o1 Pro API Pricing
As of October 10, 2026, o1 Pro costs $150.00 per 1M input tokens and $600.00 per 1M output tokens on OpenAI. It has a 200,000-token context window and returns up to 100,000 tokens per response.
o1-pro.- Input
- $150.00 / 1M tokens
- Output
- $600.00 / 1M tokens
- Context window
- 200,000 tokens
- Max output
- 100,000 tokens
- Providers
- 1
- Added to LiteLLM
- March 2025
o1 Pro pricing by provider
2 listings across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
What o1 Pro costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| OpenAI | $600.00 |
| OpenAI batch | $300.00 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| OpenAI | $1,620.00 |
o1 Pro features
Input: text, image. Output: text.
- Function calling
- Parallel tool calls
- Structured output
- Image input
- PDF input
- Reasoning
- Prompt caching
Use o1 Pro with LiteLLM
Call o1 Pro through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/responses. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="o1-pro",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: o1-pro
litellm_params:
model: o1-pro
api_key: os.environ/OPENAI_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "o1-pro",
"messages": [{"role": "user", "content": "Hello!"}]
}'o1 Pro FAQ
How much does o1 Pro cost?
o1 Pro costs $150.00 per 1M input tokens and $600.00 per 1M output tokens on OpenAI. Batch requests cost $75.00 per 1M input tokens and $300.00 per 1M output tokens.
What is the context window of o1 Pro?
o1 Pro has a 200,000-token context window and returns up to 100,000 tokens per response.
Which providers offer o1 Pro?
o1 Pro is available from OpenAI through LiteLLM, using the model name o1-pro.
How do I call o1 Pro with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="o1-pro", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/responses from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does o1 Pro support?
o1 Pro supports function calling, parallel tool calls, structured output, image input, PDF input, reasoning and prompt caching.
When did LiteLLM add o1 Pro?
o1 Pro was added to LiteLLM's model price file in March 2025.
Is o1 Pro being deprecated?
OpenAI lists a deprecation date of October 23, 2026 for o1-pro.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: OpenAI.
Provider pages: OpenAI.
