Arcee AI: Maestro Reasoning

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Arcee Maestro Reasoning is a 32-billion-parameter analytical reasoning model from Arcee AI, derived from Qwen2.5-32B and post-trained with DPO and chain-of-thought reinforcement learning to produce step-by-step logical reasoning traces.

It targets complex problem-solving, abstract reasoning, multi-step scenario modeling, and tasks requiring transparent, auditable inference chains — a natural fit for legal, financial, and scientific applications. The 128k context window allows reasoning over long documents in a single call.

On Yupp's high-reasoning benchmark, Maestro Reasoning ranks among the top five models overall, competing with significantly larger frontier models. It delivers strong reasoning quality at a mid-tier parameter count.

Context Window 131K

tokens

Max Output 32K

tokens

Input Cost $0.9

per million tokens

Output Cost $3.3

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

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 Maestro Reasoning?

Maestro Reasoning is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Maestro Reasoning?

Maestro Reasoning costs $0.9 per 1M input tokens and $3.3 per 1M output tokens.

	Price per 1M tokens
Input	$0.9
Output	$3.3

Who created Maestro Reasoning?

Maestro Reasoning was created by Arcee AI and released on May 5, 2025.

What is the context window of Maestro Reasoning?

Maestro Reasoning 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 Maestro Reasoning?

Maestro Reasoning can generate up to 32K tokens in a single response.

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

Yes — the Maestro Reasoning 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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