Qwen-Plus
About this model
Qwen-Plus is an AI model from Alibaba Qwen, made available through the API on February 1, 2025. It can read up to 1,000,000 tokens in one request, roughly 1,875 pages of text, and write up to 32,768 tokens in a single answer.
Through the API it costs $0.26 per million input tokens and $0.78 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.
It can call tools and functions, so developers can connect it to search, databases or other software.
Quality scores
Rankings →Not rated yet. Independent test results usually appear a few weeks after a model is released.
Where to use it
Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call Qwen-Plus through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen/qwen-plus", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="qwen/qwen-plus",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "qwen/qwen-plus",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$0.364
- Summarise a 100-page document$0.014
- An app with 10,000 requests a day for a month$172
Similar-priced alternatives
| Model | Inputi | Outputi | Contexti | |
|---|---|---|---|---|
MiniMax M2.5MiniMax | $0.27 | $1.08 | 200K | Compare with ⇄ |
DeepSeek V3.2 ExpDeepSeek | $0.27 | $0.41 | 160K | Compare with ⇄ |
Gemini 3.1 Flash LiteGoogle DeepMind | $0.25 | $1.50 | 1M | Compare with ⇄ |
Trinity Large ThinkingArcee AI | $0.25 | $0.80 | 256K | Compare with ⇄ |
Seed-2.0-LiteByteDance Seed | $0.25 | $2 | 256K | Compare with ⇄ |
Mercury 2Inception | $0.25 | $0.75 | 128K | Compare with ⇄ |
News about Alibaba Qwen
See all →Frequently asked questions
- How much does Qwen-Plus cost?
- Qwen-Plus costs $0.26 per million input tokens and $0.78 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.364.
- What is the context window of Qwen-Plus?
- Qwen-Plus can read up to 1,000,000 tokens in one request, about 1,875 pages of text. It can write up to 32,768 tokens in a single answer.
- Is Qwen-Plus open source?
- No. Qwen-Plus is a closed model: its weights are not published, so you use it through Alibaba Qwen’s own apps and API, or through cloud providers.
- Who makes Qwen-Plus?
- Qwen-Plus is made by Alibaba Qwen. It became available through the API on February 1, 2025.
- Can Qwen-Plus read images?
- No. Qwen-Plus only accepts text as input.
- What are the alternatives to Qwen-Plus?
- Models with a similar price from other companies include MiniMax M2.5, DeepSeek V3.2 Exp and Gemini 3.1 Flash Lite. You can compare them side by side on this page.