Google launches Gemini 3.1 Pro, retaking AI crown with 2X+ reasoning performance boost

by | Feb 19, 2026 | Technology

Late last year, Google briefly took the crown for most powerful AI model in the world with the launch of Gemini 3 Pro — only to be surpassed within weeks by OpenAI and Anthropic releasing new models, s is common in the fiercely competitive AI race.Now Google is back to retake the throne with an updated version of that flagship model: Gemini 3.1 Pro, positioned as a smarter baseline for tasks where a simple response is insufficient—targeting science, research, and engineering workflows that demand deep planning and synthesis.Already, evaluations by third-party firm Artificial Analysis show that Google’s Gemini 3.1 Pro has leapt to the front of the pack and is once more the most powerful and performant AI model in the world. A big leap in core reasoningThe most significant advancement in Gemini 3.1 Pro lies in its performance on rigorous logic benchmarks. Most notably, the model achieved a verified score of 77.1% on ARC-AGI-2. This specific benchmark is designed to evaluate a model’s ability to solve entirely new logic patterns it has not encountered during training. This result represents more than double the reasoning performance of the previous Gemini 3 Pro model.Beyond abstract logic, internal benchmarks indicate that 3.1 Pro is highly competitive across specialized domains:Scientific Knowledge: It scored 94.3% on GPQA Diamond.Coding: It reached an Elo of 2887 on LiveCodeBench Pro and scored 80.6% on SWE-Bench Verified.Multimodal Understanding: It achieved 92.6% on MMMLU.These technical gains are not just incremental; they represent a refinement in how the model handles “thinking” tokens and long-horizon tasks, providing a more reliable foundation for developers building autonomous agents.Improved vibe coding and 3D synthesisGoogle is demonstrating the model’s utility through “intelligence applied”—shifting the focus from chat interfaces to functional outputs. One of the most prominent features is the model’s ability to generate “vibe-coded” animated SVGs directly from text prom …

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