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
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
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
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.
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.