// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "openai/gpt-4o"
}).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"
}).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",
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",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
GPT-4o ("omni") is OpenAI's multimodal model capable of processing text, audio, images, and video inputs while generating text and images. It offers 4x faster responses than GPT-4 with superior non-English language and vision performance.
Context Window 128K
tokens
Max Output 16K
tokens
Input Cost $2.5
per million tokens
Output Cost $10
per million tokens
Input text, image
modalities
Tool Use Yes
Knowledge Cutoff Sep 2023
Release Date May 13, 2024
Output Speed 207
tokens / sec
Latency 0.53s
time to first token
Model Playground
Try GPT-4o instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How GPT-4o performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 54.3% |
| Humanity's Last Exam Cross-domain reasoning | 3.3% |
| LiveCodeBench Recent coding problems | 30.9% |
| SciCode Scientific programming | 33.3% |
| MATH-500 Competition math | 75.9% |
| AIME 2024 Advanced math exam | 15.0% |
| AIME 2025 Advanced math exam | 6.0% |
| IFBench Instruction following | 34.3% |
| LCR Long-context reasoning | 0.0% |
| Terminal-Bench Hard Agentic terminal tasks | 8.3% |
| τ²-Bench Tool use / agents | 25.1% |
Scores sourced from Artificial Analysis.
Find other OpenAI models →
GPT-5.6 Sol
GPT-5.6 Sol is OpenAI's flagship model in the GPT-5.6 family, sitting above Terra and Luna as the most capable and most expensive of the three. It reached general availability on July 9, 2026. Sol is built for agentic coding, cybersecurity research, and long-horizon autonomous work. OpenAI reports it sets a new state of the art on Terminal-Bench 2.1, a benchmark for command-line workflows that require planning, iteration, and tool coordination, and describes it as the most capable model yet for cybersecurity tasks such as vulnerability research. The GPT-5.6 family adds a max reasoning effort setting, an ultra mode that coordinates subagents on complex tasks, and Programmatic Tool Calling in the Responses API. Sol carries a 1.05M token context window, 128,000 max output tokens, and a February 16, 2026 knowledge cutoff, making it best suited for teams that need the highest available capability and can absorb its premium per-token cost.
ChatGPT-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.
ChatGPT-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
You can access GPT-4o 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-4o 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 | $2.5 |
| Output | $10 |
GPT-4o was created by OpenAI and released on May 13, 2024.
GPT-4o supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
GPT-4o can generate up to 16K tokens in a single response.
GPT-4o has a knowledge cutoff date of Sep 2023. This means the model was trained on data available up to that date.
GPT-4o accepts the following input types: text, image. It produces: text.
Yes, GPT-4o supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
GPT-4o scores 11.2 on the Artificial Analysis Intelligence Index, outperforming 40% of tracked models. On math, it scores 6.0 (outperforms 8% of models).
Yes — the GPT-4o 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 to your app without worrying about API keys or setup.
Read the Docs View Tutorials