Ship a Full-Stack App with One Prompt

Copy this prompt into your AI coding agent, or open it in one below.

Give this to your AI Create a to-do list app using Puter.js

Coding manually? see the guide

Qwen

Qwen: Qwen2.5 Coder 32B Instruct

qwen/qwen-2.5-coder-32b-instruct

Access Qwen2.5 Coder 32B Instruct from Qwen using Puter.js AI API.

Get Started
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "qwen/qwen-2.5-coder-32b-instruct"
}).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: "qwen/qwen-2.5-coder-32b-instruct"
        }).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="qwen/qwen-2.5-coder-32b-instruct",
    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": "qwen/qwen-2.5-coder-32b-instruct",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Qwen 2.5 Coder 32B Instruct is a code-specialized model matching GPT-4o's coding capabilities, supporting 40+ programming languages. It excels in code generation, repair, and reasoning with 128K context support.

Context Window 33K

tokens

Max Output 29K

tokens

Input Cost $0.66

per million tokens

Output Cost $1

per million tokens

Release Date Nov 11, 2024

 

Model Playground

Try Qwen2.5 Coder 32B Instruct instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat qwen/qwen-2.5-coder-32b-instruct
Qwen
Chat with Qwen2.5 Coder 32B Instruct
Powered by Puter.js

Benchmarks

How Qwen2.5 Coder 32B Instruct performs on standard evaluations.

Artificial Analysis
Intelligence Index
1.6
Better than 21% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
41.7%
Humanity's Last Exam Cross-domain reasoning
3.5%
LiveCodeBench Recent coding problems
29.5%
MATH-500 Competition math
76.7%
AIME 2024 Advanced math exam
12.0%

Scores sourced from Artificial Analysis.

Find other Qwen models

Chat

Qwen3.6 Flash

Qwen3.6 Flash is the speed-optimized tier of Alibaba's Qwen3.6 model family, designed for high-throughput, low-latency inference pipelines. It sits alongside Qwen3.6 Max Preview, Plus, and 35B-A3B in the product lineup, targeting use cases where fast response times matter more than peak benchmark scores. Like other Qwen3.6 models, it builds on a hybrid architecture combining linear attention with sparse mixture-of-experts routing. It is best suited for high-volume production workloads such as classification, extraction, summarization, and lightweight agent tasks where latency and cost efficiency are the primary constraints.

Chat

Qwen3.5 Plus 2026-04-20

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.

Chat

Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter multimodal model from Alibaba's Qwen team, purpose-built for agentic coding and repository-level reasoning. It scores 77.2% on SWE-bench Verified and 59.3% on Terminal-Bench 2.0, outperforming the previous-generation Qwen3.5-397B-A17B across all major coding benchmarks despite being far smaller. It natively supports text, image, and video inputs with a 262K-token context window, extendable to 1M tokens. A standout feature is Thinking Preservation, which retains reasoning traces across conversation turns — reducing redundant computation in multi-step agent loops. The model uses a hybrid attention architecture combining Gated DeltaNet with traditional self-attention. Ideal for developers building coding agents, multi-turn tool-use workflows, or frontend generation pipelines.

Frequently Asked Questions

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

You can access Qwen2.5 Coder 32B Instruct by Qwen 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 Qwen2.5 Coder 32B Instruct free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Qwen2.5 Coder 32B Instruct 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 Qwen2.5 Coder 32B Instruct?
Qwen2.5 Coder 32B Instruct costs $0.66 per 1M input tokens and $1 per 1M output tokens.
Price per 1M tokens
Input$0.66
Output$1
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 29K tokens in a single response.

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

Qwen2.5 Coder 32B Instruct scores 1.6 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.

Get started with Puter.js

Add Qwen2.5 Coder 32B Instruct to your app without worrying about API keys or setup.

Read the Docs View Tutorials