---
title: GPT-3.5 Turbo — Fast LLM | ModelsLab
description: Access OpenAI GPT-3.5 Turbo API for chat completions and text generation. Try this cost-efficient OpenAI: GPT-3.5 Turbo alternative now.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/openai-gpt-35-turbo
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/openai-gpt-35-turbo
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T10:53:30.536946Z
---

Available now on ModelsLab · Language Model

OpenAI: GPT-3.5 Turbo
Turbocharge Text Generation
---

[Try OpenAI: GPT-3.5 Turbo](/models/open_router/openai-gpt-3.5-turbo) [API Documentation](https://docs.modelslab.com)

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](/models/open_router/openai-gpt-3.5-turbo).

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 ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

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

FAQ

Common questions about OpenAI: GPT-3.5 Turbo
---

[Read the docs ](https://docs.modelslab.com)

### What is OpenAI: GPT-3.5 Turbo?

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.

### How does openai gpt 3.5 turbo api pricing work?

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.

### What is the OpenAI: GPT-3.5 Turbo model context window?

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.

### Does openai: gpt-3.5 turbo api support fine-tuning?

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.

### Is OpenAI: GPT-3.5 Turbo alternative available?

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.

### What tasks works with openai gpt 3.5 turbo?

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 Turbo](/models/open_router/openai-gpt-3.5-turbo) [API Documentation](https://docs.modelslab.com)

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-05-13*