Moduck

Alibaba: Qwen3.6 27B

Qwen vision-language model for visual reasoning, documents, and agent tasks

Model lab
Alibaba
Model family
qwen

Model resources

Modalitiestext, image, video, audio → text
Context window262,144
Maximum output65,536
InputUSD 0.16 / 1M tokens
OutputUSD 1.2 / 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/qwen3-6-27b.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/alibaba-cloud/qwen3-6-27b"

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.

Qwen3.6 27B API Pricing

TypePrice information
InputUSD 0.16 / 1M tokens
OutputUSD 1.2 / 1M tokens
Cached inputUSD 0.032 / 1M tokens

Benchmarks

Non-reasoning

Intelligence Index · v4.319.8
Coding Index46.6
Agentic Index—

Reasoning

Intelligence Index · v4.321.4
Coding Index53.7
Agentic Index18.5
BenchmarkScoreMeasurementSource
SWE-Bench Verified77.2resolved

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 · Non-reasoning

Output speed54.81 tokens/s
Time to first token3.61 s
Time to first answer token—
End-to-end response time—
Measurement variantOutput speedTime to first tokenTime to first answer tokenEnd-to-end response time
Non-reasoning54.81 tokens/s3.61 s——
Reasoning55.24 tokens/s3.76 s——

Performance trends

Throughput54.81 tok/sCurrent
Time to first token3.61 sCurrent
End-to-end latency7.9 sCurrent
Throughput
Current54.81 tok/s
Window average53.9 tok/s
Time to first token
Current3.61 s
Window average3.8 s
End-to-end latency
Current7.9 s
Window average7.5 s
Tail latency (P99)
Current15.9 s
Window average16.6 s
Prompt cache hit rate
Current18.4%
Window average24.5%
Error rate
Current0.0%
Window average0.2%

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

Qwen3.6 27B Compare models

ModelInput priceOutput priceContext windowCapabilities
Qwen3.6 27BThis pageUSD 0.16 / 1M tokensUSD 1.2 / 1M tokens262,144Text output · Reasoning · Tool calling
Qwen3.8 Omni FlashUSD 0.09008 / 1M tokensUSD 0.30402 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Qwen3.6 35B-A3BUSD 0.112 / 1M tokensUSD 0.8 / 1M tokens262,144Text output · Reasoning · Tool calling
Qwen3.5 27BUSD 0.06768 / 1M tokens · Base context tier (boundary 128000 tokens)USD 0.54144 / 1M tokens · Base context tier (boundary 128000 tokens)262,144Text output · Reasoning · Tool calling
Qwen3.5 35B-A3BUSD 0.04512 / 1M tokens · Base context tier (boundary 128000 tokens)USD 0.36096 / 1M tokens · Base context tier (boundary 128000 tokens)262,144Text output · Reasoning · Tool calling

Model specifications

Input
text, image, video, audio
Output
text
Context window
262,144
Maximum output
65,536
Release date
2026-04-22
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Qwen3.6 27B for?

Qwen vision-language model for visual reasoning, documents, and agent tasks

What inputs and outputs does Qwen3.6 27B support?

Recorded inputs: text, images, video, audio; outputs: text.

How is Qwen3.6 27B priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.16 / 1M tokens; Output USD 1.2 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Qwen3.6 27B?

Current model records list Context window 262,144 tokens; Maximum output 65,536 tokens.

What model parameter does the Quickstart use?

The example uses moduck/alibaba-cloud/qwen3-6-27b. 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.