{"id":138505,"date":"2026-02-20T23:26:41","date_gmt":"2026-02-20T15:26:41","guid":{"rendered":"https:\/\/vertu.com\/?post_type=aitools&p=138505"},"modified":"2026-02-20T23:26:41","modified_gmt":"2026-02-20T15:26:41","slug":"gemini-3-1-pro-review-2026-features-benchmarks-pricing-how-it-compares","status":"publish","type":"aitools","link":"https:\/\/legacy.vertu.com\/ar\/ai-tools\/gemini-3-1-pro-review-2026-features-benchmarks-pricing-how-it-compares\/","title":{"rendered":"Gemini 3.1 Pro Review 2026: Features, Benchmarks, Pricing & How It Compares"},"content":{"rendered":"

<\/h1>\n

Released February 19, 2026, Gemini 3.1 Pro is Google's most capable general-purpose AI model to date \u2014 built on an upgraded reasoning core that more than doubles the intelligence of its predecessor. This article covers everything you need to know: what Gemini 3.1 Pro can do, how it performs on independent benchmarks, how much it costs, and how it stacks up against competing models.<\/strong><\/p>\n

\n

What Is Gemini 3.1 Pro?<\/h2>\n

Gemini 3.1 Pro is a proprietary large language model developed by Google DeepMind, released on February 19, 2026. It is currently available in preview<\/strong> and represents a major step forward in the Gemini 3 model series. Unlike Gemini 3 Deep Think \u2014 which targets scientific and engineering research \u2014 Gemini 3.1 Pro is designed for everyday complex reasoning tasks<\/strong> across consumer, developer, and enterprise use cases.<\/p>\n

In short: Gemini 3.1 Pro is the upgraded “core intelligence” that powers Google's entire AI product ecosystem in 2026<\/strong>, from the Gemini app to Vertex AI.<\/p>\n

\n

Key Features of Gemini 3.1 Pro<\/h2>\n
    \n
  • Advanced reasoning engine:<\/strong> Scores 77.1% on ARC-AGI-2, a benchmark measuring the ability to solve entirely new logic patterns \u2014 more than double the score of Gemini 3 Pro.<\/li>\n
  • Multimodal input:<\/strong> Accepts both text and image<\/strong> inputs; outputs text.<\/li>\n
  • 1 million token context window:<\/strong> Equivalent to approximately 1,500 A4 pages, making it suitable for large document analysis and long-context RAG workflows.<\/li>\n
  • Reasoning model:<\/strong> Uses extended thinking \/ chain-of-thought reasoning before generating answers, improving accuracy on complex tasks.<\/li>\n
  • High output speed:<\/strong> Generates 105.8 tokens per second (well above the peer median of 72.2 t\/s).<\/li>\n
  • Creative and agentic coding:<\/strong> Capable of generating animated SVGs, 3D visualizations, live aerospace dashboards, and interactive design prototypes from text prompts alone.<\/li>\n
  • Broad platform availability:<\/strong> Available across Google AI Studio, Gemini CLI, Google Antigravity, Android Studio, Vertex AI, Gemini Enterprise, the Gemini app, and NotebookLM.<\/li>\n<\/ul>\n
    \n

    Gemini 3.1 Pro Performance: Benchmark Results<\/h2>\n

    According to independent evaluations by Artificial Analysis (Intelligence Index v4.0, which spans reasoning, knowledge, mathematics, and coding):<\/p>\n\n\n\n\n\n\n\n\n\n\n
    Metric<\/th>\nGemini 3.1 Pro Preview<\/th>\nPeer Median<\/th>\n<\/tr>\n<\/thead>\n
    Intelligence Index Score<\/strong><\/td>\n57<\/strong> (Rank #1 \/ 115 models)<\/td>\n26<\/td>\n<\/tr>\n
    Output Speed<\/strong><\/td>\n105.8 tokens\/sec (Rank #24)<\/td>\n72.2 t\/s<\/td>\n<\/tr>\n
    Time to First Token (TTFT)<\/strong><\/td>\n29.16 seconds<\/td>\n1.20 seconds<\/td>\n<\/tr>\n
    Context Window<\/strong><\/td>\n1,000,000 tokens<\/td>\n\u2014<\/td>\n<\/tr>\n
    Input Price<\/strong><\/td>\n$2.00 \/ 1M tokens<\/td>\n$1.60 \/ 1M tokens<\/td>\n<\/tr>\n
    Output Price<\/strong><\/td>\n$12.00 \/ 1M tokens<\/td>\n$10.00 \/ 1M tokens<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Key takeaway:<\/strong> Gemini 3.1 Pro leads all 115 models in the Intelligence Index by a wide margin. However, its latency to first token is notably high<\/strong> (29.16 seconds versus the peer median of 1.20 seconds), which is a practical trade-off of its deep reasoning process. It is also somewhat more expensive than competing models in the same price tier.<\/p>\n

