OpenAI: GPT-3.5 Turbo Instruct
openai/gpt-3.5-turbo-instruct
Access GPT-3.5 Turbo Instruct 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-instruct"
}).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-instruct"
}).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-instruct",
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-instruct",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
GPT-3.5 Turbo Instruct is an instruction-following model using the Completions API rather than Chat Completions. It's designed for single-turn instruction tasks rather than multi-turn conversations.
Context Window 4K
tokens
Max Output 4K
tokens
Input Cost $1.5
per million tokens
Output Cost $2
per million tokens
Release Date Sep 19, 2023
Model Playground
Try GPT-3.5 Turbo Instruct instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From OpenAI
GPT-5.4 Mini
GPT-5.4 Mini is OpenAI's fast, efficient distillation of GPT-5.4, significantly improving over GPT-5 Mini across coding, reasoning, multimodal understanding, and tool use while running 2x faster. It approaches GPT-5.4-level performance on several benchmarks and features a 400k context window.
ChatGPT-5.4 Nano
GPT-5.4 Nano is the smallest and cheapest model in the GPT-5.4 family, offering a 400k context window at just $0.20/1M input tokens. It excels at classification, data extraction, ranking, and coding sub-agent tasks, outperforming the previous GPT-5 Mini on SWE-Bench Pro (52.4% vs 45.7%). It's ideal for high-volume, low-latency workloads and as a fast sub-agent in multi-model architectures.
ChatGPT-5.4
GPT-5.4 is OpenAI's latest frontier model released on March 5, 2026, designed for complex professional work with a 1.05M token context window, built-in computer-use capabilities, and improved coding from GPT-5.3-Codex. It is 33% less likely to make factual errors per claim compared to GPT-5.2 and scores 83% on OpenAI's GDPval knowledge work benchmark.
Frequently Asked Questions
You can access GPT-3.5 Turbo Instruct 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add GPT-3.5 Turbo Instruct to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $1.5 |
| Output | $2 |
GPT-3.5 Turbo Instruct was created by OpenAI and released on Sep 19, 2023.
GPT-3.5 Turbo Instruct supports a context window of 4K tokens. For reference, that is roughly equivalent to 8 pages of text.
GPT-3.5 Turbo Instruct can generate up to 4K tokens in a single response.
Yes — the GPT-3.5 Turbo Instruct 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 Instruct to your app without worrying about API keys or setup.
Read the Docs View Tutorials