Qwen-Turbo is a 1M context model based on Qwen2.5, designed for fast speed and low cost. It is suitable for simple tasks and applications where efficiency and affordability are prioritized over deep reasoning.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Input Tokens (1M)
$0.02
Output Tokens (1M)
$0.10
Capabilities
Input Modalities
Text
Output Modalities
Text
Supported Parameters
Available parameters for API requests
Max Completion Tokens
Presence Penalty
Response Format
Temperature
Tool Choice
Tools
Top P
Usage Analytics
Token usage across the last 30 active days
Uptime
Reliability over the last 7 days
Throughput
Time-To-First-Token (TTFT)
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(
base_url="https://api.naga.ac/v1",
api_key="YOUR_API_KEY",
)
resp = client.chat.completions.create(
model="qwen-turbo",
messages=[
{{"role": "user", "content": "What's 2+2?"}}
],
temperature=0.2,
)
print(resp.choices[0].message.content)