GOOGL Rolls Out Gemini 3.1 Pro With 77.1% ARC-AGI-2 Benchmark Score

⬤ Google just dropped its newest AI model, Gemini 3.1 Pro, and it's making some serious noise with a 77.1% score on the ARC-AGI-2 benchmark - a test that measures how well AI handles abstract problem solving and analytical thinking. CEO Sundar Pichai pointed out this result is more than double what the previous Gemini 3 Pro managed on the same test, marking a real leap forward in reasoning ability for Google's AI lineup.

⬤ When you look at how Gemini 3.1 Pro stacks up against other models, the improvement is pretty clear. While the benchmark chart shows various metrics for different models, Google Gemini 3 deep think hits 84.6 on ARC-AGI2 represents the company's continued push in this space. The 77.1% ARC-AGI-2 result significantly outpaces what Gemini 3 Pro achieved, backing up Google's claim that they've made meaningful progress on handling tougher reasoning challenges.

⬤ Google says Gemini 3.1 Pro works well for demanding tasks like visualizing complex concepts, pulling together information from multiple sources, and supporting creative workflows. They're rolling it out across the board - developers can access it through the Gemini API in Google AI Studio, businesses can use it via Vertex AI and Gemini Enterprise, and regular users will find the upgrade in the Gemini app and NotebookLM. This wide release shows Google wants these improved reasoning capabilities available throughout its entire ecosystem.

⬤ The launch of Gemini 3.1 Pro highlights just how competitive the AI model race has become, especially around benchmarks tied to reasoning and general intelligence. Better scores like this 77.1% on ARC-AGI-2 are starting to shift what people expect from next-gen AI in real-world applications - particularly those needing deeper analytical skills and more nuanced understanding. Meanwhile, Gemini 3.5 Pro leak reveals 80 reasoning score suggests even more advances may be coming soon.