Arcee AI: Coder Large

Q: Is Coder Large free?

Yes, it is free if you're using it through Puter.js . With the User-Pays Model , you can add Coder 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.

This model is no longer available.

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Arcee Coder Large is a 32-billion-parameter code-generation model from Arcee AI, fine-tuned from Qwen2.5-Instruct on permissively-licensed GitHub data, CodeSearchNet, and synthetic bug-fix corpora.

It generates compilable code, explains implementations, reviews diffs, and fixes bugs across 30+ programming languages, with particular strength in TypeScript, Go, and Terraform. A reinforcement learning stage specifically rewards compilable outputs, making it more reliable than general-purpose models on real developer prompts.

The 32k context window supports multi-file refactoring and long diff review in a single API call. A strong choice for code-heavy pipelines where output correctness and structured explanations matter.

Context Window 33K

tokens

Max Output N/A

tokens

Input Cost $0.5

per million tokens

Output Cost $0.8

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 Coder Large?

You can access Coder 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 Coder Large free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Coder 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 Coder Large?

Coder Large costs $0.5 per 1M input tokens and $0.8 per 1M output tokens.

	Price per 1M tokens
Input	$0.5
Output	$0.8

Who created Coder Large?

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

What is the context window of Coder Large?

Coder Large supports a context window of 33K tokens. For reference, that is roughly equivalent to 66 pages of text.

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

Yes — the Coder 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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