GOOGLE LAUNCHES GEMINI 3 WITH CLAIMED LEADERSHIP IN MATH, SCIENCE, MULTIMODAL & AGENTIC AI

Google this week announced the release of its latest Al model family, Gemini 3, positioning it as the company's most advanced system to date.

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The rollout spans multiple Google products and the developer ecosystem, signalling a concerted effort by the company to scale its model architecture across consumer, enterprise and research platforms. Among the key claims are major performance gains in mathematics and scientific reasoning, enhanced multimodal capabilities, and the introduction of agentic workflows that can plan, act and execute tasks across tools.

The update comes amid heightened competition in the generative-Al landscape, where model leadership is increasingly tied not just to size or parameter count but to multimodal reasoning, tool use and multi-step planning. Google's executives emphasized that Gemini 3 reflects improvements across those dimensions and will ship simultaneously in Google Search’s Al mode, the Gemini app, Google Al Studio, Vertex Al and other environments. The launch is part of the company’s broader push to embed AI-first infrastructure into its ecosystem and assert differentiation in an evolving marketplace where benchmarks, enterprise readiness and practical deployment all matter.

PERFORMANCE ADVANCES IN REASONING, MATHEMATICS AND MULTIMODALITY

According to benchmarks shared around the release, Gemini 3 Pro delivers notable gains compared to its predecessor, Gemini 2.5 Pro, in areas including reasoning, mathematics, tool use, long-context planning and multimodal understanding. Published benchmark results position the model at the top of several independent leaderboards, including text-reasoning tasks where Gemini 3 Pro reportedly achieved an Elo score of 1501 on a leading benchmark, surpassing competing models released in similar time frames.