Loveon: Loveon L
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Model Card
Loveon L is a chat model from Infron, built to power the Loveon AI companion app, and is designed for emotionally rich conversations and romantic roleplay scenarios.
It sits in Infron's lineup of models optimized for character-driven, immersive roleplay rather than general assistant work, with an emphasis on keeping a persona's tone and emotional register consistent through a conversation.
The model has a context window of just over 1 million tokens, enough to hold long chat histories and detailed character backstories without losing earlier turns, and a maximum output of 65,535 tokens per response.
An upgraded L2 variant exists in the same series with improved memory and character consistency, making Loveon L the earlier baseline model. It fits developers building AI companion, girlfriend/boyfriend, or character-chat products who want a model tuned for sustained romantic and emotional dialogue rather than factual or technical tasks.
Context Window 1M
tokens
Max Output 66K
tokens
Input Cost $0.3
per million tokens
Output Cost $0.7
per million tokens
Release Date N/A
Code Example
Add AI to your app with the Puter.js AI API — no API keys or setup 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
Loveon L is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0.3 |
| Output | $0.7 |
Loveon L supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,095 pages of text.
Loveon L can generate up to 66K tokens in a single response.
Yes — the Loveon L 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.
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