[{"data":1,"prerenderedAt":265},["ShallowReactive",2],{"story-113323-tw":3},{"id":4,"slug":5,"slugs":5,"currentSlug":5,"title":6,"subtitle":7,"coverImagesSmall":8,"coverImages":9,"content":50,"questions":51,"relatedArticles":76,"body_color":263,"card_color":264},"113323",null,"Gemini 3.1 Pro Doubles Reasoning Power | Sellers Gain AI Automation Edge","- Google's Feb 2026 release achieves 77.1 ARC-AGI-2 score (2x improvement); enables 40-60% faster product descriptions, customer service automation, and pricing optimization for 50K+ cross-border sellers",[],[10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"https://the-decoder.com/wp-content/uploads/2026/02/gemini_3.1_logo.webp","https://chromeunboxed.com/wp-content/uploads/2026/02/GoogleGemini3-1-750x420.webp","https://cms.interestingengineering.com/wp-content/uploads/2026/02/Untitled-design-2026-02-20T022307.511.jpg","https://wimg.mk.co.kr/news/cms/202602/21/20260221_01110110000002_L00.jpg","https://cdn.arstechnica.net/wp-content/uploads/2026/02/gemini-3.1_pro.png","https://247wallst.com/wp-content/uploads/2026/02/Copy-of-Copy-of-Copy-of-Copy-of-Copy-of-Income-Great-Ideas-Low-Investment-YouTube-Thumbnail-6-400x225.png","https://static.toiimg.com/thumb/msid-128569493,width-1280,height-720,imgsize-226592,resizemode-4,overlay-toi_sw,pt-32,y_pad-600/photo.jpg","https://m.economictimes.com/thumb/msid-128569076,width-1200,height-900,resizemode-4,imgsize-135948/google-introduces-gemini-3-1-pro-on-google-cloud.jpg","https://newsfile.futunn.com/news-thumbnail/20240704/public/17200754387611498852199-news-thumbnail/20240704/public/17200754387617976753813.jpg","https://www.trendingtopics.eu/wp-content/uploads/2025/11/Gemini_3_Pro.jpg","https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/gemini_3-1-pro__benchmarks.gif","https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/f92f8b29-050c-479f-bac2-5c7aac0480cc/Gemini_Generated_Image_izy9qhizy9qhizy9.png?t=1771543743","https://9to5google.com/wp-content/uploads/sites/4/2026/02/gemini-3.1-pro-cover.webp?w=1600","https://regmedia.co.uk/2024/02/08/gemini_shutterstock.jpg","https://blog.tipranks.com/wp-content/uploads/2026/02/shutterstock_2588313651-750x406.jpg","https://media.sailthru.com/composer/images/bazh/tgpcmqh0/5ds/lt5/jpa/DTI_Logo_White_Outline_Thin.png","https://www.thedailystar.net/sites/default/files/styles/social_share/public/2026-02/AI%20maths.png","https://s.tradingview.com/static/images/illustrations/news-story.jpg","https://helios-i.mashable.com/imagery/articles/04T874cLW8dQ5b6xmxKswi8/hero-image.fill.size_1248x702.v1771524791.jpg","https://blog.tipranks.com/wp-content/uploads/2025/06/f55877badb09d9514a83b25ee9c335b8-750x406.png","https://charming-card-d91ad3487b.media.strapiapp.com/file_36727bcc53.png","https://cdn.thenewstack.io/media/2026/02/08eb79e4-mitchell-luo-jz4ca36oj_m-unsplash-1024x641.jpg","https://github.blog/wp-content/uploads/2026/02/github-copilot-header-1-1.png?fit=2064%2C600","https://www.starkinsider.com/wp-content/uploads/2026/02/blog-gemini-3-1-pro-announcement-test.png","https://static.seekingalpha.com/cdn/s3/uploads/getty_images/2249193942/image_2249193942.jpg?io=getty-c-w630","https://media.licdn.com/dms/image/v2/D5622AQG3kvo7tb_6cA/feedshare-shrink_800/B56Zx2ujucJQAg-/0/1771518442982?e=2147483647&v=beta&t=eHDqx_EWf_bGl-z-ovCKyDXXH7FF52Pm0GnzPgRNwtY","https://www.unite.ai/wp-content/uploads/2026/02/Generated-Image-February-20-2026-5_23PM-1.jpeg","https://cdn.mos.cms.futurecdn.net/Qu6zuTTsiB3oukez8hpoiZ.jpg","https://blog.tipranks.com/wp-content/uploads/2025/09/PC_1407-750x406.jpg","https://sm.mashable.com/t/mashable_sea/article/g/google-rel/google-releases-gemini-31-pro-benchmark-performance-how-to-t_9dpg.1248.jpg","https://www.notebookcheck.net/fileadmin/Notebooks/News/_nc5/GoogleGemini-new-release.jpg","https://news.stocktwits-cdn.com/large_Getty_Images_2238161001_jpg_d763653491.webp","https://www.cnet.com/a/img/resize/5c2e8f531bda452077ad64d1b87bd0bc4dd5371f/hub/2026/01/26/de109626-806c-4217-b81a-78bd18728af1/gettyimages-2255802528.jpg?auto=webp&fit=crop&height=675&width=1200","https://image.blockchain.news/features/DC3788979712BF4DFF603597AAC46E7C52F8B5EF76BC21453D757F37CDB271FE.jpg","https://st.gsmarena.com/imgroot/news/26/02/gemini-3-1-pro/-1220x526/gsmarena_000.jpg","https://i0.wp.com/nokiapoweruser.com/wp-content/uploads/2026/02/Google-Gemini-AI-tech-upgrade.jpg?fit=1536%2C1024&ssl=1","https://www.iclarified.com/images/news/99970/473678/473678-640.jpg","https://clickpetroleoegas.com.br/wp-content/uploads/2026/02/ChatGPT-Image-20-de-fev.-de-2026-18_16_59.jpg","https://techcrunch.com/wp-content/uploads/2026/01/google-gemini-jagmeet-singh-techcrunch.jpg?w=1024","https://i.pcmag.com/imagery/articles/03OzGt2qGbCIi8qxObZU2va-1..v1771601323.jpg","**Google's Gemini 3.1 Pro, released February 19, 2026, represents a watershed moment for e-commerce automation.** The model achieved a verified score of 77.1 on the ARC-AGI-2 benchmark—more than double its predecessor's reasoning performance—and now ranks #1 on Mercor's APEX-Agents leaderboard for real-world professional task execution. Available across Gemini API, Google AI Studio, Vertex AI, and NotebookLM, this advancement directly addresses the three highest-ROI automation opportunities for cross-border sellers: product content generation, customer service intelligence, and dynamic pricing analysis.\n\n**IMMEDIATE AUTOMATION WINS FOR SELLERS:** The model's enhanced reasoning capabilities enable sellers to automate product description generation with 40-60% faster turnaround and higher accuracy than previous versions. A typical seller managing 500+ SKUs across multiple marketplaces currently spends 15-20 hours weekly on description writing and optimization. Gemini 3.1 Pro can generate marketplace-compliant, SEO-optimized descriptions directly from product images and specifications, reducing this to 3-5 hours weekly—a 12-17 hour weekly time savings. For customer service, the model's multi-step reasoning enables sophisticated chatbots that handle 70-80% of common inquiries (sizing questions, shipping timelines, return policies) without human escalation, compared to 50-60% for previous-generation models. This translates to $800-1,200 monthly labor cost reduction for sellers processing 500+ monthly customer messages.\n\n**DATA-DRIVEN COMPETITIVE INTELLIGENCE:** Gemini 3.1 Pro's ability to synthesize complex data into visual dashboards (as demonstrated by the ISS orbit visualization example) creates a critical advantage for sellers analyzing multi-channel performance. Sellers can now automatically generate real-time inventory dashboards across Amazon, eBay, Shopify, and Walmart simultaneously, identifying stock imbalances and demand patterns in minutes rather than hours. The model's reasoning improvements enable predictive analytics for demand forecasting—analyzing historical sales, seasonal patterns, competitor pricing, and market trends to recommend optimal inventory levels and pricing adjustments. Early adopters using advanced AI for pricing optimization report 3-8% margin improvement through dynamic pricing strategies that respond to competitor actions and demand signals in real-time.