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.
- Params
- 31.1B, 3B active
- Context
- 262K tokens
- Max output
- 66K
- License
- Apache 2.0
Hosted API price
List price via Alibaba Cloud · per 1M tokens
- Input
- $0.20 /1M
- Output
- $2.40 /1M
- Hosted by
-
1 provider
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving Qwen3-VL-30B-A3B Thinking, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|
|
|
$0.20 | $2.40 | $6.80 | Visit website |
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 4060 Ti at about $187 a month.
That costs the same as roughly 330M tokens a month on Alibaba Cloud's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 21 GB |
|
$187 | 330M tokens /mo |
| 8-bit FP8 / INT8 | 36 GB |
|
$230 | 407M tokens /mo |
| 16-bit FP16 / BF16 | 67 GB |
|
$461 | 813M 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. Pricing methodology.
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 |
|---|---|---|---|---|---|---|
|
|
$0.50 | $0.30 | $1.50 | 262K | −12% | |
|
|
$0.5075 | $0.435 | $0.87 | 1M | −10% | |
|
|
$0.5233 | $0.45 | $0.89 | 1M | −8% | |
|
|
$0.5417 | $0.25 | $2.00 | 400K | May 2024 | −4% |
|
|
$0.55 | $0.40 | $1.30 | 64K | −3% | |
|
|
$0.5667 | $0.20 | $2.40 | 262K | ||
|
|
$0.575 | $0.23 | $2.30 | 262K | +1% | |
|
|
$0.575 | $0.38 | $1.55 | 262K | +1% | |
|
|
$0.60 | $0.40 | $1.60 | 1M | Jun 2024 | +6% |
|
|
$0.6667 | $0.30 | $2.50 | 1M | Jan 2025 | +18% |
|
|
$0.6667 | $0.30 | $2.50 | 1M | Mar 2026 | +18% |
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.
Capabilities
What Qwen3-VL-30B-A3B Thinking accepts and can do, as published by Alibaba Cloud.
- Text Accepts and generates natural-language text.
- Image Accepts images as input alongside text.
- Video Accepts video as input.
- 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.
Common 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 4060 Ti at $187 a month, which costs the same as about 330M 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 $187 a month on the cheapest rental that fits.
More from Alibaba Cloud
-
Qwen3-235B-A22B Thinking (2507)
Open weights
262K context
From $0.23 / $2.30 /1M in / out at the cheapest provider -
Qwen3-Coder-480B-A35B
Open weights
262K context
From $0.38 / $1.55 /1M in / out at the cheapest provider -
Qwen3-VL-235B-A22B Instruct
Open weights
262K context
From $0.30 / $1.50 /1M in / out at the cheapest provider -
Qwen3.6-Flash
1M context
From $0.25 / $1.50 /1M in / out at the cheapest provider -
Qwen3.5-Plus
1M context
From $0.40 / $2.40 /1M in / out at the cheapest provider -
Qwen3-VL-Plus
262K context
From $0.20 / $1.60 /1M in / out at the cheapest provider -
Qwen3.7-Plus
1M context
From $0.276 / $1.101 /1M in / out at the cheapest provider -
Qwen2.5-72B Instruct
Open weights
33K context
From $0.38 / $0.40 /1M in / out at the cheapest provider