Question 1

What is GPT-5.2?

Accepted Answer

GPT-5.2 is OpenAI's flagship reasoning model, designed for complex multi-step tasks and professional software engineering. It offers deep reasoning capabilities with support for agentic workflows.

Question 2

How good is GPT-5.2?

Accepted Answer

GPT-5.2 represents "the biggest leap for GPT models in agentic coding since GPT-5" according to Windsurf CEO Jeff Wang. Developers praise its efficiency in multi-file projects and complex debugging sessions.

Question 3

What can GPT-5.2 do?

Accepted Answer

GPT-5.2 excels at complex multi-step reasoning, advanced coding, front-end development, cybersecurity analysis, and long-context document processing. It can handle agentic workflows with 20+ tools.

Question 4

When should I use GPT-5.2?

Accepted Answer

Use GPT-5.2 for tasks requiring deep reasoning, complex code analysis, multi-step agent workflows, and research synthesis where accuracy is critical.

Question 5

When should I avoid GPT-5.2?

Accepted Answer

Avoid it for low-latency real-time chat, simple summarization, routine writing, or cost-sensitive workloads where simpler models suffice.

Question 6

How much does GPT-5.2 cost?

Accepted Answer

GPT-5.2 API pricing is $1.75 per 1M input tokens and $14.00 per 1M output tokens. Cached input tokens cost $0.175 per 1M.

Parameter	Description	Path	Supported Values
Model	Selects the model version for the request	model	gpt-5.2gpt-5.2-2025-12-11
Message roles	Defines the role of the message in the input	messages[].role	developersystemuserassistant
Reasoning effort	Controls the depth of internal reasoning used by the model	reasoning_effort	nonelowmediumhighxhigh
Reasoning summary	Controls whether the model produces a concise or detailed reasoning summary	reasoning_summary	detailedconciseautonull
Max output tokens	Max output tokens the model may generate	max_completion_tokens	16 .. 100,000
Verbosity	Controls how brief or detailed the generated response is	verbosity	lowmediumhigh
Output format	Specifies the output format, including structured JSON schemas	response_format	textjson_objectjson_schema
Temperature	Controls how random or deterministic the output is	temperature	Not supported
Top P	Controls how diverse the output tokens are	top_p	Not supported
Presence penalty	Encourages the model to introduce new topics	presence_penalty	Not supported
Frequency penalty	Reduces repetition of the same words or phrases	frequency_penalty	Not supported

GPT-5.2

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