o4 Mini Deep Research API Pricing
As of October 10, 2026, o4 Mini Deep Research costs $2.00 per 1M input tokens and $8.00 per 1M output tokens on OpenAI, with cache reads at $0.50 per 1M tokens. It has a 200,000-token context window and returns up to 100,000 tokens per response.
o4-mini-deep-research.- Input
- $2.00 / 1M tokens
- Output
- $8.00 / 1M tokens
- Cache read
- $0.50 / 1M tokens
- Context window
- 200,000 tokens
- Max output
- 100,000 tokens
- Providers
- 1
- Added to LiteLLM
- July 2025
o4 Mini Deep Research pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| OpenAI | o4-mini-deep-research | $2.00 | $8.00 | $0.50 | 200K |
What o4 Mini Deep Research costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| OpenAI | $8.00 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| OpenAI | $21.60 |
o4 Mini Deep Research features
Input: text, image. Output: text.
- Function calling
- Parallel tool calls
- Structured output
- Image input
- PDF input
- Reasoning
- Prompt caching
Use o4 Mini Deep Research with LiteLLM
Call o4 Mini Deep Research 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="o4-mini-deep-research",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: o4-mini-deep-research
litellm_params:
model: o4-mini-deep-research
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": "o4-mini-deep-research",
"messages": [{"role": "user", "content": "Hello!"}]
}'o4 Mini Deep Research FAQ
How much does o4 Mini Deep Research cost?
o4 Mini Deep Research costs $2.00 per 1M input tokens and $8.00 per 1M output tokens on OpenAI, with cache reads at $0.50 per 1M tokens.
What is the context window of o4 Mini Deep Research?
o4 Mini Deep Research has a 200,000-token context window and returns up to 100,000 tokens per response.
Which providers offer o4 Mini Deep Research?
o4 Mini Deep Research is available from OpenAI through LiteLLM, using the model name o4-mini-deep-research.
How do I call o4 Mini Deep Research with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="o4-mini-deep-research", 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 o4 Mini Deep Research support?
o4 Mini Deep Research supports image input, PDF input, reasoning and prompt caching. It does not support function calling, parallel tool calls and structured output.
When did LiteLLM add o4 Mini Deep Research?
o4 Mini Deep Research was added to LiteLLM's model price file in July 2025.
Is o4 Mini Deep Research being deprecated?
OpenAI deprecated o4-mini-deep-research on July 23, 2026.
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.