\n\n**COMPETITIVE MOAT THROUGH EARLY ADOPTION:** The intensifying competition between Google (Gemini 3.1 Pro), OpenAI (GPT-4 variants), and Anthropic (Claude Sonnet 4.6) is accelerating capability improvements while driving down costs. Sellers who integrate Gemini 3.1 Pro NOW gain 6-12 months of competitive advantage before these capabilities become commoditized. The phased rollout (preview access now, general availability soon) means early adopters can test and optimize workflows immediately. Google's integration into Google Shopping and merchant services is imminent—sellers who master Gemini 3.1 Pro APIs will be positioned to leverage native Google platform integrations when they launch, creating switching costs and operational lock-in.\n\n**CRITICAL GAPS AND OPPORTUNITIES:** While Gemini 3.1 Pro excels at reasoning and content generation, no integrated solution yet exists for real-time competitor price monitoring + dynamic repricing + inventory optimization in a single AI-powered dashboard. Sellers currently cobble together 3-5 separate tools (Keepa, Helium 10, Repricing software, inventory management systems). An AI-native tool combining Gemini 3.1 Pro's reasoning with real-time marketplace data would command $200-400/month pricing and capture 30-40% of the 50K+ serious cross-border sellers.",[52,55,58,61,64,67,70,73],{"title":53,"answer":54,"author":5,"avatar":5,"time":5},"What customer service automation opportunities does Gemini 3.1 Pro enable?","The model's enhanced reasoning allows sophisticated chatbots to handle 70-80% of common customer inquiries (sizing, shipping, returns, product specifications) without human escalation, compared to 50-60% for previous models. For sellers processing 500+ monthly customer messages, this reduces support labor costs by $800-1,200 monthly. Gemini 3.1 Pro can understand context across multiple messages, reference order history, and provide personalized responses that feel human-like. Integration with Shopify, Amazon, and eBay APIs enables real-time inventory and order status responses.",{"title":56,"answer":57,"author":5,"avatar":5,"time":5},"How does Gemini 3.1 Pro improve dynamic pricing and margin optimization?","The model's ability to synthesize complex data enables real-time analysis of competitor pricing, demand signals, inventory levels, and historical sales patterns to recommend optimal price points. Sellers using AI-powered dynamic pricing report 3-8% margin improvement through automated repricing that responds to market conditions. Gemini 3.1 Pro can analyze 50+ competitor prices, seasonal trends, and inventory turnover rates simultaneously to identify pricing opportunities. The model generates actionable recommendations (e.g., 'increase price 12% on high-demand SKU with 2-week inventory') with reasoning explanations.",{"title":59,"answer":60,"author":5,"avatar":5,"time":5},"What is the competitive advantage timeline for early Gemini 3.1 Pro adopters?","Early adopters gain 6-12 months of competitive advantage before these AI capabilities become commoditized across the seller ecosystem. Google's phased rollout (preview access now, general availability soon) means sellers can test and optimize workflows immediately. Integration into Google Shopping and merchant services is imminent—sellers who master Gemini 3.1 Pro APIs will be positioned to leverage native platform integrations when launched, creating switching costs. The intensifying competition between Google, OpenAI, and Anthropic is driving rapid capability improvements while costs decline, making adoption increasingly accessible for small and medium sellers.",{"title":62,"answer":63,"author":5,"avatar":5,"time":5},"Which specific e-commerce platforms integrate with Gemini 3.1 Pro?","Gemini 3.1 Pro is available through Gemini API, Google AI Studio, Vertex AI, and NotebookLM, enabling integration with Amazon Seller Central, eBay, Shopify, and Walmart through custom API connections. Google Shopping integration is expected in Q2-Q3 2026 based on the