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

Visual reasoning with a long chain of thought over images and video: operating GUIs, spatial reasoning and STEM problems. Apache 2.0 weights, on a multi-GPU node.

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

Cost-sensitive volume work: it sits near the top of Alibaba's price range. No audio input, no built-in web search, though a host or your own tool loop can add one, and self-hosting takes a multi-GPU node.

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

Hosted, unless you push serious volume. Alibaba Cloud charges $0.40 in / $4.00 out per 1M tokens. The cheapest rental that fits is 8x RTX 3090 at $979 a month, which costs the same as about 979M tokens a month on that API.

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

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 Thinking

Reasoning variant of Qwen3-VL-235B-A22B with extended chain-of-thought for complex visual and multimodal reasoning.

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List price via Alibaba Cloud

Input: $0.40 /1M tokens
Output: $4.00 /1M tokens

2 providers

Key Specifications

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

Capabilities Show details: Reasoning Thinks before it answers, always on or as a switchable mode. 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
Alibaba Cloud Creator Cheapest	$0.40	$4.00	$12.00	View
Novita	$0.98	$3.95	$17.70	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 Thinking 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 979M 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	979M tokens /mo2B tokens /mo
8-bitFP8 / INT8	243 GB288 GB	8× RTX A6000	$3,168$3,168	3B tokens /mo3B tokens /mo
16-bitFP16 / BF16	478 GB523 GB	8× A100	$10,138$10,138	10B tokens /mo10B 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 Thinking by blended rate, each at its own cheapest provider.

Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Qwen3-VL-235B-A22B Thinking
GLM-5.2 Z.AI	$0.95	$0.70	$2.20	1M		−5%
Nemotron 3 Ultra 550B A55B Nvidia	$0.99	$0.66	$2.64	1M	Sep 2025	−1%
DeepSeek R1 DeepSeek	$1.00	$0.70	$2.50	128K		0%
DeepSeek R1 Turbo DeepSeek	$1.00	$0.70	$2.50	64K		0%
Llama 3 70B Meta	$1.00	$0.65	$2.75	8K	Dec 2023	0%
Qwen3-VL-235B-A22B Thinking This model Alibaba Cloud	$1.00	$0.40	$4.00	262K
Kimi K2.6 Moonshot AI	$1.0333	$0.60	$3.20	262K		+3%
Grok Build 0.1 xAI	$1.1667	$1.00	$2.00	256K		+17%
Command A+ Cohere	$1.20	$0.80	$3.20	128K		+20%
GLM-5.1 Z.AI	$1.2417	$0.83	$3.30	205K		+24%
Gemini 3.6 Flash Google Cloud	$1.25	$0.75	$3.75	1M	Mar 2026	+25%

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 Thinking good for?: Visual reasoning with a long chain of thought over images and video: operating GUIs, spatial reasoning and STEM problems. Apache 2.0 weights, on a multi-GPU node.
When is Qwen3-VL-235B-A22B Thinking not a good fit?: Cost-sensitive volume work: it sits near the top of Alibaba's price range. No audio input, no built-in web search, though a host or your own tool loop can add one, and self-hosting takes a multi-GPU node.
What is the cheapest way to run Qwen3-VL-235B-A22B Thinking?: Hosted, unless you push serious volume. Alibaba Cloud charges $0.40 in / $4.00 out per 1M tokens. The cheapest rental that fits is 8x RTX 3090 at $979 a month, which costs the same as about 979M tokens a month on that API.
Can I self-host Qwen3-VL-235B-A22B Thinking?: 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-Plus	1M	$0.50	$3.00
Qwen3-Max	262K	$0.85	$3.38
Qwen3.5-Plus	1M	$0.40	$2.40
Qwen3-Coder-Plus	1M	$1.00	$5.00
Qwen3.7-Max	1M	$1.25	$3.75
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-30B-A3B Thinking Open weights	262K	$0.20	$2.40