    \n

    Gemini 3.1 Pro vs. Competing Models<\/h2>\n

    To help you make an informed decision, here is a high-level comparison across the major frontier models currently available:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n
    Model<\/th>\nIntelligence Index<\/th>\nSpeed (t\/s)<\/th>\nInput Price ($\/1M)<\/th>\nOutput Price ($\/1M)<\/th>\nContext Window<\/th>\nReasoning<\/th>\n<\/tr>\n<\/thead>\n
    Gemini 3.1 Pro Preview<\/strong><\/td>\n57 (#1)<\/strong><\/td>\n105.8<\/td>\n$2.00<\/td>\n$12.00<\/td>\n1M tokens<\/td>\n\u2705 Yes<\/td>\n<\/tr>\n
    Claude Opus 4.6<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2705 Yes<\/td>\n<\/tr>\n
    Claude Sonnet 4.6<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2705 Yes<\/td>\n<\/tr>\n
    GPT-5.2 (xhigh)<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2705 Yes<\/td>\n<\/tr>\n
    Grok 4<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2705 Yes<\/td>\n<\/tr>\n
    DeepSeek V3.2<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2705 Yes<\/td>\n<\/tr>\n
    Gemini 3 Pro (prev.)<\/td>\n~35 (est.)<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u2014<\/td>\nLimited<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Note: Scores for competing models are from Artificial Analysis' live leaderboard and may change. Gemini 3.1 Pro Preview holds the #1 Intelligence Index ranking as of its February 2026 release.<\/em><\/p>\n

    Who should choose Gemini 3.1 Pro?<\/strong><\/p>\n

      \n
    • Enterprise teams<\/strong> needing top-ranked reasoning with Google Cloud (Vertex AI) integration.<\/li>\n
    • Developers<\/strong> building agentic workflows who require superior multi-step reasoning over raw throughput.<\/li>\n
    • Researchers and analysts<\/strong> working with large documents (up to 1M tokens) who need high accuracy.<\/li>\n
    • Consumers<\/strong> on Google AI Pro or Ultra plans who want Google's most intelligent model in the Gemini app and NotebookLM.<\/li>\n<\/ul>\n

      Who might prefer alternatives?<\/strong><\/p>\n

        \n
      • Users with latency-sensitive applications<\/strong> should note the 29-second time-to-first-token and consider faster models.<\/li>\n
      • Cost-sensitive developers<\/strong> may find Gemini 3 Flash or DeepSeek V3.2 more economical for high-volume use.<\/li>\n<\/ul>\n
        \n

        How to Access Gemini 3.1 Pro<\/h2>\n

        Gemini 3.1 Pro is currently in preview<\/strong>. Here is where you can access it today:<\/p>\n

          \n
        1. Gemini API via Google AI Studio<\/strong> \u2014 Developers can test and build with the model at aistudio.google.com<\/code>. Model string: gemini-3.1-pro-preview<\/code>.<\/li>\n
        2. Vertex AI<\/strong> \u2014 Enterprise access for teams already on Google Cloud infrastructure.<\/li>\n
        3. Gemini Enterprise<\/strong> \u2014 For businesses using Google Workspace with advanced AI plans.<\/li>\n
        4. Gemini CLI<\/strong> \u2014 Command-line access for developers at geminicli.com<\/code>.<\/li>\n
        5. Google Antigravity<\/strong> \u2014 Google's agentic development platform.<\/li>\n
        6. Android Studio<\/strong> \u2014 Native integration for Android developers.<\/li>\n
        7. Gemini App (Consumer)<\/strong> \u2014 Available with higher usage limits for Google AI Pro and Ultra plan subscribers.<\/li>\n
        8. NotebookLM<\/strong> \u2014 Exclusively for Pro and Ultra users.<\/li>\n<\/ol>\n
          \n

          Real-World Use Cases: What Gemini 3.1 Pro Can Do<\/h2>\n

          Gemini 3.1 Pro is positioned for tasks where a simple answer is not sufficient. Documented capabilities from Google's official release include:<\/p>\n

            \n
          • Code-based animation:<\/strong> Generating website-ready, animated SVGs from a text prompt \u2014 crisp at any scale, with smaller file sizes than traditional video formats.<\/li>\n
          • Complex system synthesis:<\/strong> Building a live aerospace dashboard that configures a public telemetry stream to visualize the International Space Station's orbit.<\/li>\n
          • Interactive design:<\/strong> Coding a 3D starling murmuration simulation with hand-tracking and a generative audio score that responds to flock movement.<\/li>\n
          • Creative coding:<\/strong> Translating literary themes (such as Emily Bront\u00eb's Wuthering Heights<\/em>) into a functional, stylistically appropriate personal portfolio website.<\/li>\n
          • Data synthesis:<\/strong> Combining information from multiple complex sources into unified, user-friendly views.<\/li>\n<\/ul>\n

