Arcee AI: Virtuoso Large

Q: Is Virtuoso Large free?

Yes, it is free if you're using it through Puter.js . With the User-Pays Model , you can add Virtuoso Large to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

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Model Card

Arcee Virtuoso Large is a 72-billion-parameter general-purpose language model from Arcee AI, built on Qwen2.5-72B and post-trained using DeepSeek R1 distillation, multi-epoch supervised fine-tuning, and DPO/RLHF alignment.

It is designed for cross-domain reasoning, enterprise question answering, creative writing, and long-document comprehension, with a 128k context window that enables processing entire codebases or lengthy documents in a single API call.

Virtuoso Large is Arcee's flagship dense general-purpose model — a solid default choice for developers who need reliable, broad-capability performance without the routing complexity of MoE architectures.

Context Window 131K

tokens

Max Output 64K

tokens

Input Cost $0.75

per million tokens

Output Cost $1.2

per million tokens

Release Date May 5, 2025

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>

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Trinity Large Thinking is a 398-billion-parameter sparse Mixture-of-Experts reasoning model from Arcee AI, with approximately 13B active parameters per token, post-trained with extended chain-of-thought and agentic reinforcement learning. It generates explicit reasoning traces in thinking blocks before final responses, and its 262K context window accommodates long agentic reasoning chains. Benchmark results include 94.7% on τ²-Bench and 98.2% on LiveCodeBench, placing it at #2 on PinchBench behind only Claude Opus 4.6. Released under Apache 2.0, Trinity Large Thinking is the strongest option in the Trinity family for agentic pipelines, long-horizon planning, complex multi-step coding, and tasks that benefit from transparent reasoning traces.

Frequently Asked Questions

How do I use Virtuoso Large?

You can access Virtuoso Large by Arcee AI 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.

Is Virtuoso Large free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Virtuoso Large to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Virtuoso Large?

Virtuoso Large costs $0.75 per 1M input tokens and $1.2 per 1M output tokens.

	Price per 1M tokens
Input	$0.75
Output	$1.2

Who created Virtuoso Large?

Virtuoso Large was created by Arcee AI and released on May 5, 2025.

What is the context window of Virtuoso Large?

Virtuoso Large supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Virtuoso Large?

Virtuoso Large can generate up to 64K tokens in a single response.

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

Yes — the Virtuoso Large 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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