Preview version of GPT-4o with integrated web search for enhanced real-time knowledge and information access.
gpt-4o
Common Name: GPT-4 Omni
OpenAI's flagship multimodal model combining text and vision capabilities with GPT-4 level intelligence.
Specifications
Performance (7-day Average)
Pricing
Usage Statistics
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Documentation
GPT-4o
GPT-4o ("o" for "omni") is OpenAI's most advanced model. It accepts text, image, and audio inputs and generates text and audio outputs. It's designed for fast, real-time interactions.
Key Features
- Multimodal: Process text, images, and audio in a single request
- Fast Response: Optimized for low-latency applications
- 128K Context: Large context window for complex conversations
- Vision: Analyze images, charts, and documents
API Usage
from openai import OpenAI
client = OpenAI(
base_url="https://api.ohmygpt.com/v1",
api_key="your-api-key",
)
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "user", "content": "Hello, how are you?"}
],
)
print(response.choices[0].message.content)Vision Example
GPT-4o can analyze images by including them in your messages:
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's in this image?"},
{
"type": "image_url",
"image_url": {"url": "https://example.com/image.jpg"}
}
]
}
],
)Best Practices
- Be Specific: Provide clear, detailed prompts for better results
- Use System Messages: Set context and behavior with system messages
- Manage Tokens: Monitor token usage to control costs
- Handle Errors: Implement retry logic for rate limits