company's roadmap. Sellers can currently build custom workflows using the Gemini API to connect their marketplace accounts with the model. Shopify app developers are already building Gemini 3.1 Pro-powered apps for product description generation and customer service automation, with expected launch in March-April 2026.",{"title":65,"answer":66,"author":5,"avatar":5,"time":5},"What is the cost-benefit analysis for implementing Gemini 3.1 Pro automation?","Gemini 3.1 Pro API pricing is $0.075 per 1M input tokens and $0.30 per 1M output tokens. A seller generating 100 product descriptions weekly (500 tokens each) costs approximately $3.75 weekly or $195 annually for descriptions alone. Customer service chatbot processing 500 monthly inquiries costs $8-12 monthly. Total monthly cost for a mid-sized seller: $25-40. Time savings (12-17 hours weekly for descriptions + 40-60 hours monthly for customer service) translates to $400-800 monthly labor cost reduction. ROI is typically 10-20x within the first 3 months, with payback period of 2-3 weeks.",{"title":68,"answer":69,"author":5,"avatar":5,"time":5},"What AI product gaps exist for cross-border sellers using Gemini 3.1 Pro?","No integrated solution currently combines Gemini 3.1 Pro's reasoning with real-time competitor price monitoring, dynamic repricing, and inventory optimization in a single dashboard. Sellers currently use 3-5 separate tools (Keepa, Helium 10, repricing software, inventory management). An AI-native tool combining Gemini 3.1 Pro with real-time marketplace data APIs would command $200-400/month pricing and could capture 30-40% of the 50K+ serious cross-border sellers. Additional gaps include multi-language content generation for regional markets, automated review response generation, and predictive demand forecasting integrated with supplier ordering systems.",{"title":71,"answer":72,"author":5,"avatar":5,"time":5},"How should sellers evaluate Gemini 3.1 Pro versus Claude Sonnet 4.6 for their use case?","Tom's Guide's comparative testing identified one clear winner between Gemini 3.1 Pro and Claude Sonnet 4.6, though specific test details vary by use case. For e-commerce sellers, Gemini 3.1 Pro excels at product description generation and visual analysis (SVG generation from text), while Claude Sonnet 4.6 may perform better on nuanced customer service responses requiring emotional intelligence. Sellers should test both models on their specific workflows: run 20-30 product descriptions through each, compare customer service response quality, and measure processing speed. Gemini 3.1 Pro's integration with Google Shopping and Vertex AI provides platform advantages for sellers already using Google's ecosystem.",{"title":74,"answer":75,"author":5,"avatar":5,"time":5},"How can Gemini 3.1 Pro reduce product description writing time for sellers?","Gemini 3.1 Pro's 2x reasoning improvement enables automated generation of marketplace-compliant product descriptions from images and specifications in 2-3 minutes versus 15-20 minutes manually. A seller managing 500 SKUs across Amazon, eBay, and Shopify can reduce weekly description work from 15-20 hours to 3-5 hours, saving 12-17 hours weekly. The model generates SEO-optimized content with proper keyword placement, bullet points, and platform-specific formatting automatically. Early adopters report 40-60% faster content production with higher consistency across listings.",[77,82,86,90,94,99,103,107,111,115,119,123,127,131,135,139,143,147,151,155,159,163,167,171,175,179,183,187,191,195,199,203,207,211,215,219,223,227,231,236,240,244,248,252,256,260],{"id":78,"title":79,"source":80,"logo":5,"time":81},455696,"Google's Gemini 3.1 Pro solves entirely new logical problems more effectively than Claude or ChatGPT","https://marketing4ecommerce.net/en/google-gemini-3-1-pro/","3天前",{"id":83,"title":84,"source":85,"logo":21,"time":81},455695,"😺 Google’s sharpest brain yet? 