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Getting StartedExample 1: Chat with Olmo 3 32B ThinkExample 2: Streaming ResponsesList of AllenAI modelsConclusionRelated
Tutorials

Free, Unlimited AllenAI API

Reynaldi Chernando
On this page
Getting StartedExample 1: Chat with Olmo 3 32B ThinkExample 2: Streaming ResponsesList of AllenAI modelsConclusionRelated

In this tutorial, you will learn how to integrate AllenAI's models into your application using Puter.js. You can gain access to AllenAI's open language models such as Olmo 3 32B Think, and more without having to set up the AI server yourself.

Puter.js uses the User-Pays model, where users of your application cover their own AI costs. This means you as a developer don't pay anything for your users' usage, making your app practically free to run. You can scale to unlimited users and pay nothing for the AI or server usage.

Getting Started

To use Puter.js, import our NPM library in your project:

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

Or alternatively, add our script via CDN if you are working directly with HTML, simply add it to the <head> or <body> section of your code:

<script src="https://js.puter.com/v2/"></script>

That's it, you're ready to start integrating AllenAI open language models into your application.

Example 1: Chat with Olmo 3 32B Think

Olmo 3 32B Think is the first fully open 32B thinking model from AI2, exposing intermediate chain-of-thought reasoning traces. It is purpose-built for multi-step math, code, and general problem-solving tasks.

puter.ai.chat("Explain the concept of quantum computing in simple terms",
    { model: "allenai/olmo-3-32b-think" }
)
.then(response => {
    puter.print(response);
});

Full code example:

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain the concept of quantum computing in simple terms",
            { model: "allenai/olmo-3-32b-think" }
        )
        .then(response => {
            puter.print(response);
        });
    </script>
</body>
</html>

Example 2: Streaming Responses

For longer responses, use streaming to get results in real-time:

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        async function streamResponse() {
            const response = await puter.ai.chat(
                "Write a short essay about the future of artificial intelligence.",
                { model: "allenai/olmo-3-32b-think", stream: true }
            );

            for await (const part of response) {
                puter.print(part?.text);
            }
        }

        streamResponse();
    </script>
</body>
</html>

List of AllenAI models

You can use the following AllenAI models with Puter.js:

allenai/olmo-3-32b-think

Conclusion

Using Puter.js, you can gain access to AllenAI's open language models without having to set up the AI server yourself. And thanks to the User-Pays model, your users cover their own AI usage, not you as the developer. This means you can build powerful applications without worrying about AI usage costs.

You can find all AI features supported by Puter.js in the documentation.

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