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OpenAI

OpenAI: GPT-3.5 Turbo

openai/gpt-3.5-turbo

Access GPT-3.5 Turbo from OpenAI using Puter.js AI API.

Get Started
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "openai/gpt-3.5-turbo"
}).then(response => {
    document.body.innerHTML = response.message.content;
});
<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "openai/gpt-3.5-turbo"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>
# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="openai/gpt-3.5-turbo",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "openai/gpt-3.5-turbo",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

GPT-3.5 Turbo is a legacy GPT model optimized for chat and non-chat tasks at low cost. As of July 2024, OpenAI recommends using GPT-4o Mini instead as it's cheaper, more capable, and multimodal.

Context Window 16K

tokens

Max Output 4K

tokens

Input Cost $0.5

per million tokens

Output Cost $1.5

per million tokens

Release Date May 28, 2023

 

Output Speed 148

tokens / sec

Latency 0.63s

time to first token

Model Playground

Try GPT-3.5 Turbo instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat openai/gpt-3.5-turbo
OpenAI
Chat with GPT-3.5 Turbo
Powered by Puter.js

Benchmarks

How GPT-3.5 Turbo performs on standard evaluations.

Artificial Analysis
Intelligence Index
3.6
Better than 9% of tracked models
Artificial Analysis
Coding Index
10.7
Better than 12% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
29.7%
MATH-500 Competition math
44.1%

Scores sourced from Artificial Analysis.

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GPT-5.6 Sol Pro

GPT-5.6 Sol Pro is OpenAI's highest-capability configuration of GPT-5.6 Sol, the flagship tier in the GPT-5.6 family alongside the smaller Terra and Luna models. Sol is built for complex reasoning, coding, scientific work, and long-running agentic tasks. Sol Pro is not a separate, larger model. It runs the same underlying model as base Sol with reasoning mode set to pro for higher-quality responses on harder problems, which is why it shares identical pricing with the base model, $5 per million input tokens and $30 per million output tokens, unlike GPT-5.4 Pro and GPT-5.5 Pro, which cost several times more than their base models. It carries the same 1,050,000-token context window and 128,000 max output tokens as GPT-5.6 Sol, and supports image input, function calling, and the Responses API tool suite. It launched July 9, 2026, aimed at the hardest, longest-running tasks where response quality matters more than cost or latency.

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GPT-5.6 Terra

GPT-5.6 Terra is OpenAI's mid-tier chat model in the GPT-5.6 family, positioned between the flagship Sol and the faster, cheaper Luna. OpenAI's documentation describes it as designed for workloads that balance intelligence and cost, corresponding to the mini tier used in earlier GPT-5 families. In OpenAI's naming system, the number marks a model's generation, while Sol, Terra, and Luna mark capability tiers that can each advance on their own schedule. It has a 1,050,000 token context window, up to 128,000 output tokens, and a February 16, 2026 knowledge cutoff. Pricing is $2.50 per million input tokens and $15 per million output tokens, between Luna's $1/$6 and Sol's $5/$30. Terra accepts text and image input, supports function calling and tool use, and is aimed at high-volume business tasks such as customer support, internal tools, and document analysis, alongside everyday interactive and agentic coding where Sol's higher reasoning ceiling isn't needed.

Frequently Asked Questions

How do I use GPT-3.5 Turbo?

You can access GPT-3.5 Turbo by OpenAI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is GPT-3.5 Turbo free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add GPT-3.5 Turbo to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for GPT-3.5 Turbo?
GPT-3.5 Turbo costs $0.5 per 1M input tokens and $1.5 per 1M output tokens.
Price per 1M tokens
Input$0.5
Output$1.5
Who created GPT-3.5 Turbo?

GPT-3.5 Turbo was created by OpenAI and released on May 28, 2023.

What is the context window of GPT-3.5 Turbo?

GPT-3.5 Turbo supports a context window of 16K tokens. For reference, that is roughly equivalent to 33 pages of text.

What is the max output length of GPT-3.5 Turbo?

GPT-3.5 Turbo can generate up to 4K tokens in a single response.

How does GPT-3.5 Turbo perform on benchmarks?

GPT-3.5 Turbo scores 3.6 on the Artificial Analysis Intelligence Index, outperforming 9% of tracked models. On coding, it scores 10.7 (outperforms 12% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the GPT-3.5 Turbo API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add GPT-3.5 Turbo to your app without worrying about API keys or setup.

Read the Docs View Tutorials