University of Kwazulu-Natal

Compare Gemini 3 Pro Vs Claude Sonnet 4 5 2025

Bonisiwe Shabane
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compare gemini 3 pro vs claude sonnet 4 5 2025

Google's Gemini 3 Pro crushes 19/20 benchmarks against Claude 4.5 and GPT-5.1. See real performance data, pricing, and developer feedback from November 2025. On November 18, 2025—just six days after OpenAI released GPT-5.1—Google dropped Gemini 3 Pro and immediately claimed the crown. According to independent testing, Gemini 3 achieved the top score in 19 out of 20 standard benchmarks when tested against Claude Sonnet 4.5 and GPT-5.1. But does that make it the best model for your use case? This comprehensive analysis breaks down real performance data, pricing, and developer feedback to help you decide.

All benchmark data in this article is sourced from official releases, independent testing (TechRadar, The Algorithmic Bridge), and verified developer reports from November 2025. This benchmark tests abstract reasoning—the closest thing we have to an AI "IQ test." Detailed comparison of capabilities, features, and performance. View detailed specifications and capabilities View detailed specifications and capabilities Access both Gemini 3 Pro and Claude 4.5 Sonnet in a single workspace without managing multiple API keys.

This YouTube insight note was created with LilysAI. Sign up free and get 10× faster, deeper insights from videos. This content offers crucial AI model comparison by benchmarking the new Gemini 3 Pro against rivals like Claude 4.5 and GPT-5.1. It provides actionable coding insights by demonstrating how each model handles complex Next.js development tasks, third-party libraries, and UI design prompts. You will discover which large language model excels in real-world full-stack web development and advanced glass morphism styling. Introduction of Gemini 3 Pro Launch and Comparison Context [0]

Benchmarking Methodology and SWV Bench Results [9] Massive Performance Gap in Screen Understanding [16] Search Engine Optimization (SEO) is the backbone of online visibility, but the cost of premium software can be daunting for If you are asking, “What is the best military grade smartphone?”, you aren’t looking for a fragile glass slab that If you are asking, “What is the best waterproof smartwatch?”, you aren’t just looking for a gadget that survives a Marketing leaders face a pivotal question: Should we allocate resources toward building visibility in AI-generated responses, or maintain focus on

A diamond ring for women in 2025 blends luxury with smart health features, tracking heart rate, sleep, and more for style and wellness in one elegant piece. Google launched Antigravity and Gemini 3 two days ago. I’ve spent the last 48 hours testing both—and comparing Gemini 3 Pro vs Claude Sonnet 4.5 in real-world coding tasks. If you’ve been following the AI coding tool space, you’ve probably noticed Antigravity looks a lot like Windsurf. That’s because Google acquired the Windsurf team in July for $2.4 billion and licensed the technology. Internally at Google, this acquisition happened through DeepMind, where the Windsurf founders landed.

I got my first look at Antigravity not long before the public did. I tested Gemini 3 Pro through Gemini CLI on several coding tasks. In my unscientific but practical tests, Gemini 3 Pro shows more complete responses than Claude Sonnet 4.5, especially when paired with Gemini CLI. The model feels different. More thorough. Less likely to give you a partial solution and wait for you to ask for the rest.

This aligns with what I saw in the internal Gemini 3 snapshots I tested before the public release on other Google platforms. TechRadar ran a comparison where Gemini 3 Pro built a working Progressive Web App with keyboard controls without being asked. Claude struggled with the same prompt. The benchmark data backs this up. Gemini 3 Pro scored 2,439 on LiveCodeBench Pro compared to Claude Sonnet 4.5’s 1,418. After three caffeine-fueled nights comparing Gemini 3.0 Pro against Claude 4.5 Sonnet across real coding tasks, here’s what I learned: Google’s latest model delivers stunning results when it works, but comes with frustrating quirks.

Let’s cut through the hype and see how these AI heavyweights actually perform for development work. When I threw a complex React/TypeScript dashboard project at both models: // Gemini’s TypeScript example – notice the strict typing interface DashboardProps { metrics: RealTimeMetric[]; onUpdate: (payload: MetricPayload) => void; // This specificity prevents bugs } The responsive e-commerce card test revealed: After smashing my keyboard through 65% failed CLI attempts: This software hasn't been reviewed yet.

Be the first to provide a review: The final weeks of 2025 have delivered the most intense three-way battle the AI world has ever seen. Google dropped Gemini 3 on November 18, OpenAI countered with GPT-5.1 just six days earlier on November 12, and Anthropic’s Claude Sonnet 4.5 has been quietly refining itself since September. For the first time, we have three frontier models that are genuinely close in capability—yet dramatically different in personality, strengths, and philosophy. This 2,400+ word deep dive is built entirely on the latest independent benchmarks, real-world developer tests, enterprise adoption data, and thousands of hours of hands-on usage logged between October and November 2025. No speculation, no recycled 2024 talking points—only what actually matters right now.

Gemini 3 currently sits alone at the top of almost every hard-reasoning leaderboard that matters in late 2025.1: In practical terms, this means Gemini 3 is the first model that can reliably solve problems most human experts would need hours—or days—to crack. Real-world example: When prompted to reverse-engineer a 17-minute WebAssembly optimization puzzle posted on Reddit, Claude was the only model to find the correct solution in under five minutes in September. By November, Gemini 3 now solves the same puzzle in 38 seconds and explains it more concisely.

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