NOUMENOpen app

Qwen · Efficient

Qwen Turbo

Added Apr 15, 2024

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

Alibaba's fastest and cheapest model. Suitable for simple tasks, fast and low cost, with a 1 million token context window.

Input
Text
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.05
Output
$0.20

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
8.2K

Side by side

Qwen Turbo compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Qwen TurboQwenThis modelQwen 3.8 27B KimikoQwenRemove
ProviderQwenQwen
Discovery tierEfficientOpen weights
AddedApr 15, 2024Oct 5, 2026
Limits
Context window1MBest262.14K
Max output8.19K32.77KBest
Average output—210 tokens
Pricing, USD per 1M tokens
Input$0.05Best$0.10
Output$0.20Best$0.60
Cache read—$0.05
Performance
Request success (24h)—100.0%
Capabilities
ReasoningNoYes
ToolsNoYes
VisionNoYes
Reasoning effort——

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen-turbo",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="qwen/qwen-turbo",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.