Arcee AI: Trinity Large Preview

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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>

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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.

Frequently Asked Questions

How do I use Trinity Large Preview?

Trinity Large Preview is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Trinity Large Preview?

Trinity Large Preview costs $0.25 per 1M input tokens and $1 per 1M output tokens.

	Price per 1M tokens
Input	$0.25
Output	$1

Who created Trinity Large Preview?

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

What is the context window of Trinity Large Preview?

Trinity Large Preview 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 Trinity Large Preview?

Trinity Large Preview can generate up to 131K tokens in a single response.

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.

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