Powered by Gemini 3

Next-Gen AI with Gemini 3 Pro and Gemini 3 Deep Think

Technical specs and proven performance metrics

Massive Context Window

1M

Tokens

Full monorepo understanding in a single context

~750K

Lines of code

~3,000

Average files

100%

Project awareness

Gemini 3 Pro Capabilities

✨

Vibe Coding

Build complete applications from natural language prompts. Describe your vision, get working code.

🎨

Multimodal Capabilities

Process code, images, design mocks, diagrams, and screenshots seamlessly in one context.

🍌

Nano Banana

Integrated image generation for instant UI assets, icons, illustrations, and mockups.

🧠

Deep Reasoning

Gemini 3 Deep Think provides detailed reasoning for complex architectural decisions.

Proven Performance

Industry-leading scores across multiple benchmarks

SWE-bench Verified

Real-world GitHub issue resolution

76.2%

What It Tests

Ability to understand, modify, and fix real bugs from popular open-source repositories

Why It Matters

Demonstrates practical coding ability on real-world problems, not toy examples

Our Advantage

Large Context Window allows understanding of entire codebases

Terminal-Bench 2.0

Command-line proficiency and tool usage

54.2%

What It Tests

Complex terminal workflows, shell scripting, and developer tool orchestration

Why It Matters

True Autonomous Execution requires mastery of command-line interfaces

Our Advantage

Leading score in Agentic Development category

WebDev Arena

Head-to-head web development challenges

1487

What It Tests

Full-stack web app creation, from UI to backend, judged by human evaluators

Why It Matters

Elo rating system provides objective comparison against competing AI coding assistants

Our Advantage

Top-tier rating demonstrates superior end-to-end development capability

Model Comparison

BenchmarkGemini 3 ProClaude Sonnet 4.5GPT-OSS
SWE-bench Verified76.2%71.8%68.3%
Terminal-Bench 2.054.2%49.7%45.1%
WebDev Arena (Elo)148714321389
Context Window1M tokens200K tokens128K tokens
Multimodal Support✓ Native✓ Limited✗ Text Only

* Benchmark data as of November 2025. Your results may vary based on task complexity.

Model Flexibility

Avoid Model Provider Overload with multiple AI backend options

🔵 Gemini 3 Pro

Default model for most tasks

  • ✓ Best overall performance
  • ✓ Largest context window
  • ✓ Multimodal support
  • ✓ Deep Think reasoning mode

🟣 Claude Sonnet 4.5

Alternative for specific use cases

  • ✓ Strong code quality
  • ✓ Detailed explanations
  • ✓ Safety-focused
  • ✓ Fast response times

🟢 GPT-OSS

Open-source compatibility

  • ✓ Self-hosted options
  • ✓ Cost-effective
  • ✓ Privacy-focused
  • ✓ Customizable

🔄 Automatic Fallback

If one model is unavailable or rate-limited, Antigravity automatically switches to an alternative, ensuring uninterrupted Multi-Agent Collaboration

How Gemini 3 Powers Antigravity

🎯 Intent Classification

Gemini 3 Pro analyzes your Natural Language Commands to determine the appropriate agent type and action plan

📊 Context Assembly

The massive 1M token context window enables loading entire project structures, dependencies, and documentation for comprehensive understanding

🧩 Code Generation

Multimodal Capabilities allow generating code from design mockups, architectural diagrams, or even hand-drawn sketches

🔍 Quality Assurance

Gemini 3 Deep Think validates generated code, checks for security issues, and ensures best practices before presenting to you in the Editor View

Experience the Intelligence of Agent-First Platform

See how Gemini 3 Pro enables Autonomous Execution with complete transparency