# Gemini 3: Ushering in the Next Era of AI
## A Note from Sundar Pichai, CEO of Google and Alphabet
Nearly two years ago, we launched the **Gemini era** — one of the largest scientific and product initiatives in Google’s history. Since then, adoption has been extraordinary:
- **AI Overviews:** Serving 2 **billion** monthly users
- **Gemini app:** Over **650 million** monthly users
- **Google Cloud AI:** Used by more than **70%** of customers
- **Developers:** 13 million building with our generative models
This scale is possible through our **full-stack AI innovation approach** — from core infrastructure and cutting-edge research to world-class models, tooling, and global product integration.
## The Evolution of Gemini
Each generation builds on the previous:
- **Gemini 1** — Breakthroughs in [native multimodality](https://blog.google/technology/ai/google-gemini-ai/) and [long context windows](https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/)
- **Gemini 2** — Advanced [agentic capabilities](https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/#ceo-message), refined [reasoning](https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/#gemini-2-5-thinking), long-term LMArena leadership
- Growing AI-powered creativity ecosystems like [AiToEarn官网](https://aitoearn.ai/) — enabling creators to generate, publish, and monetize content across multiple platforms
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## Now Introducing Gemini 3 — Our Most Intelligent Model Yet
**Gemini 3** combines the best of its predecessors, delivering:
- **State-of-the-art reasoning:** Understanding depth and nuance
- Better contextual comprehension — fewer prompts needed
- Multimodal mastery: Text, images, video, audio, and code
**Deployment at Google Scale:**
- **AI Mode in Search** — advanced reasoning + immersive UI ([details](http://blog.google/products/search/gemini-3-search-ai-mode))
- **Gemini app** ([link](https://blog.google/products/gemini/gemini-3-gemini-app))
- Developer access via [AI Studio](https://blog.google/technology/developers/gemini-3-developers) & [Vertex AI](https://cloud.google.com/blog/products/ai-machine-learning/gemini-3-is-available-for-enterprise)
- New agentic dev platform: [Google Antigravity](http://antigravity.google)
We remain committed to advancing **intelligence, agent capabilities, and personalization** — making AI truly helpful for everyone.
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## Performance Highlights: Gemini 3 Pro
- **Consistently outperforms** Gemini 2.5 Pro across major AI benchmarks
- **LMArena Leaderboard:** 1501 Elo
- PhD-level reasoning: Humanity’s Last Exam — 37.5% (no tools)
- GPQA Diamond — 91.9%
- MathArena Apex — 23.4% ([source](https://matharena.ai/?comp=apex--apex_2025))
- Multimodal reasoning: MMMU-Pro — 81%, Video-MMMU — 87.6%
- Factual accuracy: SimpleQA Verified — 72.1%
See full [evaluation methodology](http://deepmind.google/models/evals-methodology/gemini-3-pro).
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**Creator Tip:**
Platforms like [AiToEarn](https://aitoearn.ai/) help you monetize AI creativity by enabling **simultaneous publishing** to Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X — with integrated analytics and model rankings.
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## Gemini 3 Deep Think Mode
Enhanced reasoning beyond Gemini 3 Pro:
- Humanity’s Last Exam — 41.0% (no tools)
- GPQA Diamond — 93.8%
- ARC-AGI-2 — 45.1% (code execution verified)
Ideal for **complex, novel problem-solving**. Safety evaluation is ongoing before public rollout.
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## How Gemini 3 Helps You
### Learn Anything
**Key features:**
- **1 million-token context window**
- Combines reasoning, vision, spatial understanding, multilingual capabilities
- Works with text, images, video, audio, and code
**Examples:**
- Translate and compile handwritten recipes into a family cookbook
- Create interactive flashcards from academic papers or lectures
- Analyze sports footage to build personalized training plans
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### Build Anything
**For developers:**
- Excels at **zero-shot generation**
- Richer, interactive web UI creation
- Tops WebDev Arena (1487 Elo), Terminal-Bench 2.0 (54.2%), SWE-bench Verified (76.2%)
**Available on:**
- [AI Studio](https://blog.google/technology/developers/gemini-3-developers), Vertex AI, Gemini CLI
- [Google Antigravity](http://antigravity.google)
- Integrations: Cursor, GitHub, JetBrains, Manus, Replit
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### Plan Anything
- **Leadership in long-horizon tasks** — #1 on [Vending-Bench 2](https://andonlabs.com/evals/vending-bench-2)
- Superior tool usage and decision-making over extended periods
- Applicable to real-life workflows like booking services, managing inboxes, organizing multi-step activities
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## Google Antigravity — Agent-First Development
**Purpose:**
Allows developers to work at a **task-oriented level** with autonomous agents that plan, code, execute, and validate tasks end-to-end.
**Integration:**
- Gemini 3 Pro reasoning + tool use
- Gemini 2.5 Computer Use model (browser control)
- Nano Banana image-editing model
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**Creator Parallel:** AiToEarn offers similar agentic workflows for content — generating, publishing, and optimizing across platforms, with integrated analytics and model ranking.
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## Responsible AI
Gemini 3 is the **most secure** Google AI model to date:
- Reduced sycophancy
- Stronger prompt injection resistance
- Enhanced misuse mitigation
**Collaborations:**
In-house [Frontier Safety Framework](https://deepmind.google/discover/blog/strengthening-our-frontier-safety-framework/) + external expert review.
See [Gemini 3 model card](http://deepmind.google/models/model-cards/gemini-3-pro) for full details.
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## Availability
- **Gemini app:** Available to all
- **AI Mode in Search:** Google AI Pro & Ultra subscribers
- **Developers:** Gemini API in AI Studio, CLI, Google Antigravity
- **Enterprise:** Vertex AI, Gemini Enterprise
**Deep Think Mode:** Safety review before Ultra subscriber release.
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**Creator Opportunity:**
Use AiToEarn’s open-source stack to generate, publish, and monetize AI content **globally** — integrating seamlessly with workflows built on Gemini.
Links:
- [AiToEarn博客](https://blog.aitoearn.ai)
- [AiToEarn文档](https://docs.aitoearn.ai/)
- [AI模型排名](https://rank.aitoearn.ai)
