OpenAI: GPT-4 Turbo
Turbocharge LLM Tasks
Scale With GPT-4 Turbo
Massive Context
128K Token Window
Process 300 pages or long docs in OpenAI GPT-4 Turbo model for coherent analysis.
High Control
JSON Outputs Seeds
Request structured JSON from openai gpt 4 turbo api with reproducible seeds for apps.
Faster Inference
20 Tokens Per Second
Run OpenAI: GPT-4 Turbo API at double speed of GPT-4 with lower per-token costs.
Examples
See what OpenAI: GPT-4 Turbo can create
Copy any prompt below and try it yourself in the playground.
Code Refactor
“Refactor this Python function for efficiency, add type hints, and output as JSON: def process_data(data): return sorted(data). Explain changes in comments.”
Doc Summary
“Summarize this 50k token technical document on machine learning algorithms. Extract key concepts, equations, and applications in bullet points.”
JSON Agent
“Act as data analyst. Input: sales figures CSV. Output JSON with trends, anomalies, forecasts using seed 42 for reproducibility.”
Tech Explanation
“Explain transformer architecture to engineers. Include attention math, context handling up to 128k tokens, and GPT-4 Turbo optimizations.”
For Developers
A few lines of code.
GPT-4 Turbo. One Call.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with OpenAI: GPT-4 Turbo on ModelsLab.