Qwen: Qwen3 VL 235B A22B Instruct · Alibaba
Qwen3 VL 235B A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. This Instruct model targets general vision-language use cases including VQA, document parsing, and chart processing.
About Qwen: Qwen3 VL 235B A22B Instruct
Qwen3 VL 235B A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. This Instruct model targets general vision-language use cases including VQA, document parsing, and chart processing.
Where it shines: Advanced visual understanding · Superior text generation · Extended 262K token context.
How to use Qwen: Qwen3 VL 235B A22B Instruct
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Type or upload
Type what you want in the box above — or upload the file if the tool asks for one.
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Generate
Click the main button. Wait 2-30 seconds depending on the model and input size.
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Download or share
Download the result or share the direct link. No watermark, ready to use.
Frequently asked questions
How much does it cost to use Qwen: Qwen3 VL 235B A22B Instruct?
Qwen: Qwen3 VL 235B A22B Instruct is a Pro model: it costs 10 tokens per use (~$0.05 real cost for us). You need a Pro plan ($9/month → 15,000 tokens) or a one-shot pack. If you already have tokens in the free account, you can also spend them directly.
How many uses of Qwen: Qwen3 VL 235B A22B Instruct are included in the Pro plan?
Pro ($9/month) gives you 15,000 recurring tokens. At 10 tokens per Qwen: Qwen3 VL 235B A22B Instruct use, that's ~1,500 full uses per cycle. If you run out, one-shot packs (5,000 / 25,000 / 80,000 tokens) add to the balance without expiring before one year.
What makes Qwen: Qwen3 VL 235B A22B Instruct special?
Alibaba leads Asian open models with efficient MoE architectures and huge context windows (262K+). Its specific strengths are: advanced visual comprehension, superior text generation and context-rich 262k tokens. It accepts images as input (multimodal) as well as text — useful for describing captures, reading graphs or solving problems from a photo.
How fast does Qwen: Qwen3 VL 235B A22B Instruct respond?
Qwen: Qwen3 VL 235B A22B Instruct has a balanced speed: 5-15 seconds per response — neither the fastest nor the slowest in the catalog.The actual time also depends on the length of the prompt and the load of the datacenter — models with huge context take longer when you enter very long texts.
How do I use Qwen: Qwen3 VL 235B A22B Instruct in ia.gratis?
You can use Qwen: Qwen3 VL 235B A22B Instruct from /chat/ by selecting Qwen: Qwen3 VL 235B A22B Instruct in the picker, or via the REST API with `model=qwen3-vl-235b-a22b-instruct` in the POST body. Quick summary: Advanced multimodal model that combines text generation with visual comprehension. The internal model identifier is `qwen3-vl-235b-a22b-instruct` — useful when integrating via API.