// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "openai/o1"
}).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/o1"
}).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/o1",
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/o1",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
OpenAI o1 is a reasoning model that thinks before answering using chain-of-thought, excelling at complex science and mathematics tasks. It was the first in OpenAI's "o" series designed for step-by-step logical reasoning.
Context Window 200K
tokens
Max Output 100K
tokens
Input Cost $15
per million tokens
Output Cost $60
per million tokens
Input text, image
modalities
Tool Use Yes
Knowledge Cutoff Sep 2023
Release Date Dec 5, 2024
Output Speed 121
tokens / sec
Latency 20.26s
time to first token
Model Playground
Try OpenAI o1 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How OpenAI o1 performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 74.7% |
| Humanity's Last Exam Cross-domain reasoning | 7.7% |
| LiveCodeBench Recent coding problems | 67.9% |
| SciCode Scientific programming | 35.8% |
| MATH-500 Competition math | 97.0% |
| AIME 2024 Advanced math exam | 72.3% |
| IFBench Instruction following | 70.3% |
| LCR Long-context reasoning | 59.3% |
| Terminal-Bench Hard Agentic terminal tasks | 12.9% |
| τ²-Bench Tool use / agents | 62.6% |
Scores sourced from Artificial Analysis.
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Frequently Asked Questions
You can access OpenAI o1 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 OpenAI o1 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 | $15 |
| Output | $60 |
OpenAI o1 was created by OpenAI and released on Dec 5, 2024.
OpenAI o1 supports a context window of 200K tokens. For reference, that is roughly equivalent to 400 pages of text.
OpenAI o1 can generate up to 100K tokens in a single response.
OpenAI o1 has a knowledge cutoff date of Sep 2023. This means the model was trained on data available up to that date.
OpenAI o1 accepts the following input types: text, image. It produces: text.
Yes, OpenAI o1 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the OpenAI o1 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 OpenAI o1 to your app without worrying about API keys or setup.
Read the Docs View Tutorials