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Perceptron

Perceptron: Perceptron Mk1

perceptron/perceptron-mk1

Try Perceptron Mk1 for free in your browser, and add it to your app for free with Puter.js AI API.

Try it free Add to your app
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "perceptron/perceptron-mk1"
}).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: "perceptron/perceptron-mk1"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

Perceptron Mk1 is a vision-language model from Perceptron AI designed for video and embodied reasoning, capable of processing native video at up to 2 frames per second within its 32K context window.

It excels at video QA, video summarization, event detection, open-vocabulary object detection and counting, OCR on real-world documents, hand pose estimation, and point-by-example grounding from multimodal prompts. On spatial reasoning benchmarks, Mk1 scores 85.1 on EmbSpatialBench and 72.4 on RefSpatialBench, outperforming frontier models. On VSI-Bench it reaches 88.5, the highest recorded score among compared models.

At $0.15 per million input tokens, Mk1 is priced 80–90% below comparable frontier vision-language models, making it a strong choice for developers building video analysis, robotics data curation, or multimodal pipelines at scale.

Context Window 32K

tokens

Max Output 32K

tokens

Input Cost $0.15

per million tokens

Output Cost $1.5

per million tokens

Release Date May 12, 2026

 

Try Perceptron Mk1 for free

Try Perceptron Mk1 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat perceptron/perceptron-mk1
Perceptron
Chat with Perceptron Mk1
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Frequently Asked Questions

How do I use Perceptron Mk1?

You can access Perceptron Mk1 by Perceptron 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.

Can I try Perceptron Mk1 for free?

Perceptron Mk1 is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.

Is the Perceptron Mk1 API free for developers?

Perceptron Mk1 is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.

What is the pricing for Perceptron Mk1?
Perceptron Mk1 costs $0.15 per 1M input tokens and $1.5 per 1M output tokens.
Price per 1M tokens
Input$0.15
Output$1.5
Who created Perceptron Mk1?

Perceptron Mk1 was created by Perceptron and released on May 12, 2026.

What is the context window of Perceptron Mk1?

Perceptron Mk1 supports a context window of 32K tokens. For reference, that is roughly equivalent to 64 pages of text.

What is the max output length of Perceptron Mk1?

Perceptron Mk1 can generate up to 32K tokens in a single response.

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

Yes — the Perceptron Mk1 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.

Add Perceptron Mk1 to your app for free

Developers can integrate Perceptron Mk1 for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works