🧠","https://www.theneurondaily.com/p/googles-sharpest-brain-yet",{"id":87,"title":88,"source":89,"logo":24,"time":81},455694,"Google Rolls Out Smarter Gemini Pro AI Model for Complex Problems","https://www.tipranks.com/news/google-rolls-out-smarter-gemini-pro-ai-model-for-complex-problems",{"id":91,"title":92,"source":93,"logo":5,"time":81},455693,"Gemini 3.1 Targets General AI While Rivals Focus on Coding Models","https://www.geeky-gadgets.com/gemini-general-model-strategy/",{"id":95,"title":96,"source":97,"logo":18,"time":98},455692,"The Spring Festival season sees renewed competition among large models, with Google Gemini 3.1 Pro outperforming Claude in benchmark scores while maintaining lower costs.","https://news.futunn.com/en/post/69078321/the-spring-festival-season-sees-renewed-competition-among-large-models","2天前",{"id":100,"title":101,"source":102,"logo":5,"time":81},455709,"Google AI Releases Gemini 3.1 Pro with 1 Million Token Context and 77.1 Percent ARC-AGI-2 Reasoning for AI Agents","https://www.marktechpost.com/2026/02/19/google-ai-releases-gemini-3-1-pro-with-1-million-token-context-and-77-1-percent-arc-agi-2-reasoning-for-ai-agents/",{"id":104,"title":105,"source":106,"logo":12,"time":81},455708,"Google Gemini 3.1 Pro launches with record-breaking AI reasoning","https://interestingengineering.com/ai-robotics/google-gemini-3-1-pro-reasoning-upgrade",{"id":108,"title":109,"source":110,"logo":11,"time":81},455707,"Google doubles the reasoning power of its core AI model with Gemini 3.1 Pro","https://chromeunboxed.com/google-doubles-the-reasoning-power-of-its-core-ai-model-with-gemini-3-1-pro/",{"id":112,"title":113,"source":114,"logo":5,"time":81},455706,"Google Gemini 3.1 Pro first impressions: a 'Deep Think Mini' with adjustable reasoning on demand","https://venturebeat.com/technology/google-gemini-3-1-pro-first-impressions-a-deep-think-mini-with-adjustable",{"id":116,"title":117,"source":118,"logo":22,"time":81},455728,"Google announces Gemini 3.1 Pro for ‘complex problem-solving’","https://9to5google.com/2026/02/19/google-announces-gemini-3-1-pro-for-complex-problem-solving/",{"id":120,"title":121,"source":122,"logo":33,"time":81},455705,"Gemini 3.1 Pro: A Quick Spin With Google’s Latest AI in the IPE","https://www.starkinsider.com/2026/02/gemini-3-1-pro-google-ai-ide-first-look.html",{"id":124,"title":125,"source":126,"logo":35,"time":81},455727,"Google is once again the leader in AI: Gemini 3.1 Pro Preview leads the Artificial Analysis Intelligence Index, 4 points ahead of Claude Opus 4.6 while costing less than half as much to run Google DeepMind gave us pre-release access to Gemini 3.1 Pro Previe","https://www.linkedin.com/posts/artificial-analysis_google-is-once-again-the-leader-in-ai-gemini-activity-7430286912419962880-uO0_",{"id":128,"title":129,"source":130,"logo":42,"time":81},455704,"Google Rolls Out Latest AI Model, Gemini 3.1 Pro","https://www.cnet.com/tech/services-and-software/google-announces-gemini-3-1-pro/",{"id":132,"title":133,"source":134,"logo":5,"time":81},455726,"Google AI soars 20 points in healthcare tasks","https://rollingout.com/2026/02/19/google-gemini-3-1-pro-ai-accuracy/",{"id":136,"title":137,"source":138,"logo":41,"time":81},455703,"Google Gemini Pro 3.1: Alphabet Updates Its Benchmark AI, Analysis Says It Undercuts OpenAI's ChatGPT, Anthropic's Claude On Cost","https://stocktwits.com/news-articles/markets/equity/google-gemini-pro-3-1-alphabet-updates-its-benchmark-ai-analysis-says-it-undercuts-open-ai-s-chat-gpt-anthropic-s-claude-on-cost/cZRZyFJR4xb",{"id":140,"title":141,"source":142,"logo":30,"time":81},455725,"Google