Google’s Gemini 3 Pro, released by Google and discussed by AI Explained on November 19, 2025, has made significant strides in AI, marking a substantial leap in performance and capabilities across multiple benchmarks compared to existing models. Notably, it surpasses its predecessors by a significant margin in several areas such as “humanity’s last exam” and STEM knowledge as measured by the GPQA Diamond, demonstrating improvement over competitors like GPT 5.1. This advancement is partly due to scaling up pre-training, utilizing an estimated 10 trillion parameters. This demonstrates Google’s hardware prowess and reflects their infrastructure dominance, especially when using in-house TPUs instead of NVIDIA GPUs. The enhancements are not only in benchmarks but also in practical reasoning tasks, like those in ARK AGI 1 and Math Arena Apex, which showcase Gemini’s capability in complex problem-solving scenarios. While Gemini 3 Pro sets records in many areas, its performance matches or slightly surpasses its predecessor in some safety and coding benchmarks, highlighting the reliance on specific training data for success in niche areas. As a tool for developers, it introduces Google’s “Anti-gravity,” a novel integration of coding agents with computer-using agents, though it’s still subject to imperfections. Intriguingly, Gemini 3 demonstrates elements of situational awareness in synthetic environments, hinting at the future potential of AI’s self-monitoring capabilities. With enhanced performance in extending context and reducing hallucinations, Gemini 3 Pro stands as a beacon of AI innovation, although some areas still show room for growth. Despite minor setbacks, Google’s release symbolizes a lead in AI that others, including OpenAI and Anthropic, may struggle to catch up to in the near future, making Gemini 3 Pro a formidable contender in the realm of artificial intelligence.