What is Qwen3-VL-235B-A22B Instruct good for?

Hours-long video, multi-image understanding, operating GUIs and reading code from screenshots. Apache 2.0 weights, on a multi-GPU node.

When is Qwen3-VL-235B-A22B Instruct not a good fit?

Audio input, and tasks that need a reasoning trace, which the Thinking sibling covers. Memory follows the full 235B parameters, not the 22B active, so self-hosting takes a multi-GPU node.

What is the cheapest way to run Qwen3-VL-235B-A22B Instruct?

Hosted, unless you push serious volume. Alibaba Cloud charges $0.40 in / $1.60 out per 1M tokens. The cheapest rental that fits is 8x RTX 3090 at $979 a month, which costs the same as about 2B tokens a month on that API.

Can I self-host Qwen3-VL-235B-A22B Instruct?

Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 137 GB of GPU memory, which starts at roughly $979 a month on the cheapest rental that fits.

Open weights · Apache 2.0

Qwen3-VL-235B-A22B Instruct

Flagship Qwen3-VL vision-language model, a 235B MoE with 22B active, built for long video understanding.

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List price via Alibaba Cloud

Input: $0.40 /1M tokens
Output: $1.60 /1M tokens

Cheapest: $0.30 / $1.50 per 1M tokens via Novita

2 providers

Key Specifications

Context window: 262K tokens
Max output: 66K tokens
Parameters: 235B, 22B active
Inputs: Text, image, video

Capabilities Show details: Function calling Connect to external tools, APIs, and systems. Structured output Return responses in structured formats like JSON.

Hosted API pricing

Input tokens M Output tokens M

Provider	Input /1M tokens	Output /1M tokens	Cost at 10M in + 2M out
Novita Cheapest	$0.30	$1.50	$6.00	View
Alibaba Cloud Creator	$0.40	$1.60	$7.20	View

Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.

Estimated cost to self-host

Qwen3-VL-235B-A22B Instruct needs about 137 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX 3090 at about $979 a month.

That costs the same as roughly 2B tokens a month on Alibaba Cloud's API. Self-hosting is more expensive below that volume.

Single node ≤ 8

Precision	Memory	Cheapest fit (32K context)(Full 262K context)	Cost /mo	Break-even vs API
4-bitINT4 / FP4	137 GB157 GB	8× RTX 3090	$979$2,419	2B tokens /mo4B tokens /mo
8-bitFP8 / INT8	243 GB288 GB	8× RTX A6000	$3,168$3,168	5B tokens /mo5B tokens /mo
16-bitFP16 / BF16	478 GB523 GB	8× A100	$10,138$10,138	17B tokens /mo17B tokens /mo

Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.

Similarly priced models

The models nearest Qwen3-VL-235B-A22B Instruct by blended rate, each at its own cheapest provider.

Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Qwen3-VL-235B-A22B Instruct
Qwen3-VL-Plus Alibaba Cloud	$0.4333	$0.20	$1.60	262K		−13%
DeepSeek V4.1 Flash DeepSeek	$0.45	$0.30	$1.20	1M		−10%
MiniMax-M2.5 MiniMax	$0.45	$0.30	$1.20	205K		−10%
Gemini 3.1 Flash-Lite Google Cloud	$0.4583	$0.25	$1.50	1M	Jan 2025	−8%
Qwen3.6-Flash Alibaba Cloud	$0.4583	$0.25	$1.50	1M		−8%
Qwen3-VL-235B-A22B Instruct This model Alibaba Cloud	$0.50	$0.30	$1.50	262K
DeepSeek V4 Pro DeepSeek	$0.5233	$0.45	$0.89	1M		+5%
GPT-5 Mini OpenAI	$0.5417	$0.25	$2.00	400K	May 2024	+8%
DeepSeek V3 Turbo DeepSeek	$0.55	$0.40	$1.30	64K		+10%
Qwen3-VL-30B-A3B Thinking Alibaba Cloud	$0.5667	$0.20	$2.40	262K		+13%
Qwen3-235B-A22B Thinking (2507) Alibaba Cloud	$0.575	$0.23	$2.30	262K		+15%

Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.

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Frequently Asked Questions

What is Qwen3-VL-235B-A22B Instruct good for?: Hours-long video, multi-image understanding, operating GUIs and reading code from screenshots. Apache 2.0 weights, on a multi-GPU node.
When is Qwen3-VL-235B-A22B Instruct not a good fit?: Audio input, and tasks that need a reasoning trace, which the Thinking sibling covers. Memory follows the full 235B parameters, not the 22B active, so self-hosting takes a multi-GPU node.
What is the cheapest way to run Qwen3-VL-235B-A22B Instruct?: Hosted, unless you push serious volume. Alibaba Cloud charges $0.40 in / $1.60 out per 1M tokens. The cheapest rental that fits is 8x RTX 3090 at $979 a month, which costs the same as about 2B tokens a month on that API.
Can I self-host Qwen3-VL-235B-A22B Instruct?: Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 137 GB of GPU memory, which starts at roughly $979 a month on the cheapest rental that fits.

More from Alibaba Cloud

Model	Context	Input /1M	Output /1M
Qwen3.6-Flash	1M	$0.25	$1.50
Qwen3-VL-30B-A3B Thinking Open weights	262K	$0.20	$2.40
Qwen3-235B-A22B Thinking (2507) Open weights	262K	$0.23	$2.30
Qwen3-Coder-480B-A35B Open weights	262K	$0.38	$1.55
Qwen3-VL-Plus	262K	$0.20	$1.60
Qwen3.7-Plus	1M	$0.28	$1.10
Qwen2.5-72B Instruct Open weights	33K	$0.38	$0.40
Qwen3.6-27B Open weights	262K	$0.30	$0.60