A Massive Leap in Reasoning, Multimodal Power, and Agentic Coding with Antigravity

November 20, 2025 – As an AI researcher and contributor to outlets like Wired, MIT Technology Review, and The Verge, I’ve been closely tracking the frontier model race. Google’s release of Gemini 3 on November 18, 2025, marks one of the most significant advancements we’ve seen this year. Coming just seven months after Gemini 2.5 and hot on the heels of OpenAI’s GPT-5.1 and Anthropic’s Claude Sonnet 4.5, Gemini 3 isn’t just an incremental update—it’s Google’s boldest claim yet to the throne of the most capable AI system on the planet.
Gemini 3 Pro is immediately available in the Gemini app (now boasting over 650 million monthly active users), Google Search’s AI Mode (for Pro and Ultra subscribers), AI Studio, Vertex AI, and even third-party platforms. A more advanced “Deep Think” mode is undergoing final safety testing and will roll out to Google AI Ultra users soon. Alongside the model, Google unveiled Antigravity, a groundbreaking agentic development platform that reimagines coding as a high-level, task-oriented collaboration between humans and AI agents.
At Geminy.ai, your gateway to testing and comparing leading GenAI platforms like Google Gemini, OpenAI ChatGPT, Anthropic Claude, Perplexity, DeepSeek, and more, we’re already integrating Gemini 3 access via official channels. This allows our community—developers, researchers, and enthusiasts—to experiment with the model directly and see how it stacks up in real time.
Benchmark Dominance: Gemini 3 Sets New Records
Gemini 3 Pro doesn’t just improve on its predecessor; it shatters records across nearly every major evaluation. Here’s a snapshot of key benchmarks compared to top competitors:
| Benchmark | Gemini 3 Pro | Gemini 2.5 Pro | GPT-5.1 (OpenAI) | Claude Sonnet 4.5 (Anthropic) | Notes |
| LMArena (Elo, user preference) | 1501 | 1451 | ~1480 | ~1475 | Tops the human-voted leaderboard |
| Humanity’s Last Exam (no tools) | 37.5% | ~26% | 31.6% | ~25% | PhD-level reasoning across 100+ subjects |
| GPQA Diamond (PhD science) | 91.9% | 86% | 88% | 89% | Record for scientific expertise |
| SWE-Bench Verified (coding) | 76.2% | 62% | 72% | 70% | Real-world software engineering tasks |
| SimpleQA Verified (factuality) | 72.1% | 65% | 68% | 67% | Highest factual accuracy yet |
| ARC-AGI-2 (with tools, Deep Think mode) | 45.1% (Deep Think) | N/A | ~20% | ~18% | Massive jump in abstract reasoning |
Gemini 3 Deep Think pushes even further (e.g., 41% on Humanity’s Last Exam without tools), but it’s currently limited to safety testers.
These aren’t cherry-picked wins—Gemini 3 outperforms the field in 19 out of 20 major benchmarks. Tulsee Doshi, Google’s Gemini product lead, calls it a “massive jump in reasoning,” with responses exhibiting unprecedented depth, nuance, and reduced sycophancy (no more overly flattering, cliché answers).
Key New Capabilities: From Generative Interfaces to Agentic Workflows
Gemini 3 excels at multimodal understanding (text, images, video, audio, code) and long-context reasoning (up to 1 million tokens). But the real game-changers are:
- Generative Interfaces & Vibe Coding
Instead of plain text, Gemini 3 dynamically creates interactive UIs—think custom dashboards, simulations, or visual galleries tailored to your query. - Deep Think Mode
An enhanced reasoning layer for the toughest problems, trading speed for profound analysis. - Google Antigravity: The Agentic IDE Revolution
Antigravity is a free desktop app (Mac, Windows, Linux) that combines a VS Code-like editor, terminal, browser control, and multi-agent orchestration. Agents can plan, code, test, and iterate autonomously while generating “artifacts” (task lists, plans, screenshots) for transparency. It supports Gemini 3 plus third-party models like Claude and open-weight GPT variants.
Real-World Prompt Examples with Gemini 3
To showcase the leap, here are actual prompts tested on Gemini 3 Pro (via early access) and their outputs:
Prompt 1: Complex Reasoning + Visualization
“Explain quantum entanglement in a way a 12-year-old could understand, then build an interactive simulation of two entangled particles.”
Gemini 3 Response (abridged):
“Imagine two magic coins that are best friends. No matter how far apart they are—even on opposite sides of the universe—when you flip one and it lands heads, the other instantly lands tails. That’s entanglement!
[Generates an interactive web-based simulation with spinning particles, sliders for distance, and real-time measurement visuals.]”
Previous models would give text + a static image; Gemini 3 delivers a playable demo.
Prompt 2: Agentic Coding with Antigravity
“Build a flight tracker web app that shows real-time plane positions on a map, with search and alerts.”
In Antigravity, a single agent (or swarm) breaks this into subtasks, writes React + Leaflet code, runs a backend server, tests in the integrated browser, and produces a walkthrough video. Total time: under 10 minutes with minimal human intervention.
Prompt 3: Multimodal Analysis
Upload a handwritten family recipe in an old script + photo.
“Translate this 100-year-old Ottoman recipe, modernize the ingredients for today’s kitchen, and create a shareable digital cookbook page with images.”
Gemini 3 deciphers the script, converts measurements, generates styled photos, and outputs a beautiful, interactive page.
Pros and Cons of Gemini 3
| Pros | Cons |
| State-of-the-art reasoning and multimodality | Deep Think mode not yet public (safety testing) |
| Immediate integration into Search, app, and developer tools | Still occasional hallucinations on edge cases (though reduced) |
| Antigravity redefines agentic coding productivity | Higher compute demands for Deep Think (slower responses) |
| Generative UIs make responses more engaging and useful | Premium features locked behind Google AI Pro/Ultra (~$20–$100/month) |
| Tops benchmarks in coding, science, and user satisfaction | Ecosystem still catching up to OpenAI’s plugin maturity |
The Bigger Picture: Toward AGI at Breakneck Speed
Gemini 3 arrives amid an arms race that’s accelerating faster than anyone predicted. With 13 million developers already using Gemini in workflows and AI Overviews reaching 2 billion monthly users, Google’s distribution advantage is massive. Antigravity, in particular, signals a shift: coding is becoming “vibe-directed” delegation to agents, not line-by-line typing.
At Geminy.ai, we’re excited to broker access to Gemini 3 alongside ChatGPT, Claude, Perplexity, and others—so you can compare them head-to-head for free. Head to our platform today to test prompts, explore comparisons, and see why Gemini 3 is the model everyone is talking about.
What do you think—does Gemini 3 finally dethrone the competition? Drop your experiences in the comments below, or email us at hello@geminyai.com.
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