Google today announced Gemini 3 with the goal of bringing “any idea to life.” The first model available in this family is Gemini 3 Pro with the rollout starting today for the Gemini app and AI Mode.
With Gemini 1.0, Google focused on native multimodality and the long context window. A year later Gemini 2.0 brought advanced reasoning and the beginning of agentic capabilities, while Gemini 2.5 introduced deep reasoning and coding capabilities.
Gemini 3 — which drops the “.0” — is Google’s “most intelligent model” and positioned as helping you “bring any idea to life.”
It starts by getting better at figuring out the context and intent of your request, so that “you get what you need with less prompting.” Gemini 3 is state-of-the-art in reasoning with the ability to “grasp depth and nuance,“ like “perceiving the subtle clues in a creative idea, or peeling apart the overlapping layers of a difficult problem.”
Gemini 3 Pro responses aim to be “smart, concise, and direct, trading cliche and flattery for genuine insight.”
It acts as a true thought partner that gives you new ways to understand information and express yourself, from translating dense scientific concepts by generating code for high-fidelity visualizations to creative brainstorming.
Benchmarks
Gemini 3 Pro has a score of 1501 on LMArena and surpasses 2.5 Pro (1451), which still had the top position. It outperforms the model its replacing in all major benchmarks by a significant margin:
- …demonstrates PhD-level reasoning with top scores on Humanity’s Last Exam (37.5% without the usage of any tools) and GPQA Diamond (91.9%).
- …sets a new standard for frontier models in mathematics, achieving a new state-of-the-art of 23.4% on MathArena Apex.
- Beyond text, Gemini 3 Pro redefines multimodal reasoning with breakthrough scores of 81% on MMMU-Pro and 87.6% on Video-MMMU.
- …scores a state-of-the-art 72.1% on SimpleQA Verified, showing great progress on factual accuracy.
- …tops the WebDev Arena leaderboard by scoring an impressive 1487 ELO.
- …scores 54.2% on Terminal-Bench 2.0, which tests a model’s tool use ability to operate a computer via terminal
- …greatly outperforms 2.5 Pro on SWE-bench Verified (76.2%), a benchmark that measures coding agents.
This means Gemini 3 Pro is highly capable at solving complex problems across a vast array of topics like science and mathematics with a high-degree of reliability.
Google today also announced the Gemini 3 Deep Think mode with even better reasoning and multimodal understanding. It outperforms Gemini 3 Pro on Humanity’s Last Exam (41.0% without the use of tools) and GPQA Diamond (93.8%). This will be available in the coming weeks for AI Ultra subscribers.
It also achieves an unprecedented 45.1% on ARC-AGI (with code execution), demonstrating its ability to solve novel…
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