What is Gemini 3 Deep Think
Gemini 3 Deep Think is a specialized reasoning model launched by Google DeepMind, focused on deep scientific reasoning and complex problem solving. The model reaches 84.6% on the ARC-AGI-2 benchmark, far surpassing similar models; it scores 48.4% on Humanity's Last Exam, reaches Elo 3455 on Codeforces, and achieves gold medal level in physics and chemistry olympiads. The model is designed specifically for scientific research scenarios with "no clear rules and incomplete data", and can discover logical flaws in mathematics papers, design semiconductor materials, and accelerate engineering prototype iteration. It is currently open to Google AI Ultra subscribers and early API applicants.
Main features of Gemini 3 Deep Think
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Deep scientific reasoning: The model reaches olympiad gold medal level in fields such as mathematics, physics, and chemistry, and can discover hidden logical flaws in academic papers.
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Code generation and optimization: With a competitive programming level of Elo 3455, it transforms complex ideas into high-quality executable code.
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Engineering prototype iteration: The model accelerates mechanical hardware design cycles, enabling rapid physical prototype validation close to software development.
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Multimodal scientific research assistance: Supports integrated analysis of charts, literature, and experimental data, connecting interdisciplinary theory with practical applications.
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3D design generation: Supports directly converting hand-drawn sketches into solid model files usable for 3D printing.
Performance of Gemini 3 Deep Think
- Core benchmarks：
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It achieved a score of 84.6% on the ARC-AGI-2 reasoning test, far exceeding Claude Opus 4.6's 68.8% and GPT-5.2's 52.9%.
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It reached 48.4% on the Humanity's Last Exam difficult problem set, significantly leading other frontier models.
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Codeforces competitive programming ranking Elo 3455, an increase of nearly a thousand points compared with Gemini 3 Pro Preview.
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- Subject competitions: It reached gold medal level in the written exams of the 2025 International Mathematics, Physics, and Chemistry Olympiads. It achieved 50.5% on the advanced theoretical physics CMT-Benchmark test.
- Strong multimodal understanding: MMMU-Pro multimodal benchmark score 81.5%, slightly leading similar models.
- Real-world scientific research validation: It has proven its value in real scenarios, successfully identifying logical defects in mathematics papers that were missed by human peer review
How to use Gemini 3 Deep Think
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Gemini App subscription use: Google AI Ultra subscribers can directly use Gemini Appto access Deep Think mode without additional application.
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API early access application: Researchers, engineers, and enterprises can use the Gemini API early access programsubmit an application to obtain API call access.
Gemini 3 Deep Think project address
- Project official website：https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-deep-think/
Application scenarios of Gemini 3 Deep Think
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Mathematical theory research: The model can review complex mathematical proofs and identify logical flaws missed by peer review, improving academic rigor.
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Physics and chemistry problem solving: Supports tackling high-difficulty scientific problems at the level of international olympiads, assisting with precise theoretical derivations.
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Algorithm code development: Transform complex ideas into efficient executable code, reaching top-tier level in competitive programming.
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Mechanical Engineering Iteration: The model can accelerate hardware prototype design and validation, bringing the iteration speed of physical products close to software development efficiency.
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3D Printing Manufacturing: Supports analyzing hand-drawn sketches and directly generating 3D printing model files ready for actual production.