Model Card
InternVL3 78B is an open-source multimodal large language model from OpenGVLab that combines a 6B vision encoder with a 72B language model to process images, videos, documents, and text. It achieves state-of-the-art performance among open-source MLLMs on both perception and reasoning benchmarks, rivaling closed-source models like GPT-4o. Key innovations include Variable Visual Position Encoding (V2PE), native multimodal pre-training, and Mixed Preference Optimization.
Context Window N/A
tokens
Max Output 33K
tokens
Input Cost $0.15
per million tokens
Output Cost $0.6
per million tokens
Release Date Apr 10, 2025
API Usage Example
Add AI to your app with just a few lines of code.
No API keys, no backend, no configuration required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Frequently Asked Questions
The InternVL3 78B API gives you access to OpenGVLab's chat model through Puter.js. With just a few lines of JavaScript, you can integrate InternVL3 78B into any web app or Node.js project — no API keys, no backend, and no configuration required.
InternVL3 78B was created by OpenGVLab and released on Apr 10, 2025.
InternVL3 78B can generate up to 33K tokens in a single response.
| Price per 1M tokens | |
|---|---|
| Input | $0.15 |
| Output | $0.6 |
You can access the InternVL3 78B API with just a few lines of JavaScript — no API keys, no backend, and no configuration required. Include the Puter.js library in your project and start making calls right away. For more details, check out our documentation.
Yes — the InternVL3 78B 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 AI to your application without worrying about API keys or setup.
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