What is Qwen3-VL-30B-A3B Thinking good for?

Multi-step visual reasoning over images and video, the chain-of-thought variant of Qwen3-VL-30B-A3B. Apache 2.0 weights, on a single consumer GPU.

When is Qwen3-VL-30B-A3B Thinking not a good fit?

Audio input, image generation or built-in web search. Short captioning or extraction that does not need reasoning tokens is covered by the Instruct variant.

What is the cheapest way to run Qwen3-VL-30B-A3B Thinking?

Hosted, unless you push serious volume. Alibaba Cloud charges $0.20 in / $2.40 out per 1M tokens. The cheapest rental that fits is 2x RTX 4070 at $144 a month, which costs the same as about 254M tokens a month on that API.

Can I self-host Qwen3-VL-30B-A3B Thinking?

Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 21 GB of GPU memory, which starts at roughly $144 a month on the cheapest rental that fits.

Open weights · Apache 2.0

Qwen3-VL-30B-A3B Thinking

Reasoning variant of Qwen3-VL-30B-A3B with chain-of-thought for complex visual reasoning, on the same compact MoE with 3B active.

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List price via Alibaba Cloud

Input: $0.20 /1M tokens
Output: $2.40 /1M tokens

1 provider

Key Specifications

Context window: 262K tokens
Max output: 66K tokens
Parameters: 31.1B, 3B 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	$0.20	$2.40	$6.80	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-30B-A3B Thinking needs about 21 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 2× RTX 4070 at about $144 a month.

That costs the same as roughly 254M 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	21 GB32 GB	2× RTX 4070	$144$288	254M tokens /mo508M tokens /mo
8-bitFP8 / INT8	36 GB46 GB	4× RTX 3060	$173$317	305M tokens /mo559M tokens /mo
16-bitFP16 / BF16	67 GB90 GB	8× RTX 3060	$346$634	610M tokens /mo1B 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-30B-A3B Thinking by blended rate, each at its own cheapest provider.

Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Qwen3-VL-30B-A3B Thinking
Qwen3.6-Flash Alibaba Cloud	$0.4583	$0.25	$1.50	1M		−19%
Qwen3-VL-235B-A22B Instruct Alibaba Cloud	$0.50	$0.30	$1.50	262K		−12%
DeepSeek V4 Pro DeepSeek	$0.5233	$0.45	$0.89	1M		−8%
GPT-5 Mini OpenAI	$0.5417	$0.25	$2.00	400K	May 2024	−4%
DeepSeek V3 Turbo DeepSeek	$0.55	$0.40	$1.30	64K		−3%
Qwen3-VL-30B-A3B Thinking This model Alibaba Cloud	$0.5667	$0.20	$2.40	262K
Qwen3-235B-A22B Thinking (2507) Alibaba Cloud	$0.575	$0.23	$2.30	262K		+1%
Qwen3-Coder-480B-A35B Alibaba Cloud	$0.575	$0.38	$1.55	262K		+1%
GPT-4.1 Mini OpenAI	$0.60	$0.40	$1.60	1M	Jun 2024	+6%
Gemini 2.5 Flash Google Cloud	$0.6667	$0.30	$2.50	1M	Jan 2025	+18%
Gemini 3.5 Flash-Lite Google Cloud	$0.6667	$0.30	$2.50	1M	Mar 2026	+18%

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-30B-A3B Thinking good for?: Multi-step visual reasoning over images and video, the chain-of-thought variant of Qwen3-VL-30B-A3B. Apache 2.0 weights, on a single consumer GPU.
When is Qwen3-VL-30B-A3B Thinking not a good fit?: Audio input, image generation or built-in web search. Short captioning or extraction that does not need reasoning tokens is covered by the Instruct variant.
What is the cheapest way to run Qwen3-VL-30B-A3B Thinking?: Hosted, unless you push serious volume. Alibaba Cloud charges $0.20 in / $2.40 out per 1M tokens. The cheapest rental that fits is 2x RTX 4070 at $144 a month, which costs the same as about 254M tokens a month on that API.
Can I self-host Qwen3-VL-30B-A3B Thinking?: Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 21 GB of GPU memory, which starts at roughly $144 a month on the cheapest rental that fits.

More from Alibaba Cloud

Model	Context	Input /1M	Output /1M
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-235B-A22B Instruct Open weights	262K	$0.30	$1.50
Qwen3.6-Flash	1M	$0.25	$1.50
Qwen3.5-Plus	1M	$0.40	$2.40
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