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

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

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.