Technical Specifications of gpt-4o
| Specification | Details |
|---|---|
| Model ID | gpt-4o |
| Provider | OpenAI |
| Model type | Multimodal large language model |
| Context length | 128,000 tokens |
| Knowledge cutoff | October 2023 |
| Input modalities | Text, image |
| Output modalities | Text |
| Tool calling support | Yes, models in the 1106 series and above support tool_calls and function_call |
| Performance profile | Faster and cheaper than GPT-4 Turbo, with stronger visual capabilities |
What is gpt-4o?
gpt-4o is OpenAI's most advanced Multimodal model, designed to handle both language and visual understanding tasks with high performance and efficiency. It is positioned as a faster and more cost-effective alternative to GPT-4 Turbo, while also delivering stronger image and visual reasoning capabilities.
With a maximum context length of 128,000 tokens, gpt-4o is suitable for long conversations, large documents, complex instructions, and multimodal workflows that combine text and image inputs. It is a strong choice for developers building assistants, document analysis tools, visual question answering systems, and advanced enterprise AI applications.
Main features of gpt-4o
- Multimodal understanding: Accepts both text and image inputs, enabling applications that combine natural language processing with visual analysis.
- Large context window: Supports up to 128,000 tokens, making it effective for long-form content, multi-step conversations, and large prompt payloads.
- Stronger visual capabilities: Offers improved image understanding and visual reasoning compared with earlier GPT-4 family variants.
- High efficiency: Faster and cheaper than GPT-4 Turbo, helping reduce latency and cost in production workloads.
- Advanced tool support: Models in the 1106 series and above support
tool_callsandfunction_call, making structured integrations and agent workflows easier to implement. - Flexible application coverage: Well suited for chatbots, content generation, document interpretation, multimodal assistants, and workflow automation.
How to access and integrate gpt-4o
Step 1: Sign Up for API Key
To start using gpt-4o, first create an account on CometAPI and generate your API key from the dashboard. After signing up, store your API key securely and avoid exposing it in client-side code or public repositories.
Step 2: Send Requests to gpt-4o API
Once you have your API key, you can send requests to the CometAPI chat completions endpoint using gpt-4o as the model name.
curl --location 'https://api.cometapi.com/v1/chat/completions' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "Hello! What can you do?"
}
]
}'
Step 3: Retrieve and Verify Results
After sending the request, CometAPI returns a structured JSON response containing the generated output, usage data, and other metadata. Verify that the model field is gpt-4o, review the choices array for the assistant response, and inspect token usage and finish reasons before integrating the result into your application logic.