OpenAI recently released GPT 5.2, and we're excited to share that we've been hard at work evaluating it before bringing it to you. We ran a full assessment across a range of the latest large language models and put GPT 5.2 through extensive internal employee testing.
More comprehensive tool calling. GPT 5.2 is more comprehensive in the sets of tools it uses to help answer user questions. As a result, it provides a more helpful answer, and is less likely to need to handoff users to internal help channels.
Better Enterprise Search. GPT 5.2 works better with Enterprise Search. GPT 5.2 provides a more concise and relevant search query when using Search. This means the assistant finds what you're looking for more efficiently, with less noise in the search process.
Stronger Tool Call Post-Processing. After a tool or plugin is called by GPT 5.2, it does a better job of writing code to analyze and restructure the results.
Less Hallucinations. GPT-5.2 does a better job of discerning what capabilities it does and doesn’t have and hallucinates less when conversing with the user
When will GPT 5.2 be available in Moveworks?
As of March 9, we have started rolling out GPT 5.2 to customers. These are our target GA dates below:
| Region | Target GA Date for GPT 5.2 in Reasoning Engine |
| United States | Wednesday April 1, 2026 |
| Europe | Wednesday April 1, 2026 |
| Canada | Wednesday April 1, 2026 |
| Australia | Wednesday April 1, 2026 |
| GovCloud & Azure-only Orgs | Wednesday April 1, 2026 |
🚧 Is there anything I need to do for this rollout?
This change will be made to your AI Assistant during this time period. There’s no additional setup work for this upgrade, nor downtime.
🛑 Are there any known issues?
Updated April 2: Verbose tool responses & reasoning traces. When your Assistant executes a tool, GPT-5.2 is more likely to explain how it interpreted the results, sharing details about how your tool is structured rather than answering the question. We are working on a fix and will update when resolved. You can course correct for verbose tool responses by influencing the Reasoning Engine through display_instructions_for_model (docs)