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New Gemini 3 Pro Vs Claude 4 5 Insane Benchmarks Lilys Ai

Bonisiwe Shabane
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new gemini 3 pro vs claude 4 5 insane benchmarks lilys ai

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] We rarely find ourselves in a position where the biggest companies in the world are engaged in a race to dominate an entire field. Since the launch of GPT-3, Artificial Intelligence (AI) has fundamentally changed the world’s operational lifecycle. But what are the Best LLM in 2026? This has sparked a billion-dollar AI race, with tech giants pouring investments into creating the next large language model—each one claiming to be the ultimate, universally-adopted standard.

By the end of 2025, the competition intensified: Anthropic released Claude 4.5 Opus, Google pushed out Gemini 3, and OpenAI launched GPT-5.1. But with all three on the table, a critical question remains: Which model is truly the best for your specific use-case? And which one should power your work throughout 2026? Large Language Models (LLMs) are now everywhere—embedded in everything from customer service channels and productivity tools to complex engineering workflows and back-office operations. 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] Note: this post was last updated in March 2025 to... If you've ever used ChatGPT and received an error message or an inaccurate response, you might have wondered if a better alternative is available. After all, developers are currently flooding the large language model (LLM) market with new and updated models.

Even as machine learning developers ourselves, keeping up with the capabilities of each new LLM is arduous. In this article, we'll present a detailed comparison of three key players in the competitive landscape of LLMs - Anthropic's Claude 3.5 Sonnet, OpenAI's GPT-4o and Google Gemini. Our machine learning team has worked with each of these models and will provide a robust, referenced analysis of each model. Exploring price, explainability, and more, we'll compare each LLM to crown a winner. Skip doing your own research - let's find out which LLM you should be using. OpenAI's GPT-4.5 (released February 2025) Anthropic's Claude 3.7 Sonnet (released March 2025) AI models move fast — and different models are good at different things (speed, reasoning, coding, multimodal, cost, etc.).

That’s why “which model should I use?” has become a real workflow decision, not just a tech question. In this guide, I’ll cover today’s most popular AI models (including LLMs and a leading image model), keep it practical, and update the list over time as new releases land. GPT-5.2-Codex is a specialized version of GPT-5.2 optimized for agentic coding (long-horizon software tasks, refactors, migrations, terminal workflows). 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. 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." For a few weeks now, the tech community has been amazed by all these new AI models coming out every few days.

🥴 But the catch is, there are so many of them right now that we devs aren't really sure which AI model to use when it comes to working with code, especially as your daily... Just a few weeks ago, Anthropic released Opus 4.5, Google released Gemini 3, and OpenAI released GPT-5.2 (Codex), all of which claim at some point to be the "so-called" best for coding. But now the question arises: how much better or worse is each of them when compared to real-world scenarios? If you want a quick take, here is how the three models performed in these tests: This past week was one of those moments where you just lean back and enjoy the ride.

Google dropped Gemini 3 Pro. Anthropic dropped Claude Opus 4.5. Both landed within days of each other. If you work in AI, this is the good stuff. Google went a different direction. Gemini 3 Pro is all about reasoning, multimodal inputs, and that million-token context window.

The benchmark numbers are wild. It hit 91.9% on GPQA Diamond. On ARC-AGI-2, the abstract reasoning benchmark, it scored 31.1% (and up to 45% in Deep Think mode). That is a huge leap over previous models. On LMArena it took the top ELO spot. If your work is heavy on reasoning, vision, video, or you need to throw massive context at a problem, Gemini 3 Pro is built for that.

Anthropic announced Opus 4.5 on November 24, 2025. They are calling it the best model in the world for coding, agents, and computer use. Bold claim. 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:

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