Overview
Gemini 3 is Google's most intelligent AI model to date, officially released on November 18, 2025. It represents a significant leap forward in reasoning, multimodality, and agentic AI capabilities. Gemini 3 is Google's best coding and agentic coding model, with exceptional performance on development benchmarks and sophisticated long-horizon planning abilities. The model features a 1 million-token context window, leading multilingual performance, and advanced multimodal understanding across text, images, audio, and video.
Gemini 3 is available in multiple variants, with Gemini 3 Deep Think mode coming soon for Google AI Ultra subscribers, offering even more advanced reasoning capabilities for complex problems.
Capabilities
Gemini 3 demonstrates exceptional capabilities across multiple domains:
- Enhanced reasoning: Superior performance on complex reasoning tasks, enabling better problem-solving and analytical thinking.
- Exceptional coding: Best-in-class coding and agentic capabilities, making it Google's strongest model for software development and agentic applications.
- Advanced multimodality: Leading multimodal understanding and generation across text, images, audio, and video with superior multilingual performance.
- Extended context window: A context window of over 1 million tokens, allowing for analysis of large documents, codebases, and long conversations.
- Long-horizon planning: Superior ability to plan and execute complex, multi-step workflows over extended timeframes.
- Improved tool use: More reliable and consistent tool usage for agentic applications.
- Creative capabilities: High-quality generation of creative content, interactive visualizations, and code for creative projects.
Technical Specifications
Gemini 3's technical architecture represents Google's most advanced AI system:
- Model size: Exact parameter count not publicly disclosed.
- Context window: 1M+ tokens, enabling analysis of large documents, codebases, and extended conversations.
- Training data: Trained on a diverse and extensive dataset, incorporating lessons from previous Gemini versions.
- Architecture: Advanced Transformer-based architecture with improved efficiency, reasoning capabilities, and multimodal integration.
- Safety features: Google's most secure model yet, with the most comprehensive safety evaluations of any Google AI model to date, including reduced sycophancy, increased resistance to prompt injections, and improved protection against misuse.
Architecture
Gemini 3 builds upon Google DeepMind's research advances and lessons learned from previous Gemini versions:
- Mixture-of-Experts (MoE): Likely utilizes an MoE architecture for efficient scaling and performance.
- Enhanced reasoning architecture: Improved ability to handle complex reasoning tasks and multi-step problem-solving.
- Advanced attention mechanisms: Enhanced attention for better understanding of long-range dependencies in the large context window.
- Sophisticated multimodal integration: Native processing of text, image, audio, and video inputs with improved cross-modal understanding.
- Agentic capabilities: Advanced tool use and autonomous task completion capabilities.
- Optimized inference: Better performance-to-cost ratio while maintaining high-quality outputs.
Performance Benchmarks
Gemini 3 demonstrates exceptional performance across key benchmarks:
Coding and Development:
- WebDev Arena: Scores 1487 Elo, topping the leaderboard
- Terminal-Bench 2.0: Achieves 54.2% accuracy, testing tool use ability to operate a computer via terminal
- SWE-bench Verified: Scores 76.2%, greatly outperforming Gemini 2.5 Pro on this benchmark that measures coding agents
Long-Horizon Planning:
- Vending-Bench 2: Tops the leaderboard, demonstrating superior long-horizon planning capabilities
- Maintains consistent tool usage and decision-making for extended periods
- Generates significantly higher returns compared to other frontier models
General Capabilities:
- Reasoning tasks: Superior performance on logical reasoning, mathematical problem-solving, and analytical thinking
- Multimodal tasks: Leading performance on tasks requiring understanding of multiple data types
- Multilingual performance: Leading multilingual capabilities across supported languages
Use Cases
Gemini 3 is suitable for a wide range of applications:
- Software development: Complete application development, interactive UI creation, game development, and agentic coding workflows.
- Learning and education: Generate interactive learning materials, translate handwritten documents, analyze instructional videos, and create personalized learning plans.
- Content creation: Writing articles, marketing copy, technical documentation, and creative content.
- Agentic automation: Automate complex, multi-step business workflows, organize inboxes, and handle long-horizon planning tasks.
- Multimodal applications: Advanced image analysis, audio transcription, video understanding, and cross-modal reasoning.
- Research and analysis: Data interpretation, literature reviews, hypothesis generation, and complex problem-solving.
Limitations
Key limitations to consider:
- Knowledge cutoff: Training data extends into 2025; exact cutoff not public.
- Hallucinations: Can produce plausible but incorrect information.
- Bias: May reflect biases present in training data.
Pricing & Access
Gemini 3 is available across multiple platforms:
For Everyone:
- Gemini app: Available to all users
For Google AI Pro and Ultra Subscribers:
- AI Mode in Search: Enhanced search experiences with Gemini 3
For Developers:
- Google AI Studio: Web-based interface for prototyping and building with Gemini 3
- Gemini API: Access through AI Studio and API
- Google Antigravity: New agentic development platform powered by Gemini 3
- Gemini CLI: Command-line interface for developers
- Third-party platforms: Available in Cursor, GitHub, JetBrains, Manus, Replit, and more
For Enterprises:
- Vertex AI: Enterprise-grade deployment and integration
- Gemini Enterprise: Comprehensive AI platform for organizations
Pricing: Pay-per-use pricing based on input and output tokens. Check the pricing page for current rates.
Coming Soon:
- Gemini 3 Deep Think mode: Available to Google AI Ultra subscribers in the coming weeks
Ecosystem & Tools
Gemini 3 integrates with a comprehensive ecosystem of tools and platforms:
Google Platforms:
- Google AI Studio: Web-based IDE for building with Gemini 3
- Google Antigravity: New agentic development platform that transforms AI assistance into an active partner for software development
- Vertex AI: Google Cloud's MLOps platform for enterprise deployments
- Gemini CLI: Command-line interface for developers
- Gemini app: Consumer application with agentic capabilities
Third-Party Platforms:
- Cursor: AI-powered code editor
- GitHub: Integration with GitHub Copilot and development workflows
- JetBrains: IDE integrations
- Manus: AI development tools
- Replit: Online development environment
Development Frameworks:
- LangChain: Popular framework for building applications with Gemini
- Google AI SDKs: Official client libraries for various programming languages
Community & Resources
The Gemini community provides extensive resources and support: