Gemini 3 – Google’s Next-Generation AI Model for Multimodal Understanding and Reasoning

What is Gemini 3?

Gemini 3 is Google’s latest AI model and is regarded as one of the most advanced systems for multimodal understanding and reasoning. It delivers exceptional reasoning capabilities, breaking multiple benchmark records—ranking No. 1 on the LMArena Leaderboard with an Elo score of 1501. Gemini 3 supports multimodal inputs including text, images, and video, enabling it to handle complex questions and provide reliable answers. With its new Deep Think mode, the model achieves stronger performance on difficult reasoning tasks. Gemini 3 can be applied to learning, knowledge acquisition, and developer workflows, greatly enhancing application development efficiency.Users can now access Gemini 3 through Google AI Studio, Vertex AI, the Gemini CLI, and Google’s newly launched agent development platform Google Antigravity. It is also supported on third-party platforms such as Cursor, GitHub, JetBrains, Manus, and Replit, giving developers a wide range of options for building applications.

Key Features of Gemini 3

Advanced reasoning ability:
Gemini 3 Pro delivers top-tier reasoning performance, breaking multiple benchmarks. It tops the LMArena Leaderboard with an Elo score of 1501 and demonstrates PhD-level complex problem-solving.

Multimodal understanding:
Supports text, images, and video. Gemini 3 achieves 81% on MMMU-Pro and 87.6% on Video-MMMU, handling complex charts and dynamic video streams.

Deep Think mode:
Enhances multi-step reasoning and excels at solving complex tasks that require deeper analysis.

Learning and knowledge acquisition:
Helps users learn new concepts—e.g., interpreting handwritten recipes or generating interactive learning tools. It can analyze video content and produce tailored training plans.

Development and software building:
As Google’s most capable programming model, it supports zero-shot generation and intricate prompt handling, significantly improving development efficiency.

Planning and task management:
Upgraded agent capabilities allow long-horizon planning and complex task execution.

New developer experience:
Works seamlessly with Google Antigravity for end-to-end software automation and supports Google AI Studio and Vertex AI across platforms.

Safety and reliability:
Undergoes comprehensive safety testing, reduces sycophancy, strengthens resistance to prompt injection, improves cybersecurity reliability, and enhances factual accuracy.

Gemini 3 Performance Highlights

Elite reasoning performance:

• #1 on LMArena with 1501 Elo.

• 37.5% on the “Ultimate Human Test.”

• 91.9% on GPQA Diamond.

Leading multimodal understanding:

• 81% on MMMU-Pro

• 87.6% on Video-MMMU

Deep Think mode breakthroughs:

• 41.0% on the “Ultimate Human Test”

• 93.8% on GPQA Diamond

• 45.1% on ARC-AGI-2
  Significantly improves complex reasoning.

Outstanding mathematical capability:

• 23.4% on MathArena Apex — setting a new performance standard.

Higher factual accuracy:

• 72.1% on SimpleQA Verified.

Major improvements in development efficiency:

• #1 on WebDev Arena with 1487 Elo, excelling in building complex web UIs and applications.

Better tool-use proficiency:

• 54.2% on Terminal-Bench 2.0.

• Strong improvements on SWE-bench Verified.

Enhanced long-horizon planning:

• Tops Vending-Bench 2, demonstrating excellent multi-step task planning and coherent decision-making.

How to Use Gemini 3

For general users:
Use directly via Gemini, or experience it through Google AI Pro and Ultra subscription search modes.

For developers:
Access via Google AI Studio, Vertex AI, Gemini CLI, or the new Google Antigravity agent development platform.

For enterprises:
Integrate through Vertex AI or the Gemini Enterprise Edition.

Deep Think mode:
Available to Google AI Ultra subscribers in the coming weeks (currently undergoing safety review).

Pricing of Gemini 3

Gemini 3.0 Pro introduces tiered pricing based on context length:

For tasks ≤ 200k tokens:

• Input: $2.00 per million tokens

• Output: $12.00 per million tokens

For tasks > 200k tokens:

• Input: $4.00 per million tokens

• Output: $18.00 per million tokens

Application Scenarios of Gemini 3

Education and learning:
Generates multimodal interactive learning tools and helps users acquire knowledge efficiently.

Development and programming:
Supports zero-shot generation and complex prompt processing to significantly accelerate development.

Task planning and management:
Agent capabilities enable long-horizon planning, helping manage complex tasks and schedules.

Content creation:
Generates high-quality creative content—poetry, stories, game code—empowering creators.

Knowledge management and search:
Enhances Google Search with a generative, intelligent UI to help users access and synthesize information more effectively.