GPT‑5.2 Pro
The most capable model series yet for professional knowledge work.
OpenAI Flagship reasoning model for professional knowledge work
GPT-5.2 Pro is a text generation model developed by OpenAI, added to MindStudio in December 2025. It supports a 400,000-token context window and is trained on data through December 2025, making it OpenAI's most recent flagship release. The model is tagged for reasoning, tool use, and MCP (Model Context Protocol) support, reflecting its design for complex, multi-step tasks.
GPT-5.2 Pro is built for professional knowledge work across a wide range of domains. According to OpenAI, it was evaluated on GDPval, a benchmark spanning 44 occupations, where it performed at or above the level of industry professionals on well-specified tasks. It is best suited for workflows that require deep reasoning, tool integration, and handling large documents or long-context inputs.
What GPT‑5.2 Pro supports
Extended Context Window
Processes up to 400,000 tokens in a single context, enabling analysis of long documents, codebases, or multi-turn conversations without truncation.
Advanced Reasoning
Applies multi-step reasoning to complex problems, including tasks benchmarked across 44 professional occupations on the GDPval evaluation.
Tool Use
Supports calling external tools during inference, allowing the model to retrieve data, run code, or interact with APIs as part of a response.
MCP Server Integration
Compatible with Model Context Protocol (MCP) servers, enabling structured integration with external data sources and services via a standardized protocol.
Structured Input Selection
Accepts select-type inputs, allowing builders to define discrete input options that shape how the model receives and processes user prompts.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 87.4% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 90.3% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 88.9% |
| HLE | Questions that challenge frontier models across many domains | 35.4% |
| SciCode | Scientific research coding and numerical methods | 52.1% |
| AIME 2025 | American math olympiad problems (2025) | 100.0% |
| SWE-bench Verified | Real GitHub issues requiring multi-file code fixes | 80.0% |
| SWE-bench Pro | Challenging real-world software engineering tasks | 55.6% |
| ARC-AGI-2 | Novel abstract reasoning and pattern recognition | 52.9% |
| τ²-bench Telecom | Agentic tool use in telecom scenarios | 94.5% |
Common questions about GPT‑5.2 Pro
What is the context window for GPT-5.2 Pro?
GPT-5.2 Pro supports a context window of 400,000 tokens, allowing it to process large documents, lengthy conversations, or extensive codebases in a single request.
What is the training data cutoff for GPT-5.2 Pro?
The model's training data has a cutoff of December 2025, which is also when it was added to MindStudio.
Does GPT-5.2 Pro support tool use and external integrations?
Yes. GPT-5.2 Pro supports tool use and MCP (Model Context Protocol) server connections, making it compatible with workflows that require calling external APIs, retrieving data, or integrating with third-party services.
What kinds of tasks is GPT-5.2 Pro designed for?
GPT-5.2 Pro is designed for professional knowledge work. OpenAI evaluated it on GDPval, a benchmark covering 44 occupations, where it performed at or above the level of industry professionals on well-specified tasks.
Do I need an OpenAI API key to use GPT-5.2 Pro on MindStudio?
No. You can use GPT-5.2 Pro directly on MindStudio without managing your own OpenAI API key.
What people think about GPT‑5.2 Pro
Community reception to GPT-5.2 Pro has been broadly positive, with the r/ChatGPT announcement thread accumulating over 1,700 upvotes and nearly 500 comments shortly after release. Users have highlighted its reasoning depth, with one r/singularity thread reporting that the model independently derived a novel result in theoretical physics.
Discussion in the singularity thread has focused on the model's performance on open-ended scientific and research tasks, drawing significant engagement with 692 upvotes and 163 comments. Some community members have raised questions about reproducibility and the scope of such results, reflecting ongoing interest in understanding the model's limits.
Parameters & options
Used to give the model guidance on how many reasoning tokens it should generate before creating a response to the prompt. Low will favor speed and economical token usage, and high will favor more complete reasoning at the cost of more tokens generated and slower responses. The default value is medium, which is a balance between speed and reasoning accuracy.
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