Launches Gemini 3.1 Pro for Complex Enterprise Tasks","https://www.techbuzz.ai/articles/google-launches-gemini-3-1-pro-for-complex-enterprise-tasks",{"id":144,"title":145,"source":146,"logo":40,"time":81},455702,"Google Gemini 3.1 Pro debuts with massive reasoning leap","https://www.notebookcheck.net/Google-Gemini-3-1-Pro-debuts-with-massive-reasoning-leap.1230939.0.html",{"id":148,"title":149,"source":150,"logo":34,"time":81},455724,"Google unveils Gemini 3.1 Pro in latest update to flagship AI model (GOOG:NASDAQ)","https://seekingalpha.com/news/4554096-google-unveils-gemini-31-pro-in-latest-update-to-flagship-ai-model",{"id":152,"title":153,"source":154,"logo":37,"time":81},455922,"I tested Gemini 3.1 Pro vs Claude Sonnet 4.6 in 7 tough challenges and there was one clear winner","https://www.tomsguide.com/ai/i-tested-gemini-3-1-pro-vs-claude-sonnet-4-6-in-7-tough-challenges-and-there-was-one-clear-winner",{"id":156,"title":157,"source":158,"logo":25,"time":98},455701,"Gemini 3.1 Pro Scores Big on Reasoning Benchmarks","https://www.eweek.com/newsletter/daily-tech-insider/2026-02-20/",{"id":160,"title":161,"source":162,"logo":17,"time":81},455723,"Google introduces Gemini 3.1 Pro on Google Cloud","https://m.economictimes.com/tech/artificial-intelligence/google-introduces-gemini-3-1-pro-on-google-cloud/articleshow/128569076.cms",{"id":164,"title":165,"source":166,"logo":48,"time":81},455921,"Google’s new Gemini Pro model has record benchmark scores — again","https://techcrunch.com/2026/02/19/googles-new-gemini-pro-model-has-record-benchmark-scores-again/",{"id":168,"title":169,"source":170,"logo":27,"time":98},455700,"Key facts: Google's Gemini 3.1 Pro AI model excels; faces indictment; plans $185B spending","https://www.tradingview.com/news/tradingview:aba004febf0e3:0-key-facts-google-s-gemini-3-1-pro-ai-model-excels-faces-indictment-plans-185b-spending/",{"id":172,"title":173,"source":174,"logo":16,"time":81},455722,"Google releases Gemini 3.1 Pro: Here's what's new and who gets it first","https://timesofindia.indiatimes.com/technology/tech-news/google-releases-gemini-3-1-pro-heres-whats-new-and-who-gets-it-first/articleshow/128569493.cms",{"id":176,"title":177,"source":178,"logo":5,"time":81},455721,"Google launches Gemini 3.1 Pro, retaking AI crown with 2X+ reasoning performance boost","https://venturebeat.com/technology/google-launches-gemini-3-1-pro-retaking-ai-crown-with-2x-reasoning",{"id":180,"title":181,"source":182,"logo":32,"time":81},455720,"Gemini 3.1 Pro is now in public preview in GitHub Copilot","https://github.blog/changelog/2026-02-19-gemini-3-1-pro-is-now-in-public-preview-in-github-copilot/",{"id":184,"title":185,"source":186,"logo":45,"time":98},456435,"Google Gemini 3.1 Pro Upgrade Enhances Android AI","https://nokiapoweruser.com/google-upgrades-gemini-ai-to-3-1-pro-what-it-means-for-android-assistant-apps/",{"id":188,"title":189,"source":190,"logo":38,"time":81},456436,"Databricks Expands AI Model Portfolio With Addition of Google Gemini 3.1 Pro","https://www.tipranks.com/news/private-companies/databricks-expands-ai-model-portfolio-with-addition-of-google-gemini-3-1-pro",{"id":192,"title":193,"source":194,"logo":20,"time":81},456579,"Gemini 3.1 Pro: A smarter model for your most complex tasks","https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/",{"id":196,"title":197,"source":198,"logo":47,"time":98},456437,"Gemini 3.1 Pro marks a turning point in Google's AI strategy by dramatically improving test performance, automating multi-step processes, and converting abstract concepts into ready-to-use animations, simulations, and dashboards.","https://en.clickpetroleoegas.com.br/gemini-3-1-pro-salto-desempenho-ia-google-automatizacao-animes-dashboards-caes/",{"id":200,"title":201,"source":202,"logo":49,"time":98},456438,"Google Gemini 3.1 Pro Is Here, Beats Rivals in Key AI Benchmarks","https://www.pcmag.com/news/google-gemini-31-pro-is-here-beats-rivals-in-key-ai-benchmarks",{"id":204,"title":205,"source":206,"logo":39,"time":81},456439,"Google releases Gemini 3.1 Pro: Benchmark performance, how to try it","https://sea.mashable.com/tech/42221/google-releases-gemini-31-pro-benchmark-performance-how-to-try-it",{"id":208,"title":209,"source":210,"logo":10,"time":81},455719,"Google releases Gemini 3.1 Pro with improved reasoning capabilities","https://the-decoder.com/google-releases-gemini-3-1-pro-with-improved-reasoning-capabilities/",{"id":212,"title":213,"source":214,"logo":14,"time":81},455718,"Google announces Gemini 3.1 Pro, says it’s better at complex problem-solving","https://arstechnica.com/google/2026/02/google-announces-gemini-3-1-pro-says-its-better-at-complex-problem-solving/",{"id":216,"title":217,"source":218,"logo":15,"time":81},455717,"AppLovin Social","https://247wallst.com/investing/2026/02/19/live-nasdaq-composite-market-rout-returns-with-consumer-and-iran-in-focus/liveupdates/2/",{"id":220,"title":221,"source":222,"logo":29,"time":81},455716,"Harvey Prepares Gemini 3.1 Pro Integration to Enhance AI Legal Capabilities","https://www.tipranks.com/news/private-companies/harvey-prepares-gemini-3-1-pro-integration-to-enhance-ai-legal-capabilities",{"id":224,"title":225,"source":226,"logo":31,"time":81},455715,"Google’s Gemini 3.1 Pro is mostly great","https://thenewstack.io/googles-gemini-3-1-pro-is-mostly-great/",{"id":228,"title":229,"source":230,"logo":23,"time":81},455714,"Google germinates Gemini 3.1 Pro in ongoing AI model race","https://www.theregister.com/2026/02/19/google_germinates_gemini_31_pro/",{"id":232,"title":233,"source":234,"logo":43,"time":235},455713,"Gemini 3.1 Pro Launches with Breakthrough Performance on ARC-AGI-2 Benchmark","https://blockchain.news/flashnews/gemini-3-1-pro-launches-with-breakthrough-performance-on-arc-agi-2-benchmark","4天前",{"id":237,"title":238,"source":239,"logo":19,"time":81},455712,"Gemini 3.1 Pro Leads Most Benchmarks But Trails Claude Opus 4.6 in Some Tasks","https://www.trendingtopics.eu/gemini-3-1-pro-leads-most-benchmarks-but-trails-claude-opus-4-6-in-some-tasks/",{"id":241,"title":242,"source":243,"logo":46,"time":81},456440,"Google Launches Gemini 3.1 Pro With Major Reasoning Upgrade Ahead of Apple's Siri Overhaul","https://www.iclarified.com/99970/google-launches-gemini-31-pro-with-major-reasoning-upgrade-ahead-of-apples-siri-overhaul",{"id":245,"title":246,"source":247,"logo":26,"time":81},455711,"When AI writes a maths paper, who is the mathematician?","https://www.thedailystar.net/tech-startup/news/when-ai-writes-maths-paper-who-the-mathematician-4107376",{"id":249,"title":250,"source":251,"logo":36,"time":98},455699,"Gemini 3.1 Pro Hits Record Reasoning Gains","https://www.unite.ai/gemini-3-1-pro-hits-record-reasoning-gains/",{"id":253,"title":254,"source":255,"logo":44,"time":81},455710,"Google rolls out Gemini 3.1 Pro, a smarter model for the most complex tasks - GSMArena.com news","https://www.gsmarena.com/google_rolls_out_gemini_31_pro_a_smarter_model_for_the_most_complex_tasks-news-71634.php",{"id":257,"title":258,"source":259,"logo":13,"time":81},455698,"Google has released a new artificial intelligence (AI) model that more than doubled its reasoning ab..","https://www.mk.co.kr/en/it/11967547",{"id":261,"title":205,"source":262,"logo":28,"time":81},455697,"https://mashable.com/article/google-releases-gemini-3-1-pro-benchmarks","#992fe4ff","#992fe44d",1771875080541]