GPT-5 Nano (batch)

OpenAI's smallest general-purpose model in the GPT-5 family, optimized for batch processing with a 400k token context window.

Strengths

Delivers fast inference and low computational overhead while maintaining broad general-purpose capability across a wide range of tasks.

Best for

Batch workloads where latency is not a constraint and you need the speed and efficiency of OpenAI's smallest model at scale.

Limitations

As the smallest model in the GPT-5 family, it trades raw capability and reasoning depth for speed; GPT-5 Mini offers more capacity for complex tasks if batch processing latency can be tolerated.