GPT-5.5 System Card

OpenAI has published the GPT-5.5 System Card, a technical report outlining the latest iteration of its flagship large language model. The card reveals that GPT-5.5 delivers a 3x improvement in multi-step reasoning tasks compared to GPT-5, with a 40% reduction in factual errors across knowledge-intensive domains. Inference speed has doubled on math benchmarks like GSM8K and MATH, while the context window remains at 256K tokens. The model also introduces updated safety classifiers that reduce harmful output rates by 60% in adversarial testing. These gains stem from a new mixture-of-experts architecture and improved reinforcement learning from human feedback (RLHF) pipelines.

For enterprise users, GPT-5.5 promises enhanced reliability in code generation, legal document analysis, and scientific research. The system card highlights a 50% improvement in code correctness on HumanEval and a 35% boost in long-context retrieval accuracy. OpenAI has also published detailed bias and fairness evaluations, showing reduced performance disparities across demographic groups. The model is available now via API, with pricing unchanged from GPT-5. Early adopters report significant reductions in time spent on complex data extraction and report generation, making GPT-5.5 a strong candidate for automating high-stakes analytical workflows.