Alibaba: Qwen3.7 Max
Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks
- Model lab
- Alibaba
- Model family
- qwen
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/alibaba-cloud/qwen3-7-max.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/alibaba-cloud/qwen3-7-max"
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.
Qwen3.7 Max API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.66 / 1M tokens |
| Output | USD 1.9804 / 1M tokens |
| Cached input | USD 0.132 / 1M tokens |
| Cache write | USD 0.825 / 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.
Artificial Analysis measurement
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.
Qwen3.7 Max Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Qwen3.7 MaxThis page | USD 0.66 / 1M tokens | USD 1.9804 / 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 |
| Qwen3.6 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 |
| Qwen3 Max | USD 0.288 / 1M tokens | USD 1.144 / 1M tokens | 262,144 | Text output · Tool calling |
Model specifications
- Input
- text
- Output
- text
- Context window
- 1,000,000
- Maximum output
- 65,536
- Release date
- 2026-05-21
- Attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature setting
- Yes
- Open weights
- No
Frequently asked questions
What is Qwen3.7 Max for?
Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks
What inputs and outputs does Qwen3.7 Max support?
Recorded inputs: text; outputs: text.
How is Qwen3.7 Max priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.66 / 1M tokens; Output USD 1.9804 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Qwen3.7 Max?
Current model records list Context window 1,000,000 tokens; Maximum output 65,536 tokens.
What model parameter does the Quickstart use?
The example uses moduck/alibaba-cloud/qwen3-7-max. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.
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.