Just Now: The Most Powerful AI of the Year Arrives! Musk and Altman Praise Gemini 3 — After Trying It, I Think ChatGPT Should Be Worried
Gemini 3 Pro Preview Edition Released
Just moments ago, Google officially launched the Gemini 3 Pro Preview Edition — a release likely to be the most anticipated large-scale overseas AI model closing out 2025.
Year-end is usually a busy period for AI announcements, but this time Gemini 3 has taken center stage as the sole headline act.

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The Build-Up and Social Teasing
Over the past two months, Google has adopted a promotional playbook reminiscent of Sam Altman, building hype through cryptic hints on social media from figures like Logan Kilpatrick and Sundar Pichai.

Even OpenAI CEO Sam Altman congratulated Google on X:
> “Congrats to Google for successfully launching Gemini 3! Looks like a great model.”
While mystery-teasing can backfire if the product underdelivers, Google’s confidence suggests big capabilities. Let’s see what’s new.
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TL;DR Highlights
- Native multimodal support (text, image, video, audio) in the Preview Edition
- Top of LMArena leaderboard for reasoning, multimodal, programming benchmarks
- Industry-leading reasoning scores: GPQA Diamond 91.9%, MathArena Apex 23.4%
- Deep Think Mode for enhanced reasoning (coming weeks)
- 1M-token context window + 64K-token output capacity
- Launch of Google Antigravity — AI IDE integrating with Cursor, GitHub, JetBrains, and more
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Google’s Most Powerful AI Model Yet
Gemini 3 Pro is described by Google as “the most intelligent and adaptive model” they’ve built, designed for:
- Advanced reasoning, creativity, and strategic planning
- Autonomy in complex app development
- Extremely long-context understanding (1M tokens)
- Seamless multimodal processing (text, images, audio, video)
Benchmark dominance:
- LMArena: 1501 points — #1 overall
- Understands implied meaning in images, not just objects
Reasoning Scores:
- Humanity’s Last Exam: 37.5% doctoral-level
- GPQA Diamond: 91.9%
- MathArena Apex: 23.4% (industry record)
Multimodal Scores:
- MMMU-Pro: 81%
- Video-MMMU: 87.6%
- SimpleQA factual accuracy: 72.1%
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Deep Think Mode
An upcoming mode tuned for maximal reasoning performance:
- Humanity’s Last Exam: 41.0%
- GPQA Diamond: 93.8%
- ARC-AGI-2: 45.1% (unprecedented)

Status: Safety evaluation underway; roll-out to Google AI Ultra subscribers expected soon.
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Practical Applications
Gemini 3 isn’t just a benchmark champion — it shines in real-world use cases:
- Digitizing handwritten, multilingual family recipe books into a polished format
- Summarizing academic papers & lectures into interactive learning cards
- Sports video analysis — e.g., custom pickleball training plans
- Processing text, images, video, audio, and code under one roof

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Integration into Google Search
From launch day, Gemini 3 powers Google Search AI Mode — enabling:
- Better complex query understanding
- Instant creation of interactive tools (e.g., physics simulators, calculators)


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Under the Hood
Architecture: Transformer-based Mixture of Experts (MoE)
Hardware: Trained on Google’s custom TPUs for massive model workloads.
Developer Power:
- Leading video coding model
- WebDev Arena: 1487 Elo
- Terminal-Bench 2.0: 54.2%
- SWE-bench Verified: 76.2%


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Google Antigravity AI IDE
A brand-new environment with an autonomous coding agent capable of:
- Planning complete software workflows
- Writing and testing code
- Simultaneous operations in editor, terminal, and browser
- Automatically verifying correctness
Ranks #1 in long-term planning (Vending-Bench 2).

Pricing:
- API use: $2 / million input tokens, $12 / million output tokens
- Free within Google AI Studio (with call limits)

Ecosystem integrations: Cursor, GitHub, JetBrains, Replit
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Rollout Plan
- Gemini App: All users
- Google AI Pro/Ultra: Search AI Mode
- Developers: Gemini API, Antigravity, Gemini CLI
- Enterprise: Vertex AI, Gemini Enterprise
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Hands-On Performance Testing
Extreme Code Generation Tests
- Game Boy HTML emulator:
- Fully functional, Tetris and Pokémon, keyboard + touch
- UI score: 6–7/10 — surprise success

- Web OS Challenge:
- macOS-like HTML system with text editor, terminal, code editor, file manager, paint, video editor
- Core logic functional, visuals basic


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SVG Design Skills
- Realistic visual fan using SVG — blades, grille, base, buttons
- Smooth rotation animation
- SVG pelican riding a bicycle: balanced proportions, convincing perspective

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Reasoning Test — Monkey & Peaches Puzzle
Gemini produced correct answer + verification, showing sound logical depth.
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Creative Writing & Abstract Interpretation
- Interpreted “nonsense literature” via Daoist & Buddhist philosophical references
- Wrote vivid prose poem from the POV of a raindrop

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Competitive Landscape
Google’s advantage:
- Proprietary TPUs for computational autonomy
- Vast data sources: Search, Scholar, YouTube
- Strong multilingual & video comprehension performance
Upcoming challenge: Winning user loyalty vs. OpenAI’s market mindshare.
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Creator Opportunity
Pairing Gemini 3 with global publishing platforms like AiToEarn官网 allows creators to:
- Generate AI content
- Publish to Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X
- Track analytics & AI model rankings (AI模型排名)
- Monetize across platforms seamlessly
In short: Gemini’s technical leap + AiToEarn’s publishing reach = global creative potential.

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Bottom Line: Gemini 3 Pro Preview isn’t just about specs — it delivers competent results in code generation, multimodal reasoning, creative output, and ecosystem integration. It’s positioned as Google’s most formidable bid yet to challenge ChatGPT’s dominance.
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Do you want me to prepare a side-by-side comparison table of Gemini 3 Pro vs. ChatGPT GPT‑4 Turbo for your readers next? That could make this content even more actionable.