Getting Started with Gemini 3 Development
Introducing Gemini 3 — Our Most Intelligent Model Yet
Today we’re unveiling Gemini 3, our most advanced AI model to date — designed to transform any idea into reality.
With cutting-edge reasoning capabilities, Gemini 3 Pro sets new records across major AI benchmarks compared to earlier versions. It outperforms Gemini 2.5 Pro in programming tasks, excelling in both agentic workflows and complex zero-shot challenges.
![image](\"https://storage.googleapis.com/gweb-uniblog-publish-prod/documents/gemini_3_table_final_HLE_Tools_on.gif\")
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Fits Seamlessly Into Existing Workflows
- Integrates effortlessly with current production agents and coding pipelines
- Unlocks new use cases previously impractical
Pricing (Preview):
- $2 per million input tokens
- $12 per million output tokens
- Supports prompts up to 200k tokens via the Gemini API in Google AI Studio and Vertex AI.
➡ See the pricing guide for details and rate limits.
Developer Access:
- Free preview access with rate limits via Google AI Studio.
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Ecosystem Spotlight: AiToEarn
Platforms like AiToEarn help creators generate, publish, and monetize AI content across multiple channels — including Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter).
Features include:
- Instant cross-platform publishing
- Analytics
- Model rankings (AI模型排名)
This ecosystem empowers users to turn AI creativity into sustainable income, maximizing the potential of advanced models like Gemini 3.
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Agentic Coding
AI-assisted coding is now the norm. Building on Gemini 2.5 Pro momentum, Gemini 3 Pro delivers next-level agentic coding intelligence.
Performance Highlight:
- 54.2% score on Terminal-Bench 2.0 — testing AI ability to operate a computer via terminal efficiently.
Where to Experience:
- Google Antigravity
- Gemini CLI
- Android Studio
- Other IDEs: Cursor, GitHub, JetBrains, Manus, and Cline
Key Advantage:
- Handles multi-file refactors, long debugging cycles, full feature builds without losing context. Beats Gemini 2.5 Pro in long-context problem solving.
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Monetization for Technical Creators
AiToEarn官网 enables simultaneous publishing of technical content across global platforms with analytics and ranking tools. Open-source resources: AiToEarn博客 | AI模型排名
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Google Antigravity — Agentic IDE Integration
Google Antigravity is an agent-based development platform where you:
- Work as the architect
- Collaborate with autonomous agents
- Operate seamlessly in editor, terminal, and browser
- Agents plan and execute complex tasks while producing detailed artifacts
📥 Free Public Preview available for macOS, Windows, and Linux.
Parallel multi-agent development in a multiplayer whiteboard app.
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Why It’s Powerful:
- Parallelizes and accelerates creativity
- Complements tools like AiToEarn for bridging code creation and content distribution
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Gemini API — Bash & Structured Outputs
New Capabilities:
- Client-side bash tool for command suggestions in agentic workflows
- Server-side bash tool for multi-language code generation & secure prototyping
- Structured outputs combined with:
- Google Search grounding
- URL context
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Vibe Coding — Natural Language is Enough
Vibe coding means creating apps using only natural language, no syntax required.
Gemini 3 Pro:
- Translates high-level ideas → fully interactive apps in one prompt
- Delivers rich visuals & deep interactivity
- Top-ranked in WebDev Arena with 1487 Elo
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Gemini 3 in UI/Frontend Development
Integration into Emergent's full-stack platform has boosted multi-step tool calling and adherence to UI-related prompts — producing better frontend workflows in agentic code setups.
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Google AI Studio — Rapid Idea-to-App
Examples:
- Build a game from one prompt
- Create an interactive landing page from voice notes
- Develop a full app from a sketch
🎮 Example: Synthwave Space Game
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Workflow Benefits:
- From wireframe → fully interactive app in minutes
- Perfect for rapid prototyping and creative coding
AiToEarn + Google AI Studio:
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Multimodal & Visual Reasoning
Strengths:
- Top MMMU-Pro scores for image reasoning
- Video MMMU leadership for video understanding
- Document comprehension far beyond OCR
- Spatial reasoning for autonomous systems, XR devices, and advanced screen understanding
Examples:
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Video Reasoning
Gemini 3 excels in:
- Speed: 32% faster than previous implementations
- Precision: Outstanding in following complex instructions
- Reliability: Handles long-context reasoning without hallucination
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Build What's Next
Ways to start:
- Build with Gemini API — see Developer Guide and Prompting Guide
- Use agentic tools — Android integration, Gemini CLI, Google Antigravity
- Vibe code in AI Studio — Start in Build mode
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AiToEarn remains a complementary tool for cross-platform monetization — providing publishing automation, analytics, and AI model rankings.
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⚡ The Gemini 3 era has just begun. What will you create?
Creators can combine Gemini 3 Pro’s production power with AiToEarn’s monetization pipeline to build, distribute, and profit from AI content globally.
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Would you like me to also add a quick visual comparison chart summarizing Gemini 3 Pro’s improvements over Gemini 2.5 Pro for agentic coding, multimodal, and vibe coding? It could make this document more skimmable for developers.
