Gemini 3.1 Pro arrives in preview, doubling ARC-AGI-2 scores and boosting long-document support without changing API pricing.
Google has rolled out Gemini 3.1 Pro , the latest update to its flagship AI model, just months after releasing Gemini 3 in November.The new version enters preview today for developers, enterprises, and consumers, with Google promising stronger reasoning, better coding performance, and improved handling of long documents.
The company says Gemini 3.1 Pro powers the “core intelligence” behind recent upgrades to its Deep Think tool.While benchmark gains appear modest in some areas, Google claims the update delivers more consistent and reliable performance in real-world tasks.Stronger reasoning benchmarksGoogle highlighted performance gains across several industry tests. In Humanity’s Last Exam, which measures advanced domain knowledge, Gemini 3.1 Pro scored 44.4 percent. Gemini 3 Pro reached 37.5 percent. OpenAI’s GPT 5.2 scored 34.5 percent.Gemini 3.1 Pro is here: A smarter model for your most complex tasks.Building on the Gemini 3 series, 3.1 Pro is a step forward in reasoning. It's designed for tasks where a simple answer isn’t enough, taking advanced reasoning and making it useful for your hardest challenges.🧵— Google Gemini February 19, 2026The company also pointed to a sharp improvement in ARC-AGI-2, a benchmark designed to test novel reasoning problems. Gemini 3 scored 31.1 percent in earlier testing.Gemini 3.1 Pro jumped to 77.1 percent, more than doubling the previous result.However, Gemini 3.1 Pro does not top every leaderboard. On Arena, formerly LM Arena, Claude Opus 4.6 leads Gemini in text tasks. It edges Gemini by four points at 1504.In coding categories, Opus 4.6, Opus 4.5, and GPT 5.2 High also rank ahead.Arena rankings rely on user voting. Participants choose outputs they prefer. That format can reward answers that appear correct, even if they contain subtle flaws.Google designed Gemini 3.1 Pro with developers in mind. The model generates code, explains complex functions, and helps debug errors. It now handles larger code blocks in a single session.That reduces interruptions during development workflows.The update also expands long-context capabilities. Gemini 3.1 Pro supports up to one million input tokens and 64,000 output tokens. Businesses can upload lengthy contracts, reports, or research documents and ask detailed questions without splitting files.Google kept API pricing unchanged at $2 per million input tokens and $12 per million output tokens. That stability may appeal to startups and enterprise teams building AI-driven products.The model also showed gains in the APEX-Agents benchmark, nearly doubling its earlier score. That benchmark measures performance in agentic workflows, where AI systems execute multi-step tasks.Enterprise AI pushGoogle is deploying Gemini 3.1 Pro across its ecosystem. Developers can access it in AI Studio and the Antigravity IDE. Enterprise customers will see it in Vertex AI and Gemini Enterprise. Consumers can use it through the Gemini app and NotebookLM.The company says it improved safety controls and monitoring systems. Businesses handling sensitive data demand stable and predictable outputs. Google aims to position Gemini 3.1 Pro as a dependable tool for customer support, automation, and document review.The broader AI market continues to accelerate in the United States. Companies now compare models on reasoning strength, coding depth, and long-context performance. Gemini 3.1 Pro may not dominate every leaderboard, but Google appears focused on practical gains that matter inside real workflows.If past patterns continue, Google could soon release a 3.1 update for its faster and lower-cost Flash model. For now, Gemini 3.1 Pro signals Google’s intent to compete aggressively in enterprise AI.
ARC-AGI-2 Artificial Intelligence Enterprise AI Gemini 3.1 Pro Gemini AI Google
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