Arcee AI: Trinity Large Preview

Access Trinity Large Preview from Arcee AI using Puter.js AI API.

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Model Card

Trinity Large Preview is a 400B-parameter open-weight sparse Mixture-of-Experts model from Arcee AI with 13B active parameters per token, trained on 17+ trillion tokens. It excels at creative writing, multi-turn conversations, tool use, and agentic coding tasks with support for up to 128K context.

Context Window N/A

tokens

Max Output N/A

tokens

Input Cost $0

per million tokens

Output Cost $0

per million tokens

Release Date Jan 27, 2026

 

API Usage Example

Add Trinity Large Preview to your app with just a few lines of code.
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", {
    model: "arcee-ai/trinity-large-preview:free"
}).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: "arcee-ai/trinity-large-preview:free"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="arcee-ai/trinity-large-preview:free",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "arcee-ai/trinity-large-preview:free",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

View full documentation →

More AI Models From Arcee AI

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Trinity Mini

Arcee Trinity Mini is a 26B parameter sparse mixture-of-experts (MoE) model with only 3B active parameters per token, trained end-to-end in the U.S. on 10T tokens. It features 128 experts with 8 active per token, a 128k context window, and is optimized for multi-turn reasoning, function calling, and agent workflows. Released under Apache 2.0, it offers strong performance at extremely cost-efficient pricing.

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Virtuoso Large

Arcee Virtuoso Large is a 72B parameter general-purpose model based on Qwen 2.5-72B, trained using DistillKit and MergeKit with DeepSeek R1 distillation techniques. It retains a 128k context window for ingesting large documents, codebases, or financial filings, excelling at cross-domain reasoning, creative writing, and enterprise QA. The model serves as the fallback brain in Arcee Conductor pipelines when smaller SLMs flag low confidence.

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Spotlight

Arcee Spotlight is a 7B parameter vision-language model derived from Qwen 2.5-VL, fine-tuned for image-text grounding tasks like captioning, visual question-answering, and diagram analysis. It offers a 32k-128k token context window enabling multimodal conversations combining documents with images. The model matches or outperforms larger VLMs like LLaVA-1.6 13B while running efficiently on consumer GPUs.

View all Arcee AI models →

Frequently Asked Questions

How do I use Trinity Large Preview?

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.

Is Trinity Large Preview free?

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.

What is the pricing for Trinity Large Preview?
Pricing for Trinity Large Preview is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0
Output$0
Who created Trinity Large Preview?

Trinity Large Preview was created by Arcee AI and released on Jan 27, 2026.

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

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 Trinity Large Preview to your app without worrying about API keys or setup.

Read the Docs View Tutorials