OpenAI just dropped GPT-5.4, and in this video I break down what actually changed and what matters if you’re building agents. The headline feature is native computer use: GPT-5.4 can operate your desktop UI like a human (clicking through apps, navigating interfaces), and it jumps to 75% on OSWorld verified—up from ~47% on GPT-5.2. On top of that, context goes to 1M tokens with experimental API support in Codex (up from 272k), and the model is noticeably more “sterile,” which is a real-world behavior change you’ll feel in outputs. I also cover the agent-engineering improvements that are easy to miss: you can interrupt the model mid-thinking and steer it without restarting, and OpenAI introduced Tool Search so the model looks up tool definitions on demand instead of stuffing everything into the prompt. In their example, that cuts token usage by ~47%, which is huge for agentic systems where your context window gets polluted fast. Benchmark-wise, GDP eval is the big one for knowledge work—GPT-5.4 hits 83% and shows we’re saturating this benchmark quickly. Coding improves a lot vs GPT-5.2, but it’s closer to GPT-5.3 Codex; the bigger win is speed/token efficiency (especially at medium reasoning), plus a fast mode in Codex for lower-latency coding workflows. Pricing is a bit higher than GPT-5.2, but token efficiency can offset it, and I don’t think most people need 5.4 Pro unless they’re doing hardcore research.