Gemini 3 Pro Vs Claude 4 5 Sonnet For Coding Which Is Better Viblo

Bonisiwe Shabane

-Jan 2, 2026, 6:06 AM

gemini 3 pro vs claude 4 5 sonnet for coding which is better viblo

ChatGPT Plus costs around BRL 100 per month in Brazil in 2026, reflecting the local equivalent of OpenAI’s standard $20/month ChatGPT Plus costs around ₹2000 per month in India in 2026, reflecting OpenAI’s global base pricing after conversion to Indian 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: Both Gemini 3 Pro (Google/DeepMind) and Claude Sonnet 4.5 (Anthropic) are 2025-era flagship models optimized for agentic, long-horizon, tool-using workflows — and both place heavy emphasis on coding. Claimed strengths diverge: Google pitches Gemini 3 Pro as a general-purpose multimodal reasoner that also shines at agentic coding, while Anthropic positions Sonnet 4.5 as the best coding/agent model in the world with particularly... Short answer up front: both models are top-tier for software engineering tasks in late 2025. Claude Sonnet 4.5 nudges ahead on some pure software-engineering bench metrics, while Google’s Gemini 3 Pro (Preview) is the broader, multimodal, agentic powerhouse—especially when you care about visual context, tool use, long-context work and...

I currently use both models, and they each have different advantages in the development environment. I will now compare them in this article. Gemini 3 Pro is only available to Google AI Ultra subscribers and paid Gemini API users. However, the good news is that CometAPI, as an all-in-one AI platform, has integrated Gemini 3 Pro, and you can try it for free. Gemini 3 Pro (available initially as gemini-3-pro-preview) is Google/DeepMind’s latest “frontier” LLM in the Gemini 3 family. It’s positioned as a high-reasoning, multimodal model optimized for agentic workflows (that is, models that can operate with tool use, orchestrate subagents, and interact with external resources).

It emphasizes stronger reasoning, multimodality (images, video frames, PDFs), and explicit API controls for internal “thinking” depth. 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. 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...

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.). Claude 4.5 dominates long-horizon planning with 77.2% SWE-bench. Gemini 3 wins on multimodal tasks. See real benchmark data and best practices for agent development.

As of November 2025, Claude Sonnet 4.5 and Gemini 3 Pro have emerged as the two dominant models for AI agent development, each excelling in different domains. The key question isn't "which is better?"—it's "which is better for your use case?" This comprehensive guide breaks down real benchmark data, developer feedback, and best practices to help you choose the right model for building autonomous AI agents. All data is sourced from verified benchmarks, official documentation, and independent testing from November 2025. 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. 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:

Gemini 3 Pro Vs Claude 4 5 Sonnet For Coding Which Is Better Viblo

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