Moduck

Alibaba: Qwen3.5 Flash

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

Model lab
Alibaba
Model family
qwen
Modalitiestext, image, video → text
Context window1,000,000
Maximum output65,536
Input · Base context tier (boundary 128000 tokens)USD 0.02256 / 1M tokens
Output · Base context tier (boundary 128000 tokens)USD 0.2256 / 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 alibaba/qwen3.5-flash.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "alibaba/qwen3.5-flash"

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.

Qwen3.5 Flash API Pricing

TypePrice information
Input · Base context tier (boundary 128000 tokens)USD 0.02256 / 1M tokens
Output · Base context tier (boundary 128000 tokens)USD 0.2256 / 1M tokens
Cached input · Base context tier (boundary 128000 tokens)USD 0.002256 / 1M tokens
Cache write · Base context tier (boundary 128000 tokens)USD 0.0282 / 1M tokens

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

Throughput90.8 tok/sCurrent
Time to first token3.2 sCurrent
End-to-end latency7.0 sCurrent
Throughput
Current90.8 tok/s
Window average89.7 tok/s
Time to first token
Current3.2 s
Window average1.5 s
End-to-end latency
Current7.0 s
Window average7.5 s
Tail latency (P99)
Current30.7 s
Window average17.7 s
Prompt cache hit rate
Current31.1%
Window average22.5%
Error rate
Current2.1%
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

Qwen3.5 Flash Compare models

ModelInput priceOutput priceContext windowCapabilities
Qwen3.5 FlashThis pageUSD 0.02256 / 1M tokens · Base context tier (boundary 128000 tokens)USD 0.2256 / 1M tokens · Base context tier (boundary 128000 tokens)1,000,000Text output · Reasoning · Tool calling
Qwen3.8 Flash NextUSD 0.08 / 1M tokensUSD 0.16 / 1M tokens262,144Text output · Reasoning · Tool calling
Qwen3.8 FlashUSD 0.09008 / 1M tokensUSD 0.30402 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Qwen3.8 27BUSD 0.016 / 1M tokens · Quantization fp4USD 0.4 / 1M tokens · Quantization fp4262,144Text output · Reasoning · Tool calling
Qwen3.8 Max PreviewUSD 2 / 1M tokensUSD 6 / 1M tokens1,000,000Text output · Reasoning · Tool calling

Model specifications

Input
text, image, video
Output
text
Context window
1,000,000
Maximum output
65,536
Release date
2026-02-23
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature setting
Yes
Open weights
No

Frequently asked questions

What is Qwen3.5 Flash for?

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

What inputs and outputs does Qwen3.5 Flash support?

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

How is Qwen3.5 Flash priced?

The pricing table shows the current recorded Moduck price. For example: Input · Base context tier (boundary 128000 tokens) USD 0.02256 / 1M tokens; Output · Base context tier (boundary 128000 tokens) USD 0.2256 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Qwen3.5 Flash?

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 alibaba/qwen3.5-flash. 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.