OpenAI o1-pro
Pricing & Specs
OpenAI · $150 input / $600 output per 1M tokens · 200K context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on OpenAI o1-pro costs about $0.4500 — roughly $450.00 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
OpenAI o1-pro API Pricing
| Tokens | Price |
|---|---|
| Input | $150 / 1M tokens |
| Output | $600 / 1M tokens |
Cached input tokens are billed when caching is enabled. Batch API pricing is available for this model at 50%.
What that means in practice
OpenAI o1-pro Specs
| Spec | Value |
|---|---|
| Context window | 200K tokens |
| Input modalities | text, image |
| Output modalities | text |
| Latency (measured by OpenMark) | ~30.6s median response |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | No |
| Batch API | Yes |
Capabilities
FAQ
How much does OpenAI o1-pro cost?
OpenAI o1-pro costs $150 per 1M input tokens and $600 per 1M output tokens.
What is OpenAI o1-pro's context window?
OpenAI o1-pro has a 200K-token context window.
Can I test OpenAI o1-pro on my own task?
Yes. OpenMark lets you benchmark OpenAI o1-pro against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is OpenAI o1-pro the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.