Alibaba: Qwen Flash

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

Model lab: Alibaba
Model family: qwen

Modalitiestext → text

Context window1,000,000

Maximum output32,768

InputUSD 0.0176 / 1M tokens

OutputUSD 0.1728 / 1M tokens

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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-flash.

import os
import requests

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

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 Flash API Pricing

Type	Price information
Input	USD 0.0176 / 1M tokens
Output	USD 0.1728 / 1M tokens
Cached input	USD 0.00352 / 1M tokens
Cache write	USD 0.022 / 1M tokens

Performance

Performance trends

Throughput89.6 tok/sCurrent

Time to first token1.4 sCurrent

End-to-end latency7.2 sCurrent

Throughput

Current89.6 tok/s

Window average90.0 tok/s

Time to first token

Current1.4 s

Window average1.4 s

End-to-end latency

Current7.2 s

Window average7.6 s

Tail latency (P99)

Current14.0 s

Window average16.4 s

Prompt cache hit rate

Current18.3%

Window average24.6%

Error rate

Current0.0%

Window average0.1%

Availability

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 Flash Compare models

Model	Input price	Output price	Context window	Capabilities
Qwen FlashThis page	USD 0.0176 / 1M tokens	USD 0.1728 / 1M tokens	1,000,000	Text output · Reasoning · Tool calling
Qwen3.8 2.4T A95B	USD 1.56 / 1M tokens	USD 4.56 / 1M tokens	262,144	Text output · Reasoning · Tool calling
Qwen3.7 Max	USD 0.66 / 1M tokens	USD 1.9804 / 1M tokens	1,000,000	Text output · Reasoning · Tool calling
Qwen3.6 Max Preview	USD 1.72 / 1M tokens	USD 10.288 / 1M tokens	262,144	Text output · Reasoning · Tool calling
Qwen3 Coder Next	USD 0.0864 / 1M tokens	USD 0.54 / 1M tokens	262,144	Text output · Tool calling

Model specifications

Input: text
Output: text
Context window: 1,000,000
Maximum output: 32,768
Release date: 2025-07-28
Attachments: No
Reasoning: Yes
Tool calling: Yes
Temperature setting: Yes
Open weights: No

Frequently asked questions

What is Qwen Flash for?

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

What inputs and outputs does Qwen Flash support?

Recorded inputs: text; outputs: text.

How is Qwen Flash priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.0176 / 1M tokens; Output USD 0.1728 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Qwen Flash?

Current model records list Context window 1,000,000 tokens; Maximum output 32,768 tokens.

What model parameter does the Quickstart use?

The example uses alibaba/qwen-flash. 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.