Arcee AI: Trinity Large Preview
This model is no longer available.Add AI to your application with Puter.js.
Explore Other ModelsModel Card
Trinity Large Preview is a 400-billion-parameter sparse Mixture-of-Experts model from Arcee AI, with approximately 13B active parameters per token. It uses 256 experts with 4 active per token, trained on over 17 trillion tokens.
On MMLU it scores 87.2, and it achieved 24.0 on AIME 2025, demonstrating strong mathematical reasoning alongside general knowledge. The 128k context window supports long-document analysis and complex reasoning workflows.
Trinity Large Preview is suited for complex reasoning, math, and coding-adjacent workflows where developers want near-frontier quality through an API at substantially lower cost than dense models of equivalent scale.
Context Window 131K
tokens
Max Output 131K
tokens
Input Cost $0.25
per million tokens
Output Cost $1
per million tokens
Release Date Jan 27, 2026
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>
More AI Models From Arcee AI
Trinity Large Thinking
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.
ChatVirtuoso Large
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.
Frequently Asked Questions
You can access Trinity Large Preview 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Trinity Large Preview to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.25 |
| Output | $1 |
Trinity Large Preview was created by Arcee AI and released on Jan 27, 2026.
Trinity Large Preview supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Trinity Large Preview can generate up to 131K tokens in a single response.
Yes — the Trinity Large Preview 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.
Explore Models View Tutorials