OpenAI o1
Pricing & Specs
OpenAI · $15 input / $60 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 costs about $0.0450, roughly $45.00 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 API Pricing
| Tokens | Price |
|---|---|
| Input | $15 / 1M tokens |
| Output | $60 / 1M tokens |
| Cached input | $7.5 / 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 Specs
| Spec | Value |
|---|---|
| Context window | 200K tokens |
| Input modalities | text, image |
| Output modalities | text |
| Latency (measured by OpenMark) | ~4.0s median response |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
| Batch API | Yes |
Capabilities
FAQ
How much does OpenAI o1 cost?
OpenAI o1 costs $15 per 1M input tokens and $60 per 1M output tokens ($7.5 per 1M cached input tokens).
What is OpenAI o1's context window?
OpenAI o1 has a 200K-token context window.
Can I test OpenAI o1 on my own task?
Yes. OpenMark lets you benchmark OpenAI o1 against 100+ models on your own task with real API calls, with no API keys needed, free tier available.
Is OpenAI o1 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.