What are the strengths of this model?

Possesses advanced reasoning capabilities Wide context window of 256K tokens Latest design by OpenAI

What are the weaknesses of this model?

Closed license Source code is not public Internal structure unknown from outside

What are the best use cases?

Complex logical reasoning Analysis of long documents Advanced problem-solving tasks

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OpenAIProprietary

OpenAI GPT-5.2 Pro

Name: OpenAI GPT-5.2 Pro
Author: OpenAI

OpenAI GPT-5.2 Pro is an advanced reasoning model developed by OpenAI. It is provided as a foundation model equipped with a 256K large-scale context window, optimized for complex reasoning tasks.

Parameters

Undisclosed

Context Window

256K

License

Proprietary

Release Date

2025-12-11

API Pricing

API pricing for this model is not yet available

Strengths

・Possesses advanced reasoning capabilities
・Wide context window of 256K tokens
・Latest design by OpenAI

Weaknesses

・Closed license
・Source code is not public
・Internal structure unknown from outside

Use Cases

・Complex logical reasoning
・Analysis of long documents
・Advanced problem-solving tasks

Deep Analysis

Release Date

December 10, 2025

Context Window

400K tokens (256K in Thinking mode)

Input Price

$10.50 / 1M tokens

Output Price

$84.00 / 1M tokens

Web Search

$10,000 per query

Modality

Multimodal (Text, Image, File input)

Features

Structured Outputs, Reasoning, Tools

Strengths

・OpenAI's most advanced GPT-5.2 model with maximum accuracy and reasoning depth
・Near-perfect tool-use accuracy (98.7%) for complex multi-step workflows
・Best-in-class for high-stakes enterprise work including financial/legal analysis
・GPQA 92.4% for graduate-level science reasoning
・Excellent for large-scale code review and security analysis

Weaknesses

・Very expensive at $10.50/$84 per 1M tokens — 6x the cost of GPT-5.2 Thinking
・Slower response times due to extensive reasoning overhead
・Costs 'scale quickly' for high-volume workloads
・Not suitable for ultra-low-latency or real-time systems
・Overkill for everyday coding and content tasks where Thinking suffices

Competitor Comparison

Model	Arena	SWE	GPQA	Price
Claude Opus 4.5	~1450	80.9%	~92%	$15/$75 per 1M tokens
Gemini 3 Pro	~1420	76.2%	~90%	$3.50/$10.50 per 1M tokens
GPT-5.2 Thinking	1436	80.0%	92.4%	$1.75/$14 per 1M tokens
GPT-5.4 Pro	~1460	~82%	~93%	$30/$180 per 1M tokens

Overview

GPT-5.2 Pro is OpenAI's most advanced GPT-5.2 family model, offering maximum accuracy for enterprise-critical work at $10.50/$84 per 1M tokens. It shares the same benchmark profile as GPT-5.2 Thinking (GPQA 92.4%, SWE-bench 80%) but allocates significantly more compute to reasoning for higher reliability. It is best suited for high-stakes financial, legal, and security review where cost is secondary to accuracy.

Benchmarks & Performance

GPT-5.2 Pro shares the GPT-5.2 family benchmark profile: GPQA Diamond 92.4%, SWE-bench Verified 80.0%, ARC-AGI-1 86.2%, CharXiv Reasoning 88.7%. The Pro variant uses extended reasoning to achieve more consistent results on complex multi-step tasks. It produces fewer errors than GPT-5.2 Thinking on ambiguous or high-stakes queries. The 400K context window with 256K in Thinking mode enables near-perfect long-document retrieval.

Detailed Comparison

GPT-5.2 Pro is 6x more expensive than GPT-5.2 Thinking ($10.50/$84 vs $1.75/$14) for marginally better accuracy on complex tasks. Compared to Claude Opus 4.5 ($15/$75), it is slightly cheaper on output tokens with comparable benchmark performance. It offers better value than GPT-5.4 Pro ($30/$180) for tasks that don't require the absolute latest model. Gemini 3 Pro ($3.50/$10.50) is significantly cheaper but trails on most benchmarks.

Community Feedback

Enterprise users report high satisfaction for compliance-critical and high-stakes analytical work. Developers appreciate the near-perfect tool-use accuracy for building reliable AI agents. The main criticism is cost — at $84/1M output tokens, it is expensive for production use. Many teams use GPT-5.2 Thinking for daily work and reserve Pro for critical decisions. The consensus is that it's worth the premium only when accuracy is non-negotiable.

Use Cases

Best for: high-stakes financial analysis and audit, legal document review and compliance, security-critical code review, enterprise-grade AI agent pipelines, medical/research analysis, and complex multi-step reasoning tasks where errors are costly. NOT recommended for: everyday coding (use Thinking), content creation (use Instant), high-volume API workloads, real-time chat applications, or budget-constrained projects.

Latest News

Released December 10-11, 2025 alongside the GPT-5.2 family. GPT-5.4 Pro (March 2026) has since become the new top-tier model, but GPT-5.2 Pro remains available and is preferred for cost-sensitive enterprise work that doesn't need GPT-5.4's capabilities.

Sources

Analysis generated: 2026-05-24