--- title: Google's Gemini 3.1 Pro Preview Now Available on AI... description: Google has announced Gemini 3.1 Pro, built on the Gemini 3 Deep Think foundation, achieving 77.1% on the ARC-AGI-2 benchmark compared to 31.1% for its... canonical: https://daily.dev/posts/google-s-gemini-3-1-pro-preview-now-available-on-ai-platforms-pje6xo1xg twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Google's Gemini 3.1 Pro Preview Now Available on AI Platforms | daily.dev og:description: Google has announced Gemini 3.1 Pro, built on the Gemini 3 Deep Think foundation, achieving 77.1% on the ARC-AGI-2 benchmark compared to 31.1% for its... og:url: https://daily.dev/posts/google-s-gemini-3-1-pro-preview-now-available-on-ai-platforms-pje6xo1xg og:image: https://api.daily.dev/og/posts/PjE6Xo1XG.png og:image:alt: Google's Gemini 3.1 Pro Preview Now Available on AI Platforms 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's Gemini 3.1 Pro Preview Now Available on AI Platforms **[Collections](https://daily.dev/sources/collections)** · 2 min read · 2 upvotes · 0 comments ## Summary Google has announced Gemini 3.1 Pro, built on the Gemini 3 Deep Think foundation, achieving 77.1% on the ARC-AGI-2 benchmark compared to 31.1% for its predecessor. The model features a 1-million-token context window, multimodal input support (audio, images, video, text, PDFs), and a new tiered thinking level system (low/medium/high) replacing the previous thinking_budget parameter. It is available via Google AI Studio, Vertex AI, Gemini CLI, and integrates with GitHub Copilot and Android Studio. Pricing is set at $2/$12 per million input/output tokens, positioning it competitively against Anthropic and OpenAI offerings. ## Content Google has unveiled Gemini 3.1 Pro, a significant advancement in artificial intelligence, chiefly marked by its state-of-the-art reasoning capabilities and enhanced performance across various coding benchmarks. This model is built on the Gemini 3 Deep Think foundation and achieves a remarkable 77.1% on the ARC-AGI-2 benchmark, a substantial improvement over the 31.1% logged by its predecessor, Gemini 3 Pro. **Benchmark Achievements and Capabilities** Gemini 3.1 Pro not only surpasses its own previous versions but also outperforms competitors like Anthropic's Opus 4.6 and OpenAI's GPT-5.2 in many respects. While Opus 4.6 leads in some tests, and OpenAI's GPT-5.3-Codex excels in SWE-Bench Pro, Gemini 3.1 Pro firmly establishes itself as a leader on Artificial Analysis's leaderboard. The model is particularly noted for its robust multimodal function capabilities, supporting input types such as audio, images, video, text, and PDFs. It also introduces a 1-million-token context window with a 64k output token limit, a feature that underlies its advanced problem-solving efficiency. **Access and Availability** Gemini 3.1 Pro is accessible in preview across multiple platforms, including Google AI Studio, Vertex AI, and the Gemini CLI, among others. Developers can employ this model through the Gemini API, and enterprises can deploy it via Gemini Enterprise. It is further available to consumers through the Gemini app and NotebookLM. Additionally, the model is integrated with platforms like GitHub Copilot and Android Studio for enhanced coding assistance. **New Features and Developer Insights** This release introduces an expanded thinking level system that replaces the earlier thinking_budget parameter, offering low, medium, and high settings to optimize AI problem-solving tasks. The high thinking mode resembles a scaled-down version of Gemini Deep Think, excelling in complex tasks like math olympiads at remarkable speed. The new advancements reflect in its agentic and multi-step workflow abilities, demonstrating significant gains in efficiency and reasoning. Pricing for the model remains competitive at $2/$12 per million input/output tokens, markedly lower than rival offerings. **Conclusion** Google's Gemini 3.1 Pro represents a milestone in AI model development, blending enhanced reasoning, efficient coding support, and multimodal understanding. As it rolls out, with general availability soon on schedule, it promises to offer developers and enterprises a powerful tool for tackling the most intricate tasks, ensuring faster, more accurate, and cost-effective AI-driven solutions. --- Tags: [#google](https://daily.dev/tags/google), [#llm](https://daily.dev/tags/llm), [#google-gemini](https://daily.dev/tags/google-gemini), [#multimodal](https://daily.dev/tags/multimodal), [#vertex-ai](https://daily.dev/tags/vertex-ai) [View this post on daily.dev](https://daily.dev/posts/google-s-gemini-3-1-pro-preview-now-available-on-ai-platforms-pje6xo1xg) ```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's Gemini 3.1 Pro Preview Now Available on AI Platforms","url":"https://daily.dev/posts/google-s-gemini-3-1-pro-preview-now-available-on-ai-platforms-pje6xo1xg","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/google-s-gemini-3-1-pro-preview-now-available-on-ai-platforms-pje6xo1xg"},"datePublished":"2026-02-19T15:46:35.942Z","dateModified":"2026-02-26T17:46:58.816Z","description":"Google has announced Gemini 3.1 Pro, built on the Gemini 3 Deep Think foundation, achieving 77.1% on the ARC-AGI-2 benchmark compared to 31.1% for its...","image":"https://pbs.twimg.com/media/HBiB4YPWwAA-hJh.jpg","thumbnailUrl":"https://pbs.twimg.com/media/HBiB4YPWwAA-hJh.jpg","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-s-gemini-3-1-pro-preview-now-available-on-ai-platforms-pje6xo1xg","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"google,llm,google-gemini,multimodal,vertex-ai","timeRequired":"PT2M"} {"@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's Gemini 3.1 Pro Preview Now Available on AI Platforms"}]} ```