Accelerate Coding and Sub-Agent Tasks with GPT-5.4 Mini
Opt for the 'mini' model version for high-volume coding and multimodal tasks.
Switch to GPT-5.4 mini for tasks involving high-volume coding or agentic workflows. Its high token-per-second rate makes it ideal for iterative changes and latency-sensitive work.
The Scenario
You are building a coding assistant or a tool that needs to interpret screenshots of software to perform actions. Speed and low latency are more important than deep philosophical reasoning.
Before & after
Developers often used flagship models for simple sub-tasks, dealing with high latency and slow token generation. Manually reviewing and integrating small code snippets took 8-10 minutes.
Using GPT-5.4 mini, the model handles sub-tasks like screenshot interpretation and coding snippets at 180+ tokens/second. This speeds up the dev cycle to under 2 minutes.
The Prompt
Using GPT-5.4 mini, look at this [SCREENSHOT/CODE_SNIPPET] and [TASK: e.g., identify the UI bug/refactor the function]. Prioritize speed and direct output for integration.
GPT-5.4 mini is specifically optimized for sub-agents and computer-use tasks (like screenshot interpretation). It runs at twice the speed of previous mini models while maintaining high reasoning performance.
Source
Model Release Notes | OpenAI Help Center"GPT-5.4 mini improves on GPT-5 mini across coding, reasoning, multimodal understanding, and tool use, while running at more than twice the speed."