Context Window
400,000
Tokens
Model Cost Profile
OpenAI: GPT-5 Pro
Developer: openai
Pricing updated Mar 11, 2026
Input rank: #329Output rank: #333
OpenAI's GPT-5 Pro offers a substantial context window of 400,000 tokens, making it suitable for complex applications such as long-form content generation, detailed data analysis, and interactive conversational agents. Teams leveraging this API model can expect an input cost of $15.00 per million tokens and an output cost of $120.00 per million tokens, which can significantly impact budgeting for large-scale projects. This pricing structure encourages careful management of token usage, particularly for applications requiring extensive output or iterative interactions.
👁 Vision🔧 Tool Calling📋 Structured Output🧠 Reasoning
Input Price / 1M
$15.00
Prompt tokens
Output Price / 1M
$120.00
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $15.00 |
| Output (Completion) | $120.00 |
Price History
OpenAI: GPT-5 Pro Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$15.00
Current Output / 1M
$120.00
Cost Calculator
Estimate monthly spend for OpenAI: GPT-5 Pro based on your workload.
01.0B
0500M
Estimated Monthly Cost
$1,815
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 Pro.
How much does OpenAI: GPT-5 Pro cost per 1M input tokens?
OpenAI: GPT-5 Pro input pricing is $15.00 per 1M tokens based on the latest synced provider data.
How much does OpenAI: GPT-5 Pro cost per 1M output tokens?
OpenAI: GPT-5 Pro output pricing is $120.00 per 1M tokens based on the latest synced provider data.
What context window does OpenAI: GPT-5 Pro support?
OpenAI: GPT-5 Pro supports a context window of 400,000 tokens.
How can I compare OpenAI: GPT-5 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.