gpt-5-mini

GPT-5-mini is a high-efficiency reasoning model engineered for developers who need a balance between intelligence and throughput. While the full GPT-5 architecture focuses on complex, multi-step problem solving, this 'mini' iteration is optimized for low-latency applications where cost-per-token and response speed are critical. It maintains the core instruction-following capabilities and safety alignment of its larger predecessor, making it reliable for production environments. For developers, this means you can offload high-volume tasks—such as real-time chat interfaces, data extraction, and automated summarization—to this model without sacrificing the sophisticated logic found in the flagship series. With a 400,000 token context window, it handles large document processing effectively, offering a much more scalable alternative to heavier models when building agentic workflows or high-traffic microservices.