O4 Mini Deep Research | OpenAI LLM API

Name: o4 Mini Deep Research API
Brand: openai
Price: 2 USD
Availability: InStock

Penggunaan API

Gunakan contoh kode berikut untuk integrasi dengan API kami:

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)

Pengenalan Model

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

Pertanyaan Umum tentang o4 Mini Deep Research

Berapa biaya o4 Mini Deep Research melalui API?+

Harga di WaveSpeedAI: $2.00 per juta token input dan $8.00 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.

Berapa context window o4 Mini Deep Research?+

o4 Mini Deep Research mendukung hingga 200K token konteks dengan hingga 100K token output per permintaan.

Apakah o4 Mini Deep Research kompatibel dengan OpenAI?+

Ya. WaveSpeedAI menyediakan o4 Mini Deep Research melalui endpoint yang kompatibel dengan OpenAI di https://llm.wavespeed.ai/v1. Arahkan OpenAI SDK resmi ke base URL ini dengan API key WaveSpeedAI Anda — tanpa perubahan kode lainnya.

Bagaimana memulai dengan o4 Mini Deep Research?+

Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id seperti ditampilkan di atas. Akun baru menerima kredit gratis untuk menguji o4 Mini Deep Research.

Harga

Coba model