Alibaba: QwQ 32B

Open reasoning model from the Qwen team for math, coding, and step-by-step problem solving

Model lab: Alibaba
Model family: qwen

Model resources

Hugging Face

Modalitiestext → text

Context window131,072

Maximum output8,192

Input · Context ≤ 24000 tokens · Maximum output 24000 tokensUSD 0.528 / 1M tokens

Output · Context ≤ 24000 tokens · Maximum output 24000 tokensUSD 0.8 / 1M tokens

Try now

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to alibaba/qwq-32b.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "alibaba/qwq-32b"

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.

QwQ 32B API Pricing

Type	Price information
Input · Context ≤ 24000 tokens · Maximum output 24000 tokens	USD 0.528 / 1M tokens
Output · Context ≤ 24000 tokens · Maximum output 24000 tokens	USD 0.8 / 1M tokens

Benchmarks

Intelligence Index · v4.39.5

Coding Index—

Agentic Index—

Performance

Performance trends

Throughput92.5 tok/sCurrent

Time to first token1.5 sCurrent

End-to-end latency7.9 sCurrent

Throughput

Current92.5 tok/s

Window average89.6 tok/s

Time to first token

Current1.5 s

Window average1.4 s

End-to-end latency

Current7.9 s

Window average7.4 s

Tail latency (P99)

Current16.5 s

Window average17.0 s

Prompt cache hit rate

Current26.2%

Window average24.0%

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

QwQ 32B Compare models

Model	Input price	Output price	Context window	Capabilities
QwQ 32BThis page	USD 0.528 / 1M tokens · Context ≤ 24000 tokens · Maximum output 24000 tokens	USD 0.8 / 1M tokens · Context ≤ 24000 tokens · Maximum output 24000 tokens	131,072	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: 131,072
Maximum output: 8,192
Release date: 2025-03-05
Attachments: No
Reasoning: Yes
Tool calling: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is QwQ 32B for?

Open reasoning model from the Qwen team for math, coding, and step-by-step problem solving

What inputs and outputs does QwQ 32B support?

Recorded inputs: text; outputs: text.

How is QwQ 32B priced?

The pricing table shows the current recorded Moduck price. For example: Input · Context ≤ 24000 tokens · Maximum output 24000 tokens USD 0.528 / 1M tokens; Output · Context ≤ 24000 tokens · Maximum output 24000 tokens USD 0.8 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for QwQ 32B?

Current model records list Context window 131,072 tokens; Maximum output 8,192 tokens.

What model parameter does the Quickstart use?

The example uses alibaba/qwq-32b. 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.