New ChatGPT 5.3 Codex DESTROYS Claude Code?

New chat GPT 5. 3 codeex destroys claude code. Open AAI just dropped something insane. GPT 5. 3 codeex is here and it's making clawed code look slow. This thing codes, debugs, and runs entire workflows by itself. I'm breaking down the benchmarks, the new features, and who actually wins this AI coding war. And everyone's asking the same question. Does this thing actually beat Claude Code, or is it just another overhyped update I spent the last day? digging through every benchmark, every feature, and every comparison I could find. And what I found is pretty wild. Let me break this down for you. GPT 5. 3 Codeex

isn't just a coding assistant anymore. It's an autonomous software agent. It writes code. It debugs code. It runs terminal commands. It interacts with your desktop. It does the entire workflow, not just the code part. Think about that for a second. You tell it what you want. It figures out how to build it. It writes the code. It tests it. It fixes the bugs and it keeps going until it's done. That's not a tool anymore. That's a teammate. Now, here's where it gets interesting. Open AAI is claiming this is the fastest and most capable coding agent they've ever built, but claims are cheap. So, I looked at

the actual numbers. The benchmarks tell a different story than what most people are talking about. On SW Bench Pro, which tests real world coding tasks, GPT 5. 3 codec scored 56. 8%. That's basically the same as the previous version at 56. 4%. So on pure coding ability is not some massive jump, but that's not where the magic happens. Look at Terminal Bench 2. 0. This tests how well the AI can actually use command line tools and real developer workflows. GPT 5. 3 codec scored 77. 3%. The old version 64%. That's a huge jump. This means it's way better at doing the stuff developers actually do every day. running commands, setting up environments, debugging in real time. And here's the kicker. On OSWorld Verified, which tests computer use tasks like navigating operating systems and using desktop apps, GPT 5. 3 codecs hit 64. 7%. The previous version was at 38. 2%. That's almost double, and it's getting close to human level performance, which is around 72%. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. So, what does all this actually mean? It means GPT 5. 3 Codeex isn't just better at writing code, is better at being a real developer. It can navigate your computer. It can run tools. It can execute multi-step workflows without you babysitting it. That's the difference between a code generator and an actual coding agent. Now, let's talk about the

new features because this is where things get really interesting. First up, Agentic Coding. GPT 5. 3 Codeex doesn't just spit out code and stop. It executes tasks in real environments. It runs commands in your terminal. It interacts with your desktop. It coordinates multi-step workflows. You can literally tell it to build something and it'll handle the entire process from start to finish. That's not how coding tools worked before. This is a different game. Second, midtask steering. This one's huge. You can interact with codeex while it's running a long workflow. You can change goals mid run. You don't have to stop it. Start over and reexlain everything. You just tell it what you want differently and it adapts. That's how you'd work with a human teammate, not a script. Third is way more efficient. GPT 5. 3 Codeex uses less than half the tokens of the previous version for similar tasks and it runs about 25% faster per token. So, it's not just better at what it does, is faster. That matters when you're running this thing all day on real projects. Here's

something that caught my attention. GPT 5. 3 Codeex is the first model to get a high cyber security rating under OpenAI's internal safety framework. What does that mean? It means this thing is really good at logic and security tasks. It scored around 77% or higher on cyber security capture the flag challenges. That's not just coding. That that's understanding systems, finding vulnerabilities, and thinking like a security expert. If you're building anything that needs to be secure, that's a big deal. And here's the wildest part. Early versions of GPT 5. 3 codeex helped debug and optimize its own training and deployment. Let that sink in. The AI helped train itself. That's a meta development loop we haven't really seen before. It's like the AI is already starting to improve itself without us doing all the heavy lifting. Now, if you're serious about using AI tools like GPT 5. 3 Codeex to scale your business, automate your workflows, and save hundreds of hours, you need to join the AI profit boardroom. This is where you'll learn how to implement AI coding agents like Codeex into your actual business processes. You'll get step-by-step guides on automating your workflows, building systems that save you time, and scaling with AI. We've got people in there using tools like this to cut their development time in half and build products faster than ever. If you want to be ahead of this AI revolution, not behind it, check out the AI profit boardroom. Links in the description. All

right, so here's the question everyone actually cares about. GPT 5. 3 Codeex versus Claude Opus 4. 6. Who wins? Let me give you the honest breakdown. GPT 5. 3 codeex is built for real world software workflows. It's scored higher on terminal bench which means it's better at using actual developer tools. It's strong at coding performance and execution and it lives inside the codeex platform and tools. So it's designed to fit into your workflow. Claude 4. 6 on the other hand focuses on long context workflows. It's got a huge context window, really strong general reasoning. It performs well on desktop and agent tasks in some tests. So, here's how I'd frame it. Codeex scores higher in practical dev tasks. Claude thrives in broad reasoning and massive contexts. If you're building software and you need something that can handle the full dev cycle, Codeex looks stronger. If you need something that can reason through huge amounts of information and handle really complex logic, Claude's still a beast. But here's what I think is actually happening. This isn't about one winning and one losing. It's about the AI coding wars heating up. Open AAI and Anthropic both dropped major updates on the same day. That's not a coincidence. They're pushing each other and we're the ones who benefit because both of these tools are getting insanely good, insanely fast. So, what does GPT5. 3

codeex actually mean for developers? It means faster dev cycles. You're not spending hours debugging or setting up environments. The AI does that. It means integrated tools. Codeex fits into your terminal, your idea, your desktop. It's not some separate thing you have to learn. And it means real automation. You can hand off entire tasks and trust that they'll get done. Not perfectly every time, but way better than before. And for the future of AI, this is what I think is really happening. We're moving from tools that help you code to agents that code like teammates. GPT 5. 3 codeex isn't just generating snippets anymore. It's building, testing, debugging, and deploying. That's the shift. And once you see it, you can't unsee it. This is where AI is going. Not just encoding in everything. Now, if you're serious about using AI tools like GPT 5. 3 Codeex to scale your business, automate your workflows, and save hundreds of hours, you need to join the AI profit boardroom. This is where you'll learn how to implement AI coding agents like Codeex into your actual business processes. You'll get step-by-step guides on automating your workflows, building systems that save you time, and scaling with AI. We've got people in there using tools like this to cut their development time in half and build products faster than ever. If you want to be ahead of this AI revolution, not behind it, check out the AI profit boardroom, links in the description. And

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