings, with a full rollout expected by mid-July. ## Efficiency and Scalability To support the expanded capabilities and mitigate associated costs, Google has implemented context caching to enhance efficiency. Furthermore, provisioned throughput has been introduced, offering predictable performance and scalability for developers looking to integrate these advanced features into their applications. In summary, today's updates to Google's Gemini AI platform provide developers with powerful new tools and features designed to tackle complex tasks and improve efficiency, all while offering avenues for experimentation and scalability. Developers are encouraged to explore these enhancements and engage in discussions on Google's developer forum for further insights and collaborative opportunities. ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 1 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments - [CNCF Unveils Schedule for KubeCon \+ CloudNativeCon Europe 2026](https://daily.dev/posts/cncf-unveils-schedule-for-kubecon-cloudnativecon-europe-2026-ikhcoa5cb) · CNCF · 2 upvotes · 0 comments - [CNCF Debuts KubeCon \+ CloudNativeCon Japan 2026 Schedule](https://daily.dev/posts/cncf-debuts-kubecon-cloudnativecon-japan-2026-schedule-xp5pyudub) · CNCF · 1 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#devtools](https://daily.dev/tags/devtools), [#google](https://daily.dev/tags/google), [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python) [View this post on daily.dev](https://daily.dev/posts/google-enhances-gemini-with-2m-token-context-code-execution-and-gemma-2-availability-xxkyyddsn) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Google Enhances Gemini with 2M Token Context, Code Execution, and Gemma 2 Availability","url":"https://daily.dev/posts/google-enhances-gemini-with-2m-token-context-code-execution-and-gemma-2-availability-xxkyyddsn","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/google-enhances-gemini-with-2m-token-context-code-execution-and-gemma-2-availability-xxkyyddsn"},"datePublished":"2024-06-27T16:43:56.928Z","dateModified":"2026-03-15T03:41:13.400Z","description":"Google has rolled out major updates for its Gemini AI platform, including a 2 million token context window for Gemini 1.5 Pro, code execution capabilities, and...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/04ebcbeb48d4e8bc9f526b36f187453d?_a=AQAEuiZ","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/04ebcbeb48d4e8bc9f526b36f187453d?_a=AQAEuiZ","isAccessibleForFree":true,"articleSection":"Collections","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Collections","logo":"https://media.daily.dev/image/upload/s--fk_6ycEi--/f_auto,q_auto/v1780996001/logos/collections?_a=BAMAMiWQ0","url":"https://daily.dev/sources/collections"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/google-enhances-gemini-with-2m-token-context-code-execution-and-gemma-2-availability-xxkyyddsn","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":5},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,devtools,google,machine-learning,python","timeRequired":"PT3M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Collections","item":"https://daily.dev/sources/collections"},{"@type":"ListItem","position":3,"name":"Google Enhances Gemini with 2M Token Context, Code Execution, and Gemma 2 Availability"}]} ```