Qwen: Qwen2.5 Coder 32B Instruct

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Qwen2.5 Coder 32B Instruct is the largest model in Alibaba's Qwen2.5-Coder family, a code-specialized model released in November 2024 and trained for code generation, code repair, and code reasoning.

On code generation it scores 92.7 on HumanEval and 86.3 on EvalPlus, and the Qwen team reports overall coding performance competitive with GPT-4o. On Aider's code repair benchmark it scores 73.7, comparable to GPT-4o, and it scores 75.2 on MdEval, a multi-language code repair benchmark, first among open models at release. It covers more than 40 programming languages, scoring 65.9 on McEval, with notably strong results in less common languages like Haskell and Racket.

This route offers a 32K context window at low per-token cost. It fits developers who want code completion, bug fixing, and code explanation without paying frontier-model prices.

Context Window 33K

tokens

Max Output 120K

tokens

Input Cost $0.03

per million tokens

Output Cost $0.11

per million tokens

Release Date Nov 11, 2024

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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Qwen3.5 Plus is a proprietary hosted model from Alibaba, built on the Qwen3.5-397B-A17B Mixture-of-Experts architecture with 397 billion total parameters and 17 billion active per token. Its headline feature is a 1-million-token native context window — among the largest available via API — making it well suited for processing entire codebases, long documents, or extended multi-turn conversations in a single request. It supports both a deep-thinking mode and an "Auto" mode that adaptively invokes tools like web search and code interpreters. This April 20, 2026 snapshot reflects ongoing improvements to the model since its original February 2026 launch. The Qwen3.5 series demonstrated strong multimodal performance across reasoning, coding, and vision tasks. A solid general-purpose option for developers needing large-context capabilities without migrating to the newer Qwen3.6 line.

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Qwen3.6 27B

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Frequently Asked Questions

How do I use Qwen2.5 Coder 32B Instruct?

Qwen2.5 Coder 32B Instruct is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Qwen2.5 Coder 32B Instruct?

Qwen2.5 Coder 32B Instruct costs $0.03 per 1M input tokens and $0.11 per 1M output tokens.

	Price per 1M tokens
Input	$0.03
Output	$0.11

Who created Qwen2.5 Coder 32B Instruct?

Qwen2.5 Coder 32B Instruct was created by Qwen and released on Nov 11, 2024.

What is the context window of Qwen2.5 Coder 32B Instruct?

Qwen2.5 Coder 32B Instruct supports a context window of 33K tokens. For reference, that is roughly equivalent to 66 pages of text.

What is the max output length of Qwen2.5 Coder 32B Instruct?

Qwen2.5 Coder 32B Instruct can generate up to 120K tokens in a single response.

How does Qwen2.5 Coder 32B Instruct perform on benchmarks?

Qwen2.5 Coder 32B Instruct scores 6.7 on the Artificial Analysis Intelligence Index, outperforming 21% of tracked models.

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

Yes — the Qwen2.5 Coder 32B Instruct 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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