# o3 Pro API Pricing

As of October 10, 2026, o3 Pro costs $20.00 per 1M input tokens and $80.00 per 1M output tokens on OpenAI. It has a 200,000-token context window and returns up to 100,000 tokens per response.

- Page: https://models.litellm.ai/models/o3-pro
- Lab: OpenAI
- LiteLLM model name: `o3-pro`
- Context window: 200,000 tokens
- Max output: 100,000 tokens
- Added to LiteLLM: June 2025
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| OpenAI | `o3-pro` | $20.00 | $80.00 | – | – | – | 200K |
| OpenAI (snapshot 2025-06-10) | `o3-pro-2025-06-10` | $20.00 | $80.00 | – | – | – | 200K |
| Azure OpenAI | `azure/o3-pro` | $20.00 | $80.00 | – | – | – | 200K |
| Azure OpenAI (snapshot 2025-06-10) | `azure/o3-pro-2025-06-10` | $20.00 | $80.00 | – | – | – | 200K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- OpenAI: $80.00
- Azure OpenAI: $80.00
- OpenAI batch: $40.00

100 long-document requests with 100,000 input and 2,000 output tokens each:

- OpenAI: $216.00
- Azure OpenAI: $216.00

## Features

Supported: Function calling, Structured output, Image input, PDF input, Reasoning, Prompt caching, Web search.
Not supported: Parallel tool calls.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="o3-pro",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does o3 Pro cost?

o3 Pro costs $20.00 per 1M input tokens and $80.00 per 1M output tokens on OpenAI. Batch requests cost $10.00 per 1M input tokens and $40.00 per 1M output tokens.

### What is the context window of o3 Pro?

o3 Pro has a 200,000-token context window and returns up to 100,000 tokens per response.

### Which providers offer o3 Pro?

o3 Pro is available from 2 providers through LiteLLM: OpenAI and Azure OpenAI.

### How do I call o3 Pro with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="o3-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 o3 Pro support?

o3 Pro supports function calling, structured output, image input, PDF input, reasoning, prompt caching and web search. It does not support parallel tool calls.

### When did LiteLLM add o3 Pro?

o3 Pro was added to LiteLLM's model price file in June 2025.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json