            These examples highlight why Gemini 3.1 Pro is considered a reasoning-first<\/strong> model: it is not just generating content, but reasoning through design intent, technical constraints, and user experience before producing output.<\/p>\n

            \n

            Pricing Summary<\/h2>\n\n\n\n\n\n\n\n
            Plan<\/th>\n\u0633\u0639\u0631<\/th>\n<\/tr>\n<\/thead>\n
            Input tokens<\/td>\n$2.00 per 1M tokens<\/td>\n<\/tr>\n
            Output tokens<\/td>\n$12.00 per 1M tokens<\/td>\n<\/tr>\n
            Blended rate (3:1 input\/output ratio)<\/td>\n$4.50 per 1M tokens<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            Pricing is available through Google's API. The model is currently in preview, and pricing or availability may change before general availability.<\/p>\n

            \n

            What's Next for Gemini 3.1 Pro<\/h2>\n

            Google has confirmed that Gemini 3.1 Pro is in preview<\/strong> specifically to validate updates and gather developer feedback before general availability. The stated next focus areas include:<\/p>\n

              \n
            • Further advancements in agentic workflows<\/strong> \u2014 autonomous multi-step task completion.<\/li>\n
            • Continued improvements to reasoning and intelligence benchmarks.<\/li>\n
            • Broader rollout to all users beyond Pro and Ultra plan subscribers.<\/li>\n<\/ul>\n

              Google has been iterating rapidly: Gemini 3 Pro launched in November 2025, and Gemini 3.1 Pro arrived just three months later with more than double the ARC-AGI-2 reasoning score.<\/p>\n

              \n

              FAQ: Gemini 3.1 Pro Common Questions<\/h2>\n

              Q: When was Gemini 3.1 Pro released?<\/strong> Gemini 3.1 Pro Preview was released on February 19, 2026.<\/p>\n

              Q: Is Gemini 3.1 Pro the most intelligent AI model available?<\/strong> Based on independent testing by Artificial Analysis, Gemini 3.1 Pro Preview ranks #1 out of 115 models on the Artificial Analysis Intelligence Index as of February 2026, with a score of 57 compared to a peer median of 26.<\/p>\n

              Q: Is Gemini 3.1 Pro a reasoning model?<\/strong> Yes. Gemini 3.1 Pro uses extended chain-of-thought reasoning, meaning it works through complex problems before delivering a final answer. This improves accuracy but contributes to a higher time-to-first-token (approximately 29 seconds).<\/p>\n

              Q: How much does Gemini 3.1 Pro cost?<\/strong> The API is priced at $2.00 per 1M input tokens and $12.00 per 1M output tokens via Google's API \u2014 slightly above the average for models in its peer group.<\/p>\n

              Q: What is the context window of Gemini 3.1 Pro?<\/strong> Gemini 3.1 Pro supports a 1 million token context window, equivalent to approximately 1,500 A4 pages.<\/p>\n

              Q: Does Gemini 3.1 Pro support images?<\/strong> Yes. The model is multimodal and supports both text and image inputs, outputting text.<\/p>\n

              Q: Is Gemini 3.1 Pro open source?<\/strong> No. Gemini 3.1 Pro is a proprietary model. Google has not disclosed the parameter count or released the model weights.<\/p>\n

              Q: Is Gemini 3.1 Pro available for free?<\/strong> Consumer access is available through the Gemini app, but higher usage limits require a Google AI Pro or Ultra subscription. Developer and enterprise access requires paid API usage.<\/p>\n

              Q: How does Gemini 3.1 Pro compare to Gemini 3 Pro?<\/strong> Gemini 3.1 Pro achieves a verified ARC-AGI-2 score of 77.1% \u2014 more than double the reasoning performance of Gemini 3 Pro, released in November 2025.<\/p>\n

              Q: Where can I try Gemini 3.1 Pro?<\/strong> You can access Gemini 3.1 Pro today via Google AI Studio (for developers), the Gemini app (for consumers with Pro\/Ultra plans), Vertex AI (for enterprises), and NotebookLM (for Pro\/Ultra subscribers).<\/p>","protected":false},"excerpt":{"rendered":"

              Released February 19, 2026, Gemini 3.1 Pro is Google’s most capable general-purpose AI model to date \u2014 built on an […]<\/p>","protected":false},"author":11214,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[468],"tags":[],"class_list":["post-138505","aitools","type-aitools","status-publish","format-standard","hentry","category-best-post"],"acf":[],"_links":{"self":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools\/138505","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools"}],"about":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/types\/aitools"}],"author":[{"embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/users\/11214"}],"version-history":[{"count":1,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools\/138505\/revisions"}],"predecessor-version":[{"id":138509,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools\/138505\/revisions\/138509"}],"wp:attachment":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/media?parent=138505"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/categories?post=138505"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/tags?post=138505"}],"curies":[{"name":"\u0648\u0648\u0631\u062f\u0628\u0631\u064a\u0633","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}