University of Kwazulu-Natal

Claude Opus 4 5 Vs Gemini 3 Pro What A Week Nothans Com

Bonisiwe Shabane
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claude opus 4 5 vs gemini 3 pro what a week nothans com

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. Two frontier models landed almost at the same time, and the impact is already reshaping how product and engineering teams think about AI adoption. In our AI Weekly Highlights (launched just two days ago), we broke down the two biggest releases: Claude Opus 4.5 and Gemini 3 Pro.

From our early experiments and what we are seeing across the developer community, sentiment is consistent: Gemini 3 Pro is becoming the default for multimodal and large-context tasks thanks to strong performance and efficient... At the same time, our developers still default to GPT-5.1 Codex, Gemini 3, Sonnet 4.5, or Composer 1 for faster inference, because Opus 4.5’s small accuracy edge does not justify paying nearly twice the... Before diving into numbers and infrastructure, here’s the core question driving this comparison: What model should you choose depending on your stack, your cost constraints and the type of intelligence your workflows need? Opus 4.5 is a clear capability jump for Anthropic. In-depth comparison of Claude Opus 4.5 and Gemini 3 Pro across benchmarks, pricing, context windows, multimodal capabilities, and real-world performance.

Discover which AI model best fits your needs. Two AI giants released flagship models within a week of each other in late November 2025. On November 18, Google launched Gemini 3 Pro with the industry's largest context window at 1 million tokens. Six days later, Anthropic responded with Claude Opus 4.5, the first model to break 80% on SWE-bench Verified, setting a new standard for AI-assisted coding. These models represent fundamentally different design philosophies. Gemini 3 Pro prioritizes scale and multimodal versatility: a 1M token context window, native video/audio processing, and Deep Think parallel reasoning.

Claude Opus 4.5 focuses on precision and persistence: Memory Tool for cross-session state, Context Editing for automatic conversation management, and unmatched coding accuracy. This comparison examines where each model excels, where it falls short, and which one fits your specific use case. Claude Opus 4.5 achieves an 80.9% score on SWE-bench Verified, the highest of any AI model. This benchmark tests real GitHub issues: understanding codebases, identifying bugs, and implementing multi-file fixes. For developers working on complex software projects, this represents a step change in AI assistance. This YouTube insight note was created with LilysAI.

Sign up free and get 10× faster, deeper insights from videos. This head-to-head comparison directly pits Claude Opus 4.5 against Gemini 3 Pro, focusing on real-world coding and agent tasks, not just benchmarks. Discover which model offers superior code quality and task completeness for complex projects like building an "Apple-like" website and a Go-based terminal game. Learn about the new, significantly lower pricing for Opus 4.5 and its practical implications for everyday AI use. Introduction of Opus 4.5 and Comparison: Completion Time and Cost Analysis (Test 1):

Completion Time and Cost Analysis (Test 2): 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.

If you’re choosing between Claude 4.5 Opus and Gemini 3 Pro right now, the stakes are real. Claude 4.5 Opus is the best executor on code and tools, while Gemini 3 Pro (and GPT‑5.1) often win on broad reasoning. “Price per solution” beats sticker price-token efficiency and retries swing the total bill. Below: fast takeaways followed by deeper sections on benchmarks, personas, pricing math, policy, product updates, and a practical buyer’s checklist. The Anthropic SWE‑bench leaderboard shows Claude 4.5 Opus with a strong SWE‑bench score (~80.9%), an indicator that Opus reads repos, makes changes, and lands fixes more reliably than peers. Anthropic also cites internal tests where Opus matched or beat human engineer baselines.

See the Claude 4.5 announcement for details. On agentic tool use, chaining API calls, parsing errors, and retrying smartly, Opus generally edges Gemini 3 Pro. These effects show up in terminal/coding settings and in SWE‑bench variants hosted on GitHub. For broad cross‑domain reasoning, Gemini 3 Pro and GPT‑5.1 tend to sit at the top across suites like GPQA Diamond, MMMU/MMU, and MMLU. These benchmarks reward long‑horizon planning and synthesis rather than line‑by‑line execution. “Watch for y‑axis tricks.” Many visualizations zoom on narrow bands (e.g., 75%–85%), making small gaps look huge.

Replot zero‑based to get a clearer sense. 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.). Even during a week that has felt like one endless model release after another.

But I’m not here to tell you this is a big deal because of benchmarks. I’m here to tell you something more useful: How Opus 4.5 actually performed vs. Gemini 3 and ChatGPT 5.1 on messy, real world tests. And I have to give credit where it’s due! My Substack chat came up with this test: specifically credit to reader Kyle C., who suggested a real-world test based on his tree business. Specifically, he had photos of rough tallies for shipped and received trees, and there were discrepancies.

He had tested Gemini vs. Opus 4.5 head-to-head with eye-opening results—I wanted to go farther. So I riffed on Kyle’s idea and came up with the great Christmas tree challenge of 2025:

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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.

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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.

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