The smallest and most economical model in the GPT-5 family, optimized for lightweight tasks such as summarization, classification, tagging, and routing. It is well-suited for high-volume, low-complexity workloads where speed and efficiency are critical. GPT-5 Nano works effectively as a background decision or compression layer within larger pipelines, especially when latency and cost are primary constraints.
