University of Kwazulu-Natal

Chatgpt 5 1 Codex High Vs Gemini 3 Pro Vs Claude Sonnet 4 5 For Coding

Bonisiwe Shabane
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chatgpt 5 1 codex high vs gemini 3 pro vs claude sonnet 4 5 for coding

One silly web game and a surprising result When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. I've dreamed of this silly game for years, and only Gemini 3 could bring it partially to life. Google unveiled its powerful new Gemini 3 models this week, and I decided to take Gemini 3 Pro for a test drive on one of my pet projects: Thumb Wars, a digital version of... You know the one, where you grasp each other's hands and then use just your thumbs to battle it out or "wrestle".

To win, you simply have to "pin" the opponent's thumb under your own. For the digital version, I envisioned a virtual ring and some floating thumbs all controlled by screen taps or keyboard controls. With the release of a far smarter Gemini, I thought I would let it try its hand, er, virtual thumb at it. To qualify my opinion, I recently received my GPT year in review. 16,850 messages over 1,263 conversations 😳. I've been paying for ChatGPT since it came out, but over the past 3 months, I've been using both Claude code and more recently Gemini 3.

From a usage perspective, I leverage them all in the terminal in my IDE (not using cursor or plugins), just straight up CLI in the terminal to code a bunch of different things using... TLDR: If I had to pick one, I'd still pick Codex in December of 2025, but the longer answer is more nuanced -- but first some fun: Anthropic has really nailed the agentic UX. I'm so comfortable with it that I often will open up a terminal over a browser. The tools they provide to help understand status, context, and what the agent is doing is being copied by both Google & OpenAI. Claude is hands down the best at planning new ideas.

In particular it is really great at front-end UI/UX design. Honestly, it is probably my favorite if only it was slightly better at executing. If the scope of a problem/context gets too large, it tends to easily drift/forget and introduces small bugs and defects. These are minor, and if you can provide Claude with the tools to self-check, the agentic experience is excellent. Which codes better, Claude 4.5 Sonnet or Gemini 3 Pro? We compare websites, dashboards, games, music, and price to help you pick an AI for

Claude 4.5 vs GPT-5.1 vs Gemini 3 Pro — and what Claude 5 must beat November 2025 saw a seismic shift in the LLM market. GPT-5.1 (Nov 13) and Gemini 3 Pro (Nov 18) launched within days of each other, dramatically raising the bar for Claude 5. Here's what Anthropic is up against: With 77.2% on SWE-bench Verified—the highest score ever achieved—Claude Sonnet 4.5 is the undisputed king of coding AI. It achieved 0% error rate on Replit's internal benchmark, demonstrating unprecedented reliability for production code.

Gemini 3 Pro scored 31.1% on ARC-AGI-2 (the 'IQ test' for AI), a 523% improvement over its predecessor. It won 19 out of 20 benchmarks against Claude 4.5 and GPT-5.1, with a massive 1M token context window. GPT-5.1 achieved 76.3% on SWE-bench and 94% on AIME 2025 (top 0.1% human performance in mathematics). Its adaptive reasoning feature dynamically adjusts thinking time, providing 30% better token efficiency than GPT-5. 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. 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. The AI landscape in late 2025 is more competitive than ever. Just weeks ago, Google launched Gemini 3 Pro, quickly followed by Anthropic’s Claude Opus 4.5, and now OpenAI has responded with GPT-5.2 — released on December 11 after an internal “code red” to reclaim... These three frontier models — ChatGPT 5.2 (powered by GPT-5.2), Gemini 3 Pro, and Claude Opus 4.5 — represent the pinnacle of generative AI. They excel in advanced reasoning, coding, multimodal tasks, and real-world applications. For developers, researchers, businesses, or everyday users, selecting the right model can dramatically boost productivity.

At Purple AI Tools, we’ve analyzed the latest benchmarks, official announcements, independent evaluations, and real-user tests to create this in-depth comparison. We’ll examine performance metrics, capabilities, pricing, accessibility, strengths/weaknesses, and ideal use cases. By the end, you’ll have a clear, unbiased view of which model best fits your needs in this rapidly evolving space. Released December 11, 2025, GPT-5.2 is OpenAI’s rapid response to competitors. Available in three variants: It focuses on professional knowledge work, with improvements in tool-calling, vision, and reduced errors (38% fewer than predecessors). OpenAI claims it outperforms or matches human experts on 70.9% of GDPval tasks — a benchmark for occupational knowledge work.

ChatGPT 5.2, Claude Opus 4.5, and Gemini 3 represent the highest tier of capability within their respective ecosystems. These are not speed-first assistants or lightweight productivity tools. They are flagship reasoning systems, designed for complex analysis, long-context synthesis, and professional decision support. This comparison examines how each model defines intelligence at the top end, and why their differences matter in real-world use. ChatGPT 5.2 is built to operate across a wide spectrum of tasks without forcing users to choose between modes or mental models. December 2025 turned into a heavyweight AI championship.

In six weeks, Google shipped Gemini 3 Pro, Anthropic released Claude Opus 4.5, and OpenAI fired back with GPT-5.2. Each claims to be the best for reasoning, coding, and knowledge work. The claims matter because your choice directly affects how fast you ship code, how much your API calls cost, and whether your agent-driven workflows actually work. I spent the last two days running benchmarks, testing real codebases, and calculating pricing across all three. The results are messier than the marketing suggests. Each model wins in specific scenarios.

Here's what the data actually shows and which one makes sense for your stack. Frontier AI models have become the default reasoning engine for enterprise workflows. They're no longer just chat interfaces. They're embedded in code editors, running multi-step tasks, analyzing long documents, and driving autonomous agents. The difference between a model that solves 80 percent of coding tasks versus 81 percent sounds small. At scale, it's weeks of developer productivity or millions in API costs.

ChatGPT 5.2, Claude Opus 4.5, and Gemini 3 represent the highest tier of capability within their respective ecosystems. In-depth comparison of ChatGPT, Claude, and Gemini. Compare features, pricing, strengths, and which AI model is best for your specific needs. The AI landscape in 2025 is dominated by three powerhouse models: ChatGPT (OpenAI), Claude (Anthropic), and Gemini (Google). Each has carved out its own niche, with distinct strengths, weaknesses, and ideal use cases. If you're trying to decide which AI assistant to use—or whether to use multiple models—this comprehensive comparison will help you make an informed decision based on real-world testing and practical experience.

I asked all three to build a React component with TypeScript, state management, and API integration. Claude produced the most production-ready code with proper error handling and TypeScript typing. ChatGPT was close behind. Gemini's code worked but needed more refinement. I tested all three models on identical prompts across different categories. Here are the results:

Here's what happened in 11 challenging tests When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. The AI wars just heated up with two major launches this month: Google's Gemini 3 arrived today with promises of "state-of-the-art reasoning" and the ability to "bring any idea to life," while OpenAI's ChatGPT-5.1... Both companies are positioning their latest models as significant leaps forward in AI capabilities, but which one actually delivers? I put both through a rigorous 11-round gauntlet testing everything from image analysis and coding to creative writing and real-time reasoning to find out which frontier model truly deserves your attention and toughest prompts.

Prompt: “Here’s a photo of the inside of my freezer. Suggest five meals I can make using only what’s visible. Keep steps short and realistic.”ChatGPT-5.1 offered creative and kid-friendly meal hacks, but made several assumptions about ingredients that were not explicitly visible (like butter, salt and soy sauce), which strayed from the prompt's instructions.

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