Technical Specifications of gpt-4-turbo-2024-04-09
| Specification | Details |
|---|---|
| Model ID | gpt-4-turbo-2024-04-09 |
| Provider | OpenAI via CometAPI |
| Context Length | 128,000 tokens |
| Primary Modality | Text |
| Description | Upgraded version with stronger code generation capabilities, reduced model "laziness", and fixed non-English UTF-8 generation issues. |
What is gpt-4-turbo-2024-04-09?
gpt-4-turbo-2024-04-09 is an upgraded large language model available through CometAPI for text generation, coding assistance, reasoning, summarization, and multilingual tasks. It is designed to deliver improved responsiveness and higher-quality outputs, especially for programming-related workflows and structured prompt handling.
This model is particularly suitable for applications that require long-context processing, thanks to its 128,000-token context window. It can be used in chatbots, developer tools, content pipelines, enterprise assistants, and automation systems where consistent instruction following and broad language support are important.
Main features of gpt-4-turbo-2024-04-09
- Stronger code generation: Improved coding performance makes it better suited for generating, explaining, and transforming code across a wide range of programming tasks.
- Reduced model "laziness": The model is optimized to respond more completely and helpfully, improving follow-through on detailed prompts and multi-step requests.
- Improved multilingual output: Fixes for non-English UTF-8 generation issues help produce more reliable output in international and multilingual use cases.
- Large context window: With support for up to 128,000 tokens, the model can handle long documents, extensive conversations, and complex instructions in a single request.
- Versatile general-purpose usage: It can support content generation, analysis, summarization, customer support, research assistance, and workflow automation.
How to access and integrate gpt-4-turbo-2024-04-09
Step 1: Sign Up for API Key
To get started, create an account on CometAPI and generate your API key from the dashboard. This key is required to authenticate all requests. After obtaining your key, store it securely and avoid exposing it in client-side code or public repositories.
Step 2: Send Requests to gpt-4-turbo-2024-04-09 API
Use the following example to call the API with gpt-4-turbo-2024-04-09 as the model:
curl https://api.cometapi.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_COMETAPI_KEY" \
-d '{
"model": "gpt-4-turbo-2024-04-09",
"messages": [
{
"role": "user",
"content": "Write a short introduction to CometAPI."
}
]
}'
Step 3: Retrieve and Verify Results
After sending the request, CometAPI will return a JSON response containing the model output. Parse the returned choices array to retrieve the generated content, then verify the response for correctness, formatting, and completeness before using it in production workflows.