Question 1

What is GPT-5.2 Pro?

Accepted Answer

GPT-5.2 Pro is OpenAI's flagship reasoning model in the GPT-5.2 series, designed for high-level professional tasks. It offers superior reasoning with 30% fewer hallucinations than GPT-5.1, multimodal understanding (text, images, charts), massive 400k token context windows, and state-of-the-art performance in software engineering benchmarks (55.6% on SWE-bench Pro).

Question 2

How good is GPT-5.2 Pro?

Accepted Answer

GPT-5.2 Pro represents "the biggest leap for GPT models in agentic coding since GPT-5" according to Windsurf CEO Jeff Wang. It achieves 55.6% on SWE-bench Pro, 80% on SWE-bench Verified, and 52.9% on ARC-AGI-2. Developers praise its reliability in debugging production code and completing multi-step workflows.

Question 3

What can GPT-5.2 Pro do?

Accepted Answer

GPT-5.2 Pro excels at complex multi-step agentic workflows, advanced coding (large refactors, debugging), front-end development with 3D elements, cybersecurity analysis, and long-context document processing. Early testers report it enables consolidating multi-agent systems into single "mega-agents" with 20+ tools.

Question 4

When should I use GPT-5.2 Pro?

Accepted Answer

Use GPT-5.2 Pro for tasks requiring deep reasoning, long-context understanding, and high accuracy - complex code analysis, multi-step agent workflows, scientific or legal document review, front-end UI work (especially 3D), and research synthesis where reduced hallucinations are critical.

Question 5

When should I avoid GPT-5.2 Pro?

Accepted Answer

Avoid it for low-latency real-time chat, simple summarization, routine writing, or cost-sensitive workloads. The reasoning overhead adds latency, and at $21/$168 per 1M tokens (input/output), it's expensive overkill for simple tasks where GPT-4.1 or instant models suffice.

Question 6

What is GPT-5.2 Pro's context window?

Accepted Answer

GPT-5.2 Pro has a context window of up to 400,000 tokens - roughly 300,000 words or ~667 A4 pages. This enables processing entire codebases, long legal documents, or extensive research papers in a single context.

Question 7

What is the maximum output length for GPT-5.2 Pro?

Accepted Answer

GPT-5.2 Pro supports a maximum output of 128,000 tokens, roughly 90,000 to 100,000 English words, enabling comprehensive code generation and detailed document synthesis.

Question 8

How much does GPT-5.2 Pro cost?

Accepted Answer

GPT-5.2 Pro API pricing is $21 per 1M input tokens and $168 per 1M output tokens. Cached input tokens cost $2.10 per 1M. This premium pricing reflects its advanced reasoning capabilities.

Question 9

How is GPT-5.2 Pro different from GPT-5.2?

Accepted Answer

GPT-5.2 Pro is the "Thinking" variant with extended reasoning capabilities, larger context (400k vs standard), higher accuracy, and priority access during peak demand. Standard GPT-5.2 (Instant) is faster and cheaper for everyday tasks.

Question 10

Can GPT-5.2 Pro generate images?

Accepted Answer

Not directly. Image generation is handled by dedicated models like gpt-image-1. GPT-5.2 Pro can orchestrate multimodal workflows and request image generation through tool calling.

Question 11

Does GPT-5.2 Pro support image inputs?

Accepted Answer

Yes. GPT-5.2 Pro supports vision inputs for analyzing images, screenshots, diagrams, charts, and PDFs. Early testers praise its strength in front-end development work involving visual UI elements and 3D components.

Parameter	Description	Path	Supported Values
Model	Selects the model version for the request	model	gpt-5.2-progpt-5.2-pro-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	mediumhighxhigh
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 .. 128,000
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 Pro

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