Context Window
400,000
Tokens
Model Cost Profile
OpenAI: GPT-5.2 Pro
Developer: openai
Pricing updated Mar 11, 2026
Input rank: #332Output rank: #334
OpenAI's GPT-5.2 Pro offers a substantial context window of 400,000 tokens, making it ideal for complex applications such as legal document analysis and extensive content generation. With an input price of $21.00 per 1M tokens and an output price of $168.00 per 1M tokens, teams must carefully assess their token usage to manage costs effectively. This model is particularly beneficial for enterprises requiring deep contextual understanding and nuanced responses in their AI-driven solutions.
👁 Vision🔧 Tool Calling📋 Structured Output🧠 Reasoning
Input Price / 1M
$21.00
Prompt tokens
Output Price / 1M
$168.00
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $21.00 |
| Output (Completion) | $168.00 |
Price History
OpenAI: GPT-5.2 Pro Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$21.00
Current Output / 1M
$168.00
Cost Calculator
Estimate monthly spend for OpenAI: GPT-5.2 Pro based on your workload.
01.0B
0500M
Estimated Monthly Cost
$2,541
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for OpenAI: GPT-5.2 Pro.
How much does OpenAI: GPT-5.2 Pro cost per 1M input tokens?
OpenAI: GPT-5.2 Pro input pricing is $21.00 per 1M tokens based on the latest synced provider data.
How much does OpenAI: GPT-5.2 Pro cost per 1M output tokens?
OpenAI: GPT-5.2 Pro output pricing is $168.00 per 1M tokens based on the latest synced provider data.
What context window does OpenAI: GPT-5.2 Pro support?
OpenAI: GPT-5.2 Pro supports a context window of 400,000 tokens.
How can I compare OpenAI: GPT-5.2 Pro with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.