> ## Documentation Index
> Fetch the complete documentation index at: https://veniceai-feat-models-redesign.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Qwen3 VL 235B API
> Qwen3 VL 235B API on Venice: 125K context, $0.21 input and $1.90 output per 1M tokens. Private, with zero data retention. Supports function calling and vision.
export const HubMount = ({view, children, ...props}) => {
const [hub, setHub] = useState(null);
const [failed, setFailed] = useState(false);
useEffect(() => {
let alive = true;
const w = window;
if (!w.__veniceModelHub) {
const urls = w.location.hostname === 'localhost' ? ['http://localhost:3333/data/model-hub.bundle.json', '/data/model-hub.bundle.json'] : ['/data/model-hub.bundle.json'];
const load = i => fetch(urls[i], {
cache: 'no-cache'
}).then(res => {
if (!res.ok) throw new Error(`bundle ${res.status}`);
return res.json();
}).catch(err => i + 1 < urls.length ? load(i + 1) : Promise.reject(err));
const Frag = <>.type;
const h = (type, props, ...kids) => {
const T = type;
const {key, ...rest} = props || ({});
if (!kids.length) return ;
if (kids.length === 1) return {kids[0]};
return {kids.map((kid, i) => {kid})};
};
w.__veniceModelHub = load(0).then(bundle => new Function(`return (${bundle.code})`)()({
h,
Fragment: Frag,
useState,
useEffect,
useRef,
useMemo,
useCallback
}));
}
w.__veniceModelHub.then(instance => {
if (alive) setHub(instance);
}).catch(() => {
w.__veniceModelHub = null;
if (alive) setFailed(true);
});
return () => {
alive = false;
};
}, []);
const View = hub ? hub[view] : null;
if (View) return {children};
if (failed) {
return
The interactive model catalog could not load. The full data is below.
{children}
;
}
return
{children}
;
};
# Qwen3 VL 235B API
Qwen3 VL 235B is a large language model by Alibaba Qwen, available on the Venice API as `qwen3-vl-235b-a22b`. It runs privately, with zero data retention.
Qwen3-VL 235B vision-language model with MoE architecture. The most powerful VL model in the Qwen series with superior visual perception, OCR, and multimodal reasoning.
## Qwen3 VL 235B API pricing
| Model ID | Variant | Privacy | Price |
| - | - | - | - |
| `qwen3-vl-235b-a22b` | Standard | Private | $0.21 input / $1.90 output per 1M tokens |
## Qwen3 VL 235B specifications
| Spec | Value |
| - | - |
| Provider | Alibaba Qwen |
| Released | Jan 16, 2026 |
| Privacy | Private |
| Open weights | Yes |
| Context window | 125K tokens |
| Max output | 16K tokens |
| Served precision | FP8 |
## How to use the Qwen3 VL 235B API
Send requests to `POST https://api.venice.ai/api/v1/chat/completions` with `"model": "qwen3-vl-235b-a22b"` and your API key.
```bash theme={null}
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-vl-235b-a22b",
"messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }]
}'
```
## Qwen3 VL 235B API FAQ
### How much does the Qwen3 VL 235B API cost?
$0.21 per 1M input tokens and $1.90 per 1M output tokens, with cached input at \$0.10 per 1M. Prices are in USD and can be paid in DIEM at parity.
### What is the Qwen3 VL 235B model ID?
Use `qwen3-vl-235b-a22b` as the `model` parameter.
### Is the Qwen3 VL 235B API private?
Qwen3 VL 235B is private: requests run on infrastructure Venice controls with zero data retention, and prompts and outputs are never stored or used for training.
### What is the context window of Qwen3 VL 235B?
125K tokens of context, with up to 16K output tokens per response.
### What does Qwen3 VL 235B support?
Qwen3 VL 235B supports function calling, structured outputs, image input, web search and prompt caching.
### Which endpoint does the Qwen3 VL 235B API use?
Call `POST /chat/completions`. `/responses` (Alpha) is also supported.
## Related models
* [MiniMax M2.7 API](/models/minimax-m2-7): $0.38 input / $1.50 output per 1M tokens
* [Mercury 2 API](/models/mercury-2): $0.31 input / $0.94 output per 1M tokens
* [GPT-5.6 Luna API](/models/gpt-5-6-luna): $0.25 input / $1.50 output per 1M tokens
* [GPT-5.6 Luna Pro API](/models/gpt-5-6-luna-pro): $0.25 input / $1.50 output per 1M tokens
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