--- title: "Databricks partners with OpenAI on GPT-5.5" source_name: "Databricks" original_url: "https://www.databricks.com/blog/databricks-partners-openai-gpt-55" canonical_url: "https://www.traeai.com/articles/6634ef26-9fc2-44d1-adcf-6a50234fc146" content_type: "article" language: "中文" score: 5 tags: [] published_at: "2026-04-23T23:00:00+00:00" created_at: "2026-04-24T00:58:37.751835+00:00" --- # Databricks partners with OpenAI on GPT-5.5 Canonical URL: https://www.traeai.com/articles/6634ef26-9fc2-44d1-adcf-6a50234fc146 Original source: https://www.databricks.com/blog/databricks-partners-openai-gpt-55 ## Summary traeai 为开发者、研究员和内容团队筛选高质量 AI 技术内容，提供摘要、评分、趋势雷达与一键内容产出。 ## Key Takeaways - - - ## Content Title: Databricks partners with OpenAI on GPT-5.5 URL Source: http://www.databricks.com/blog/databricks-partners-openai-gpt-55 Published Time: 2026-04-23T23:00:00+0000 Markdown Content: # Databricks partners with OpenAI on GPT-5.5 | Databricks Blog [Skip to main 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[All blogs](http://www.databricks.com/blog/category/all) 2. / [AI](http://www.databricks.com/blog/category/ai) Table of contents * [GPT-5.5 Features and Benefits](http://www.databricks.com/blog/databricks-partners-openai-gpt-55#section-1) * [GPT-5.5 sets the state-of-the-art performance](http://www.databricks.com/blog/databricks-partners-openai-gpt-55#section-2) Table of contents Table of contents * [GPT-5.5 Features and Benefits](http://www.databricks.com/blog/databricks-partners-openai-gpt-55#section-1) * [GPT-5.5 sets the state-of-the-art performance](http://www.databricks.com/blog/databricks-partners-openai-gpt-55#section-2) [AI](http://www.databricks.com/blog/category/ai)April 23, 2026 # Databricks partners with OpenAI on GPT-5.5 GPT-5.5 sets the state-of-the-art performance on the Databricks OfficeQA benchmark by [Hanlin Tang](http://www.databricks.com/blog/author/hanlin-tang), [Ahmed Bilal](http://www.databricks.com/blog/author/ahmed-bilal), [Arnav Singhvi](http://www.databricks.com/blog/author/%20arnav-singhvi), [Ivan Zhou](http://www.databricks.com/blog/author/ivan-zhou) and [Harish Gaur](http://www.databricks.com/blog/author/harish-gaur) Summary * Databricks is partnering with OpenAI on GPT-5.5 * GPT-5.5 cuts errors nearly in half on OfficeQA Pro * OpenAI GPT-5.5 and Codex are coming soon on Databricks and governed through Unity AI Gateway Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 is OpenAI's strongest frontier model for agentic work in enterprise, complex document reasoning, and long-horizon coding agents. GPT-5.5 also now powers Codex, OpenAI's coding agent. ## GPT-5.5 Features and Benefits GPT-5.5 is the smartest frontier model yet and the next step toward a new way of getting work done. It understands what you’re trying to do more quickly and can take on more of the work itself. Codex, OpenAI's coding agent, is now powered by GPT-5.5, with stronger reasoning and execution capabilities for developer workflows. The same strengths that make GPT-5.5 great at coding also make it powerful for everyday work on a computer. Because the model is better at understanding intent, it can move more naturally through the full loop of knowledge work: finding information, understanding what matters, using tools, checking the output, and turning raw material into something useful. It can write and debug code, research online, analyze data, create documents and spreadsheets, operate software, and move across tools until a task is finished. Instead of carefully managing every step, you can give GPT-5.5 a messy, multi-part task and trust it to plan, use tools, check its work, recover from ambiguity, and keep going. ## GPT-5.5 sets the state-of-the-art performance To understand how these improvements translate into real enterprise workloads, we evaluated GPT-5.5 on OfficeQA, Databricks’ benchmark for document-heavy, multi-step analytical tasks customers perform every day. [OfficeQA](https://www.databricks.com/blog/introducing-officeqa-benchmark-end-to-end-grounded-reasoning), built from 89,000 pages of U.S. Treasury Bulletins, measures a model’s ability to retrieve information across documents, interpret complex tables, and perform precise calculations grounded in real enterprise data. When given the right documents (OfficeQA Pro LLM with Oracle PDF + Web Search), GPT-5.5 scored 64.66%, a decent jump from GPT-5.4's 57.14%, representing a ~13% improvement and a new state-of-the-art on this benchmark. This tests the ceiling of what the model can do when retrieval is already handled. In a full-agent workflow eval (OfficeQA Pro Agent Harness), where the model must find the right documents, parse them, and compute answers on its own using the Codex agent harness, GPT-5.5 scored 52.63%, up from GPT-5.4's 36.10%. 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