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.
OpenAI
GPT‑5.2 Pro
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.
Dec 10, 2025
400,000 context
256,000 tokens output
Extended Context Window
Advanced Reasoning
Tool Use
MCP Server Integration
Structured Input Selection
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
OpenAI
Model ID
The routed model identifier exposed by upstream providers.
openai/gpt-5.2-pro
Input Context Window
The number of tokens supported by the input context window.
400,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
256,000 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Dec 10, 2025
6 months ago
Knowledge Cut-off Date
When the model's knowledge was last updated.
December 2025
API Providers
The providers that offer this model. This is not an exhaustive list.
OpenAI
Modalities
Types of data this model can process.
Text
Image
File
What is GPT‑5.2 Pro
A fuller summary of positioning, capabilities, and source-specific details for GPT‑5.2 Pro.
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.
Capabilities
What GPT‑5.2 Pro supports
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.
Pricing for GPT‑5.2 Pro
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$21.00
Per million tokens
Output tokens
$168.00
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
Web search
$10000.00
maxTemperature
1
maxResponseSize
256,000 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
OpenAI
Provider Endpoints
Endpoint-level provider data currently available for this model.
OpenAI
Configuration & Parameters
The configurable options currently documented for this model.
Reasoning Effort
SelectUsed 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.
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Model Performance
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
|---|---|
|
AIME 2025
American math olympiad problems (2025)
|
|
|
ARC-AGI-2
Novel abstract reasoning and pattern recognition
|
|
|
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
|
|
|
HLE
Questions that challenge frontier models across many domains
|
|
|
LiveCodeBench
Real-world coding tasks from recent competitions
|
|
|
MMLU-Pro
Expert knowledge across 14 academic disciplines
|
|
|
SciCode
Scientific research coding and numerical methods
|
|
|
SWE-bench Pro
Challenging real-world software engineering tasks
|
|
|
SWE-bench Verified
Real GitHub issues requiring multi-file code fixes
|
|
|
τ²-bench Telecom
Agentic tool use in telecom scenarios
|
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about GPT‑5.2 Pro
GPT‑5.2 Pro discussions are most active in r/singularity, r/accelerate, r/LocalLLaMA. Top Reddit threads cluster around benchmark and model-comparison threads, coding workflow discussions.
The strongest match in this snapshot has 1721 upvotes and 498 comments.
Tao's comment on this is noteworthy (full comment here: https://www.erdosproblems.com/forum/thread/281#post-3302)
>Very nice! The proof strategy is a variant of the "Furstenberg correspondence principle" that is a standard tool for mathematicians at the interface between ergodic theory and combinatorics, in particular with a reliance on "weak compactness" lurking in the background, but the way it is deployed here is slightly different from the standard methods, in particular relying a bit more on the Birkhoff ergodic theorem than usual arguments (although closely related "generic point" arguments are certainly employed extensively). But actually the thing that impresses me more than the proof method is the avoidance of errors, such as making mistakes with interchanges of limits or quantifiers (which is the main pitfall to avoid here). Previous generations of LLMs would almost certainly have fumbled these delicate issues.
For the first time ever, an LLM has autonomously resolved an Erdős Problem and autoformalised in Lean 4.
GPT-5.2 Pro proved a counterexample and Opus 4.5 formalised it in Lean 4.
Was a collaboration with @AcerFur on X. He has a great explanation of how we went about the workflow.
I’m happy to answer any questions you might have!
Also the usage guide.
[https://platform.openai.com/docs/guides/latest-model](https://platform.openai.com/docs/guides/latest-model)
[https://openai.com/index/introducing-gpt-5-2/](https://openai.com/index/introducing-gpt-5-2/) (coming)
[https://platform.openai.com/docs/models/gpt-5.2-pro](https://platform.openai.com/docs/models/gpt-5.2-pro)
[https://platform.openai.com/docs/models/gpt-5.2](https://platform.openai.com/docs/models/gpt-5.2)
[https://cookbook.openai.com/examples/gpt-5/gpt-5-2\_prompting\_guide](https://cookbook.openai.com/examples/gpt-5/gpt-5-2_prompting_guide)
I've use 5.2 Pro quite a lot now and can definitively say it's the best model for math by far, this just solidifies that.
FAQ
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.
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