Here’s why you may want to consider switching your workloads to GPT-5.2:
- SOTA on long-context understanding: GPT-5.2 beats other models on the OpenAI MRCRv2 long-context eval, and customers like Notion, Box, Databricks, and Hex report strong reasoning performance on complex, ambiguous, data-heavy tasks.
- Advanced tool-calling capabilities: GPT-5.2 is SOTA on Tool Decathlon and beats other models on τ²-Bench Telecom, both benchmarks for long-horizon tool use. Triple Whale and Zoom say GPT-5.2 enables more reliable agent execution through improved tool calling.
- Our strongest vision model yet: GPT-5.2 is our strongest vision model yet, cutting chart-reasoning and UI-understanding errors by over 50%. Enhanced spatial reasoning makes it more reliable for complex dashboards, app UIs, and diagram analysis.
- SOTA on coding: GPT-5.2 leads on SWE-Bench Pro, a benchmark for complex coding tasks. It excels at front-end UI generation and delivers meaningful improvements across debugging, refactoring, and shipping fixes.
GPT-5.2 is now available in the Responses and Chat Completions API. The model adjusts its reasoning based on the complexity of the task and you can control the reasoning effort by setting it to none, low, medium, high, and for the first time, “xhigh” for the most complex tasks.
GPT-5.2 is 40% more expensive than GPT-5 and GPT-5.1. It costs $1.75/1M input tokens and $14/1M output tokens, with a 90% discount on cached inputs. The model is available on Priority Processing and Flex Processing plans, and can be used with the Batch API. More details on the API Pricing Page.
We’ve published prompting guidance and updated our Prompt Optimizer tool to help you get the most out of GPT-5.2.
