The GPT 5.3 Codex was launched on February 5, 2026, coinciding with the release of Opus 4.6, which aimed to compete with it. This new model is one of the best coding models OpenAI has released, significantly outperforming the 5.2 Codex. While it took a lot of time to arrive on GitHub Copilot, it actually maintains the same price as the 5.2. We have been trying this model for almost two weeks using the Codex and GitHub Copilot, and it’s actually one of the best models for coding.
Coding
The 5.3 Codex is one of the best models for coding. I have been testing it for about three weeks on a .NET project and various other projects to see how it performs, and since I had a clean project that had a lot of issues and the WPF UI version was pretty old, I gave the GPT 5.3 Codex to upgrade the WPF UI version to the latest, which has a lot of cons, like you may have to rewrite some layers of the code. The migration from the old WPF UI to the latest version took approximately 38 minutes to complete.
I also tested the Codex with Android projects, where its performance was excellent. All my tests were conducted on the Codex extension on Visual Studio Code, which is good, and I have tried the new Codex app, which is impressive and features a more visually appealing design compared to Google’s Antigravity and Terminal Bench 2.0. It manages to outscore its previous generation 5.2 Codex and the latest Opus 4.6 in the benchmark. The 5.3 codex builds with fewer tokens, allowing the users to build more than any prior model.
Improvements
The GPT 5.3 Codex is designed to support all aspects of the software lifecycle, including debugging, deployment, and writing PRDs. Editing copies, user research tests, and more. The GPT 5.3 codex also demonstrates strong performance on professional knowledge, as measured by GDPval, matching that of GPT 5.2. GDPval is an evaluation tool released by OpenAI in 2025 that measures model performance based on well-specified knowledge-work tasks across 44 occupations.
OS-world is an agentic computer benchmark where an agent must complete productivity tasks in a virtual computer environment. GPT-5.3 Codex demonstrates far stronger computer-use capabilities than previous GPT models. Additionally, the Codex app makes managing and directing the agents much easier, and now with GPT‑5.3‑Codex, it’s more interactive than ever. The Codex app provides regular updates, keeping you informed about key decisions and progress rather than making you wait for a final output of the task on the GPT-5.3 Codex.
Availability and pricing
The GPT 5.3 Codex is available with paid ChatGPT plans; everywhere you can use the Codex web, CLI, and IDE extension, and with this update, they are running the 5.3 Codex 25% faster for Codex users, thanks to the improvements in their infrastructure and inference stack, resulting in faster interactions and faster results. The 5.3 Codex also gets a Codex Spark version, which will deliver more than 1,000 tokens per second while remaining highly capable for real-world coding tasks. And it’s available in a 128k context version. The version is in research preview currently. The Codex 5.3 is available at the same price as the previous model in the Visual Studio IDE and in the API.
Security
To help prevent misuse of the model, some requests that their system detects as having a cyber risk will be routed from the 5.3 Codex to GPT 5.2. They are investing in ecosystem safeguards such as expanding the private beta of Aardvark, their security research agent, as the first offering in the suite of Codex security products and tools, and it’s one of the models to identify any software vulnerabilities. While they don’t have evidence that it can automate cyberattacks end-to-end, they are taking a precautionary approach and deploying their most comprehensive cybersecurity stack to date.
Speed
The GPT 5.3 codex is likely faster than its predecessors, as it can now create excellent webpages and applications in significantly less time. Thanks to the newer 5.3 codex, we can now complete tasks in less time, which is excellent for people who want performance and still want to complete tasks faster.
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