GPT-3.5 Turbo API

openai/gpt-3.5-turbo
Fast and cost-efficient OpenAI model for a wide range of text generation and conversation tasks.
Context
16K tokens
Input
$0.65 / 1M tokens
Output
$1.95 / 1M tokens
Released
Aug 7, 2025

Overview

What is GPT-3.5 Turbo API?

Fast and cost-efficient OpenAI model for a wide range of text generation and conversation tasks.

Technical Specifications
- Supported inputs: Text
- Output: Text
- Context window: 16,000 tokens / Max output: —
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

GPT-3.5 Turbo API Pricing
- Input: $0.65 / 1M tokens
- Output: $1.95 / 1M tokens

Where to Use GPT-3.5 Turbo

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

  • Uptime (24h): 100%
  • Uptime (7d): 100%
  • Availability (24h): 100%
  • Error rate (24h): 0%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

GPT-3.5 Turbo is documented as suited to cheaper chat and non-chat tasks. It is also described as useful for chat and traditional completion tasks, including applications that need natural language or code generation.

It is optimized for chat using the Chat Completions API, so it fits conversational assistants and other chat-based applications.

The model is also documented for use in functions that convert natural language into structured outputs, such as API calls or database queries.

It can be used for fine-tuning to improve instruction-following and consistent output formatting, including cases like terse responses, a fixed response language, code completion, or JSON generation.

How to use GPT-3.5 Turbo API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to openai/gpt-3.5-turbo.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "openai/gpt-3.5-turbo",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "openai/gpt-3.5-turbo",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-3.5-turbo","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

GPT-3.5 Turbo API Pricing

TypePrice
Input
$0.65 / 1M tokens
Output
$1.95 / 1M tokens

GPT-3.5 Turbo Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Intelligence
5.5
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Coding
10.7
Composite score across standardised coding evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026

Frequently asked questions

GPT-3.5 Turbo has a 16,000 tokens context window.

GPT-3.5 Turbo takes text as input and returns text.

Use openai/gpt-3.5-turbo as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

GPT-3.5 Turbo became available on August 7, 2025.

GPT-3.5 Turbo is priced at input $0.65 / 1M tokens, output $1.95 / 1M tokens.

Yes, GPT-3.5 Turbo can stream responses as they are generated.

GPT-3.5 Turbo was built by OpenAI.

No. Its listed capabilities are function calling, streaming, and structured outputs, not dedicated reasoning.

Yes. It is available at the endpoint https://api.aimlapi.com/v1/chat/completions.

Yes. It supports function calling, tools, and parallel tool calls.

Yes. It supports structured output generation.

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