Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
Modalities
Input Price
35% off
$0.26per 1M
Output Price
35% off
$0.78per 1M
Context
1M
Weekly Tokens
2.36B
Released
Feb 1, 2025
Sample code and API for Qwen-Plus
OpenRouter normalizes requests and responses across providers for you.
1
Get your API key
Create an API key from your OpenRouter dashboard and set it as an environment variable:
2
Make your first request
Use qwen/qwen-plus with the OpenRouter API:
OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.
In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.
Using third-party SDKs
For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.
3
Enable streaming
Add "stream": true to your request body to receive responses as server-sent events:
Endpoint
POSThttps://openrouter.ai/api/v1/chat/completions
AuthorizationBearer $OPENROUTER_API_KEY
Content-Typeapplication/json
HTTP-Refereroptional — your site URL, for rankings
X-Titleoptional — your site name, for rankings
Modelqwen/qwen-plus
Parameters
Name
Type
Default
Description
max_tokens
integer
—
This sets the upper limit for the number of tokens the model can generate in response.
temperature
float
1
This setting influences the variety in the model's responses.
top_p
float
1
This setting limits the model's choices to a percentage of likely tokens: only the top tokens whose probabilities add up to P.
seed
integer
—
If specified, the inferencing will sample deterministically, such that repeated requests with the same seed and parameters should return the same result.
presence_penalty
float
0
Adjusts how often the model repeats specific tokens already used in the input.
response_format
map
—
Forces the model to produce specific output format.
tools
array
—
Tool calling parameter, following OpenAI's tool calling request shape.
tool_choice
string or object
—
Controls which (if any) tool is called by the model.