openai/o4-mini-deep-research
200,000 context · $2.00/M input tokens · $8.00/M output tokens
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Pricing
Pay-per-use
No upfront costs, pay only for what you use
Try the model
API Usage
Use the following code examples to integrate with our API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="openai/o4-mini-deep-research",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Model Introduction
Openai o4-mini-deep-research
openai o4-mini-deep-research
Why It Looks Great
- Large Language Model architecture for efficient processing
- 200000 context window for long document handling
- Competitive pricing at $2.2/$8.8 per million tokens
Key Features
- Context Window: 200000 tokens
- Max Output: 100000 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Openai |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 200000 tokens |
| Max Output | 100000 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $2.2 |
| Output | $8.8 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: openai/o4-mini-deep-research
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="openai/o4-mini-deep-research",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "openai/o4-mini-deep-research",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: openai/o4-mini-deep-research
- Provider: Openai
Info
Supported Functionality
API Access Guide
o4 Mini Deep Research API
openai/o4-mini-deep-research
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Input
$2 /M
Output
$8 /M
Context
200K
Max Output
100K
Vision
Supported
Tool Use
Supported
Try o4 Mini Deep Research on WaveSpeedAI
Access o4 Mini Deep Research through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about o4 Mini Deep Research
How much does o4 Mini Deep Research cost via the API?+
Pricing on WaveSpeedAI: $2.00 per million input tokens and $8.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of o4 Mini Deep Research?+
o4 Mini Deep Research supports up to 200K tokens of context with up to 100K tokens of output per request.
Is o4 Mini Deep Research OpenAI-compatible?+
Yes. WaveSpeedAI exposes o4 Mini Deep Research through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
How do I get started with o4 Mini Deep Research?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate o4 Mini Deep Research before paying per token.