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Pricing: Paid
Verified: Yes

GPT-5.2 handles long documents, multi-step reasoning, table creation, presentations, and coding with reduced hallucinations.

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LLM models

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Pricing

API pricing: $15 per million input tokens, $60 per million output tokens. Available through ChatGPT Plus ($20/month).

What is GPT-5.2?

GPT-5.2 represents OpenAI's advancement in handling complex, multi-step tasks requiring deep reasoning across long contexts. Professionals analyzing reports, creating presentations, building tables from raw data, and debugging code use it for reliable structured outputs rather than creative text generation. The model processes documents up to 500K tokens while maintaining factual accuracy and logical consistency across extended reasoning chains. It excels at distilling insights from lengthy PDFs, financial reports, legal documents, and research papers into structured formats like Excel tables, PowerPoint decks, and executive summaries. Business analysts, researchers, developers, and consultants apply GPT-5.2 for competitive analysis, market research synthesis, technical documentation, and data-to-presentation workflows. The reduced hallucination rate makes it trustworthy for professional deliverables requiring citation accuracy. Access requires API integration or ChatGPT Plus. While superior for structured reasoning, conversational creativity remains GPT-4o territory. Context limits still constrain extremely large document sets.

Associated Tags

long context ai, multi-step reasoning, document analysis ai, table generation ai, presentation creator, coding assistant ai, reduced hallucinations, professional ai model, research synthesis, structured data ai

Key Features

500K token context window
Multi-step logical reasoning
Accurate table generation
Presentation slide creation
Long document analysis
Advanced coding assistance
Reduced hallucination rate
Citation preservation
Structured JSON outputs
Enterprise-grade reliability
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Frequently Asked Questions

What makes GPT-5.2 different from GPT-4?
Superior long-context handling (500K tokens), multi-step reasoning, structured outputs, and dramatically reduced hallucinations.