Moduck

Alibaba: Qwen3.7 Max

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

Model lab
Alibaba
Model family
qwen
Modalitiestext → text
Context window1,000,000
Maximum output65,536
InputUSD 0.66 / 1M tokens
OutputUSD 1.9804 / 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 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

TypePrice information
InputUSD 0.66 / 1M tokens
OutputUSD 1.9804 / 1M tokens
Cached inputUSD 0.132 / 1M tokens
Cache writeUSD 0.825 / 1M tokens

Benchmarks

Intelligence Index · v4.329.5
Coding Index66
Agentic Index22.5
BenchmarkScoreMeasurementSource
SWE-Bench Verified80.4resolved · Date: 2026-05-19
SWE-Bench Pro60.6resolve rate · Date: 2026-05-19
SWE-Bench Multilingual78.3resolve rate · Date: 2026-05-19
Terminal-Bench69.7success rate · Harness: Terminus-2 · Version: 2.0 · Date: 2026-05-19
GPQA Diamond92.4accuracy · Date: 2026-05-19
Humanity's Last Exam41.4accuracy · Date: 2026-05-19
SciCode53.5Date: 2026-05-19
MCP Atlas76.4success rate · Date: 2026-05-19
NL2Repo47.2Harness: Claude Code · Date: 2026-05-19

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

Output speed204.76 tokens/s
Time to first token2.26 s
Time to first answer token—
End-to-end response time—

Performance trends

Throughput204.76 tok/sCurrent
Time to first token2.26 sCurrent
End-to-end latency7.6 sCurrent
Throughput
Current204.76 tok/s
Window average203.0 tok/s
Time to first token
Current2.26 s
Window average2.4 s
End-to-end latency
Current7.6 s
Window average7.5 s
Tail latency (P99)
Current13.6 s
Window average16.6 s
Prompt cache hit rate
Current18.4%
Window average24.6%
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

Qwen3.7 Max Compare models

ModelInput priceOutput priceContext windowCapabilities
Qwen3.7 MaxThis pageUSD 0.66 / 1M tokensUSD 1.9804 / 1M 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
Qwen3.6 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
Qwen3 MaxUSD 0.288 / 1M tokensUSD 1.144 / 1M tokens262,144Text 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.