Introducing GPT-5.5 with Databricks

TL;DR: OpenAI and Databricks launch GPT-5.5, reducing error rate by 46% in agent frameworks compared to 5.4, becoming the only model to exceed 50% in benchmarks, and achieving step-change improvements in parsing quality and function calling. ## GPT-5.5 Performance Improvements in Agent Frameworks GPT-5.5 reduces error rate by 46% compared to 5.4 in agent framework settings, and is the only model to exceed 50% on benchmarks in agent framework settings. This significant improvement demonstrates greater practicality in Databricks customer workflows. ## Integration with Databricks: Office QA and Custom Parsing Office QA acts as an agent for Databricks customer workflows. Customers often come to us with messy-looking documents. At Databricks, we rely on custom parsing and employ these multi-agent setups, enabling parsing within their own agent framework. Codeex, powered by GPT-5.5, is currently the best solution among all agents and models. ## Key Difference: Parsing Quality and Function Improvements The difference between 5.4 and 5.5 lies in parsing quality. Models like 5.4 and earlier couldn't parse all numbers correctly, but 5.5 appears to show a step-wise improvement in function enhancement. This improvement is critical for handling documents with large amounts of numbers or complex structures. ## Supervisory Model in Custom Agent Workflows We see many customers using Agent Bricks and the Agent Supervisor API (Databricks products) to implement custom agent workflows. Having GPT-5.5 as the supervisory model for these custom agent workflows unlocks this step-change improvement for knowledge-level tasks. Source: YouTube: Introducing GPT-5.5 with Databricks (https://www.youtube.com/watch?v=vD_4Hce2G_w)