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OpenAI: GPT-3.5 TurboTurbocharge Text Generation

Try OpenAI: GPT-3.5 TurboAPI Documentation

Deploy GPT-3.5 Turbo Now

Chat Optimized

Handles Conversations

OpenAI: GPT-3.5 Turbo excels in chat completions via API with 16K token context.

Cost Efficient

Low Token Pricing

OpenAI GPT 3.5 Turbo API charges $0.50/M input, $1.50/M output tokens.

Fine-Tunable

Customizes Performance

Fine-tune OpenAI: GPT-3.5 Turbo model to match tasks and cut prompt sizes.

Examples

See what OpenAI: GPT-3.5 Turbo can create

Copy any prompt below and try it yourself in the playground.

Code Function

“Write a Python function that calculates the Fibonacci sequence up to n terms, optimized for efficiency, with docstring and example usage.”

Email Draft

“Draft a professional follow-up email after a product demo meeting, summarizing key points, next steps, and call to action.”

Summary Task

“Summarize the main features of large language models like GPT-3.5 Turbo in three bullet points for a technical audience.”

Data Analysis

“Analyze this dataset of sales figures over 12 months and generate insights on trends, peaks, and recommendations.”

For Developers

A few lines of code.
Chat Completions. 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
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about OpenAI: GPT-3.5 Turbo

Read the docs

OpenAI: GPT-3.5 Turbo is a fast, cost-efficient LLM optimized for chat and completions. It supports 16K context and 4K output tokens. Use it via OpenAI: GPT-3.5 Turbo API.

It costs $0.50 per million input tokens and $1.50 per million output tokens. Pricing remains low for high-volume use. Fine-tuning adds customization without extra base costs.

The model handles 16,384 input tokens, about 12,000 words. Output maxes at 4,000 tokens per response. This suits most chat and generation tasks.

Yes, fine-tuning for OpenAI GPT 3.5 Turbo API is available since August 2023. It improves task performance and shortens prompts by up to 90%. Custom models run at scale.

This page offers OpenAI: GPT-3.5 Turbo alternative with compatible API endpoints. It matches speed and cost for LLM tasks. Switch seamlessly via OpenAI SDK.

It generates natural language, code, and chat responses. Supports function calling and batch processing. Lacks image or speech modalities.

Ready to create?

Start generating with OpenAI: GPT-3.5 Turbo on ModelsLab.

Try OpenAI: GPT-3.5 TurboAPI Documentation