Qwen: Qwen2.5 7B Instruct
qwen/qwen2-5-7b-instruct
Access Qwen2.5 7B 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/qwen2-5-7b-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/qwen2-5-7b-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/qwen2-5-7b-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/qwen2-5-7b-instruct",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Qwen 2.5 7B Instruct is a compact yet capable language model offering strong performance in coding, math, and general tasks. It supports 128K context length and 29+ languages while being efficient enough for smaller deployments.
Context Window 131K
tokens
Max Output 8K
tokens
Input Cost $0.18
per million tokens
Output Cost $0.7
per million tokens
Input text
modalities
Tool Use Yes
Knowledge Cutoff Apr 2024
Release Date Sep 2024
Model Playground
Try Qwen2.5 7B Instruct instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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Frequently Asked Questions
You can access Qwen2.5 7B 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Qwen2.5 7B 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.
| Price per 1M tokens | |
|---|---|
| Input | $0.18 |
| Output | $0.7 |
Qwen2.5 7B Instruct was created by Qwen and released on Sep 2024.
Qwen2.5 7B Instruct supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Qwen2.5 7B Instruct can generate up to 8K tokens in a single response.
Qwen2.5 7B Instruct has a knowledge cutoff date of Apr 2024. This means the model was trained on data available up to that date.
Qwen2.5 7B Instruct accepts the following input types: text. It produces: text.
Yes, Qwen2.5 7B Instruct supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Qwen2.5 7B 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 7B Instruct to your app without worrying about API keys or setup.
Read the Docs View Tutorials