GPT-5.2 Pro is OpenAI's flagship multimodal model with a 400K token context window, supporting text and image inputs for complex reasoning and coding tasks.
| Provider | Input / 1M | Output / 1M |
|---|---|---|
| $10.50 | $84.00 | |
| $10.50 | $84.00 | |
| $21.00 | $168.00 | |
| $21.00 | $168.00 | |
| $21.00 | $168.00 |
Prices updated daily. Last check: Sep 6, 2026
Input, output, and batch rates, plus alternatives, for one provider at a time.
GPT-5.2 Pro is designed for complex, high-value applications that require flagship-level AI capabilities. Its large context window makes it ideal for analyzing extensive documents, entire codebases, or maintaining long conversational contexts in sophisticated AI agents. The multimodal capabilities enable workflows that combine visual analysis with text generation, such as technical documentation with diagrams, code review with screenshots, or research tasks involving charts and images. Organizations typically deploy GPT-5.2 Pro for strategic projects like advanced coding assistance, complex business analysis, research synthesis, and multi-step reasoning tasks where the highest model performance justifies the premium pricing tier.
GPT-5.2 Pro pricing varies by provider and usage type (input vs output tokens, standard vs batch processing). Check the pricing table above for current rates across all available providers offering GPT-5.2 Pro access.
GPT-5.2 Pro excels at complex tasks requiring flagship-level performance: analyzing large documents or codebases (up to 400K tokens), multimodal workflows combining text and images, sophisticated coding projects, AI agents with tool calling, and multi-step reasoning tasks. Its capabilities justify use in high-value applications where maximum model performance is needed.
GPT-5.2 Pro offers a 400K context window and multimodal text/image support, competing directly in the flagship tier with models like Claude Opus 4.6 and Gemini 3.1 Pro. Key differentiators include its specific context window size, OpenAI's training approach, and integration with OpenAI's ecosystem. The best choice depends on your specific requirements for context length, modalities, and model behavior preferences.