Integrating GPT-5.4: My 1.05M Context Agent Workflow
TL;DR: OpenAI just dropped GPT-5.4 with native Computer Use and a 1.05M token context window. If you're building agents, this changes how you handle repo-scale tasks. Pricing is slashed to $2.50/1M input.
Technical Breakdown
| Parameter | Spec |
|---|---|
| Model ID | gpt-5.4 |
| Context Window | 1,050,000 tokens |
| Max Output | 128,000 tokens |
| Training Cutoff | May 2025 |
Real-World Test: Loading a Full Repo
With 1M context, you no longer need to rely purely on RAG for codebase orientation. You can feed the core logic directly:
{
"model": "gpt-5.4",
"messages": [
{"role": "user", "content": "Analyze this entire src/ directory and refactor the auth logic..."}
]
}
FAQ
Q: How is it so cheap?
A: Incremental memory technology allows the model to cache context much more effectively, reducing redundant compute.
Published: March 16, 2026
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