University of Kwazulu-Natal

Compare Claude Sonnet 4 5 Vs Gemini 3 Pro Vs Google Slashdot

Bonisiwe Shabane
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compare claude sonnet 4 5 vs gemini 3 pro vs google slashdot

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. 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." On November 18, 2025, Google DeepMind released Gemini 3 Pro and changed the AI game.

Six days earlier, on November 12, OpenAI released GPT-5.1. Claude Sonnet 4.5 launched in late September. Both are flagship models from OpenAI and Anthropic, representing their latest technology. Google just benchmarked Gemini 3 Pro against both competitors, and the results are not close. Gemini 3 Pro wins by margins that redefine what AI agents can do. I’m going to show you the exact numbers, explain what they mean, and tell you why this marks the shift from chatbot AI to agent AI.

Gemini 3 Pro brings smarter summaries and actionable insights to audio workflows. Compare it to GPT-5, Claude 4.5, and other leading LLMs. Google DeepMind's new Gemini 3 Pro is a leap forward in how AI understands, summarizes, and reasons about complex, multimodal data. Building on Gemini 2.5's strengths, Gemini 3 adds interpretive insight, executive-ready summaries, and improved performance across real-world tasks. According to Inc., Gemini 3 outperformed Anthropic and OpenAI on business operations benchmarks, signaling models that don't just respond to prompts but reason, plan, and act across text, audio, images, and video. Gemini 3 Pro introduces several key improvements over 2.5: Try Gemini 3 on your own audio data in our no-code playground.

Different models serve different workflows. Here's how they stack up for meeting summaries and audio-based insights: 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: 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] The Shifting Landscape: GPT-5.2’s Rise in Developer Usage December 2025 marks a pivotal moment in the AI coding assistant wars. Introduction: Navigating the AI Coding Model Landscape December 2025 brought an unprecedented wave of AI model releases that left developers

Nvidia Makes Its Largest Acquisition Ever with Groq Purchase In a landmark move that reshapes the artificial intelligence chip landscape, Is your Apple Watch’s constant stream of notifications and daily charging routine dimming its appeal? As we look towards Elevate your summer look with 7 AI diamond rings that deliver 24/7 health tracking, heart rate, and sleep insights while matching your style. Claude Sonnet 4.5 and Gemini 3 Flash are often described as “default” models, but they arrive at that position through very different design choices. They simply define that balance in different ways.

This comparison focuses on how each model behaves in everyday professional work, where neither extreme speed nor maximum reasoning depth is the sole priority. Claude Sonnet 4.5 is designed to be dependable across extended workflows. The model emphasizes consistency over immediacy, preferring to reason carefully rather than respond instantly. I tested every available Google Gemini model (Flash, Thinking Flash, and Pro 1206) against Claude Sonnet 3.5 across 47 real-world development tasks. My goal? To cut through the hype and reveal which models actually deliver in production environments.

Gemini Flash models completed simple tasks 3-5x faster than Sonnet 3.5. In one memorable test: “A test case generation task that took Sonnet 3.5 four hours to complete (with errors) was finished by Gemini 2.0 Pro in just 20 seconds with perfect accuracy.” While Gemini models are faster, they exhibit strange behaviors: Through extensive testing, I discovered several optimizations: 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."

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