Moduck

Alibaba: Qwen Turbo

Efficient Qwen model for fast chat, extraction, and high-volume workloads

Model lab
Alibaba
Model family
qwen
Modalitiestext → text
Context window1,000,000
Maximum output16,384
Input · Context ≤ 128000 tokens · Maximum output 16000 tokensUSD 0.0344 / 1M tokens
Output · Context ≤ 128000 tokens · Maximum output 16000 tokensUSD 0.072 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to alibaba/qwen-turbo.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "alibaba/qwen-turbo"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Qwen Turbo API Pricing

TypePrice information
Input · Context ≤ 128000 tokens · Maximum output 16000 tokensUSD 0.0344 / 1M tokens
Output · Context ≤ 128000 tokens · Maximum output 16000 tokensUSD 0.072 / 1M tokens
Cached input · Context ≤ 128000 tokens · Maximum output 16000 tokensUSD 0.00688 / 1M tokens

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput92.1 tok/sCurrent
Time to first token1.3 sCurrent
End-to-end latency7.9 sCurrent
Throughput
Current92.1 tok/s
Window average90.1 tok/s
Time to first token
Current1.3 s
Window average1.4 s
End-to-end latency
Current7.9 s
Window average7.5 s
Tail latency (P99)
Current16.4 s
Window average17.3 s
Prompt cache hit rate
Current31.5%
Window average22.5%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Qwen Turbo Compare models

ModelInput priceOutput priceContext windowCapabilities
Qwen TurboThis pageUSD 0.0344 / 1M tokens · Context ≤ 128000 tokens · Maximum output 16000 tokensUSD 0.072 / 1M tokens · Context ≤ 128000 tokens · Maximum output 16000 tokens1,000,000Text output · Reasoning · Tool calling
Qwen3.8 2.4T A95BUSD 1.56 / 1M tokensUSD 4.56 / 1M tokens262,144Text output · Reasoning · Tool calling
Qwen3.7 MaxUSD 0.66 / 1M tokensUSD 1.9804 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Qwen3.6 Max PreviewUSD 1.72 / 1M tokensUSD 10.288 / 1M tokens262,144Text output · Reasoning · Tool calling
Qwen3 Coder NextUSD 0.0864 / 1M tokensUSD 0.54 / 1M tokens262,144Text output · Tool calling

Model specifications

Input
text
Output
text
Context window
1,000,000
Maximum output
16,384
Release date
2024-11-01
Attachments
No
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
No

Frequently asked questions

What is Qwen Turbo for?

Efficient Qwen model for fast chat, extraction, and high-volume workloads

What inputs and outputs does Qwen Turbo support?

Recorded inputs: text; outputs: text.

How is Qwen Turbo priced?

The pricing table shows the current recorded Moduck price. For example: Input · Context ≤ 128000 tokens · Maximum output 16000 tokens USD 0.0344 / 1M tokens; Output · Context ≤ 128000 tokens · Maximum output 16000 tokens USD 0.072 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Qwen Turbo?

Current model records list Context window 1,000,000 tokens; Maximum output 16,384 tokens.

What model parameter does the Quickstart use?

The example uses alibaba/qwen-turbo. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.