GPT-5 mini (minimal)

GPT-5 mini is a compact, high-efficiency multimodal language model developed by OpenAI as part of the GPT-5 family. Released in August 2025, it was designed to succeed the o4-mini model, providing a balance of reasoning performance and low latency. The model is optimized for high-volume, well-defined tasks such as coding assistance, structured data extraction, and precise instruction following.

A key feature of the model is its support for a minimal reasoning effort level. This configuration allows the model to prioritize speed and cost-effectiveness by bypassing more intensive internal chain-of-thought processes. The "minimal" setting is particularly suited for straightforward prompts where deep reasoning is not required, resulting in reduced response times and lower token consumption compared to standard reasoning modes.

The model supports a significantly expanded context window of 400,000 tokens, enabling the processing of extensive documents and long-form conversational histories. It is natively multimodal, accepting both text and image inputs. Despite its smaller scale, GPT-5 mini maintains competitive accuracy across benchmarks in mathematics, finance, and general knowledge, making it a versatile tool for developers requiring high-speed intelligence.