OpenAI

OpenAI: GPT-4o 2024-05-13

openai/gpt-4o-2024-05-13

Access GPT-4o 2024-05-13 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-4o-2024-05-13"
}).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-4o-2024-05-13"
        }).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-4o-2024-05-13",
    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-4o-2024-05-13",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

GPT-4o 2024-05-13 is the initial release snapshot of GPT-4o from May 2024. It provides version-locked behavior for applications requiring consistent model performance.

Context Window 128K

tokens

Max Output 4K

tokens

Input Cost $5

per million tokens

Output Cost $15

per million tokens

Release Date May 13, 2024

 

Output Speed 108

tokens / sec

Latency 0.63s

time to first token

Model Playground

Try GPT-4o 2024-05-13 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat openai/gpt-4o-2024-05-13
OpenAI
Chat with GPT-4o 2024-05-13
Powered by Puter.js

Benchmarks

How GPT-4o 2024-05-13 performs on standard evaluations.

Artificial Analysis
Intelligence Index
14.5
Better than 34% of tracked models
Artificial Analysis
Coding Index
24.2
Better than 64% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
52.6%
Humanity's Last Exam Cross-domain reasoning
2.8%
LiveCodeBench Recent coding problems
33.4%
SciCode Scientific programming
30.9%
MATH-500 Competition math
79.1%
AIME 2024 Advanced math exam
11.0%

Scores sourced from Artificial Analysis.

Frequently Asked Questions

How do I use GPT-4o 2024-05-13?

You can access GPT-4o 2024-05-13 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-4o 2024-05-13 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add GPT-4o 2024-05-13 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-4o 2024-05-13?
Pricing for GPT-4o 2024-05-13 is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$5
Output$15
Who created GPT-4o 2024-05-13?

GPT-4o 2024-05-13 was created by OpenAI and released on May 13, 2024.

What is the context window of GPT-4o 2024-05-13?

GPT-4o 2024-05-13 supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.

What is the max output length of GPT-4o 2024-05-13?

GPT-4o 2024-05-13 can generate up to 4K tokens in a single response.

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

Yes — the GPT-4o 2024-05-13 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-4o 2024-05-13 to your app without worrying about API keys or setup.

Read the Docs View Tutorials