GPT-5.2

Overview

GPT-5.2 is the most advanced public model in OpenAI’s GPT-5 family, positioned for professional knowledge work, complex reasoning, and end-to-end agent workflows. Public documentation highlights adaptive reasoning modes that scale compute based on task difficulty, so GPT-5.2 can respond quickly on straightforward requests while spending more time on hard, multi-step problems. It also expands tool use, structured outputs, and multimodal understanding so the model can orchestrate research, analysis, coding, and document-heavy tasks in a single workflow.

Compared to earlier GPT-5 releases, GPT-5.2 focuses on reliability and enterprise readiness: better factuality, stronger instruction adherence, and more consistent outputs in long-running projects. It is best used when a single model must own the full lifecycle of an analysis—summarizing sources, planning work, executing tools, and generating decision-ready outputs.

Capabilities

• Adaptive reasoning modes that balance speed and depth for each request
• Agentic tool use with structured outputs, function calling, and multi-step plans
• Multimodal comprehension for text and image inputs in the same session
• Long-context analysis for large document collections, codebases, and research

Strengths

• High accuracy on complex analytical, mathematical, and coding tasks
• Reliable instruction-following for multi-step workflows
• Strong long-context retention for multi-document synthesis
• Good fit for enterprise automations that require guardrails and traceability

Limitations and Considerations

• Higher latency and cost than smaller GPT-5 variants for lightweight tasks
• Best results require clear task decomposition or tool configuration
• Some features (tooling, vision, routing) can vary by deployment platform

Best Use Cases

GPT-5.2 is ideal for tasks where quality, depth, and reliability matter most:

• Enterprise research, compliance reviews, and long-form analysis
• Agentic workflows that combine tools, search, and structured outputs
• Complex software engineering, code review, and data engineering tasks
• Multi-document synthesis for strategic decision support
• High-stakes customer or internal copilots