Qwen3-VL-30B-A3B Instruct
An efficient 30B MoE vision-language model with 3B active, offering strong multimodal capability at low inference cost.
- 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
- $0.80 /1M
- Cheapest
- $0.20 / $0.70 via Novita
- Hosted by
-
2 providers
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 Instruct, 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 | $0.70 | $3.40 | Visit website |
|
|
$0.20 | $0.80 | $3.60 | 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 Instruct 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 624M 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 | 624M tokens /mo |
| 8-bit FP8 / INT8 | 36 GB |
|
$230 | 768M tokens /mo |
| 16-bit FP16 / BF16 | 67 GB |
|
$461 | 2B 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 Instruct by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Qwen3-VL-30B-A3B Instruct |
|---|---|---|---|---|---|---|
|
|
$0.225 | $0.17 | $0.50 | 262K | −21% | |
|
|
$0.2283 | $0.078 | $0.98 | 262K | −19% | |
|
|
$0.24 | $0.16 | $0.64 | 10M | Aug 2024 | −15% |
|
|
$0.2487 | $0.115 | $0.917 | 262K | −12% | |
|
|
$0.2827 | $0.20 | $0.696 | 1M | Aug 2024 | 0% |
|
|
$0.2833 | $0.20 | $0.70 | 262K | ||
|
|
$0.30 | $0.20 | $0.80 | 131K | Jan 2026 | +6% |
|
|
$0.30 | $0.30 | $0.30 | 33K | +6% | |
|
|
$0.30 | $0.20 | $0.80 | 33K | +6% | |
|
|
$0.3153 | $0.172 | $1.032 | 262K | +11% | |
|
|
$0.3167 | $0.20 | $0.90 | 1M | +12% |
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 Instruct 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.
- 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 Instruct good for?
Image and video understanding on a single consumer GPU. Apache 2.0 weights, a 30B mixture of experts with 3B active.
When is Qwen3-VL-30B-A3B Instruct not a good fit?
Audio input, image output and built-in web search, none of which it supports. Long chain-of-thought reasoning is the job of the Thinking sibling.
What is the cheapest way to run Qwen3-VL-30B-A3B Instruct?
Hosted, unless you push serious volume. Alibaba Cloud charges $0.20 in / $0.80 out per 1M tokens. The cheapest rental that fits is 2x RTX 4060 Ti at $187 a month, which costs the same as about 624M tokens a month on that API.
Can I self-host Qwen3-VL-30B-A3B Instruct?
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
-
Qwen2.5-7B Instruct
Open weights
33K context
From $0.30 / $0.30 /1M in / out at the cheapest provider -
Qwen3-235B-A22B FP8
Open weights
33K context
From $0.20 / $0.80 /1M in / out at the cheapest provider -
Qwen3.5-397B-A17B
Open weights
262K context
From $0.172 / $1.032 /1M in / out at the cheapest provider -
Qwen3.5-122B-A10B
Open weights
262K context
From $0.115 / $0.917 /1M in / out at the cheapest provider -
Qwen3-Next-80B-A3B Instruct
Open weights
262K context
From $0.15 / $1.20 /1M in / out at the cheapest provider -
Qwen3-Next-80B-A3B Thinking
Open weights
262K context
From $0.15 / $1.20 /1M in / out at the cheapest provider -
Qwen2.5-VL-72B Instruct
Open weights
33K context
From $0.25 / $0.75 /1M in / out at the cheapest provider -
Qwen-MT-Plus
16K context
From $0.25 / $0.75 /1M in / out at the cheapest provider