Moduck

Alibaba: Qwen3 VL 235B A22B Instruct

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

Model lab
Alibaba
Model family
qwen

Model resources

Modalitiestext, image → text
Context window131,072
Maximum output32,768
InputUSD 0.16 / 1M tokens
OutputUSD 0.704 / 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-vl-235b-a22b-instruct.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "alibaba/qwen3-vl-235b-a22b-instruct"

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 VL 235B A22B Instruct API Pricing

TypePrice information
InputUSD 0.16 / 1M tokens
OutputUSD 0.704 / 1M tokens
Cached inputUSD 0.088 / 1M tokens

Benchmarks

Intelligence Index · v4.39.9
Coding Index—
Agentic Index—

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 speed32.6 tokens/s
Time to first token1.22 s
Time to first answer token—
End-to-end response time—

Performance trends

Throughput32.6 tok/sCurrent
Time to first token1.22 sCurrent
End-to-end latency6.9 sCurrent
Throughput
Current32.6 tok/s
Window average32.6 tok/s
Time to first token
Current1.22 s
Window average1.3 s
End-to-end latency
Current6.9 s
Window average7.5 s
Tail latency (P99)
Current13.1 s
Window average16.3 s
Prompt cache hit rate
Current18.0%
Window average24.7%
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 VL 235B A22B Instruct Compare models

ModelInput priceOutput priceContext windowCapabilities
Qwen3 VL 235B A22B InstructThis pageUSD 0.16 / 1M tokensUSD 0.704 / 1M tokens131,072Text output · Tool calling
Qwen3 VL 235B A22B ThinkingUSD 0.2296 / 1M tokensUSD 2.2936 / 1M tokens131,072Text output · Reasoning · Tool calling
Qwen3-VL PlusUSD 0.1096 / 1M tokens · Base context tier (boundary 32000 tokens)USD 1.096 / 1M tokens · Base context tier (boundary 32000 tokens)262,144Text output · Reasoning · Tool calling
Qwen2.5-VL 72B InstructUSD 1.8352 / 1M tokensUSD 5.5048 / 1M tokens131,072Text output · Tool calling
Qwen-VL MaxUSD 0.184 / 1M tokensUSD 0.464 / 1M tokens131,072Text output · Tool calling

Model specifications

Input
text, image
Output
text
Context window
131,072
Maximum output
32,768
Release date
2025-09-23
Attachments
Yes
Reasoning
No
Tool calling
Yes
Structured output
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Qwen3 VL 235B A22B Instruct for?

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

What inputs and outputs does Qwen3 VL 235B A22B Instruct support?

Recorded inputs: text, images; outputs: text.

How is Qwen3 VL 235B A22B Instruct priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.16 / 1M tokens; Output USD 0.704 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Qwen3 VL 235B A22B Instruct?

Current model records list Context window 131,072 tokens; Maximum output 32,768 tokens.

What model parameter does the Quickstart use?

The example uses alibaba/qwen3-vl-235b-a22b-instruct. 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.