Qwen3 VL 30B A3B Instruct

Function calling Vision Vision

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...

What it's best for

Best for image and document understanding: extracting data from scans and photos, reading screenshots, describing images and answering questions about charts and diagrams. It supports function calling, so it can drive tools and agent workflows.

Pricing

Prices updated daily — last generated 2026-07-08.

Billing is metered per request in GBP on the same monthly invoice as your apps — no subscription, no minimum. We list every model once, at the cheapest route we can serve it on; if we have to fail over to a more expensive route, we absorb the difference and your price does not change.

Where your data is processed

Requests to Qwen3 VL 30B A3B Instruct are routed to a vetted partner provider and processed on that provider's infrastructure — they leave our infrastructure, and the UK-residency guarantee that applies to our UK-hosted models does not apply here. We hold the provider credentials server-side and route on cost and availability. If you need prompts that never leave our own infrastructure, use one of our UK-hosted models.

Call it in two minutes

The gateway is OpenAI-compatible: point your SDK or HTTP client at api.node.uk and use the model id qwen3-vl-30b-a3b-instruct. Credentials come from your portal, with £15 of free credit on signup.

curl https://api.node.uk/api/v1/models/qwen3-vl-30b-a3b-instruct/v1/chat/completions \
  -H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-vl-30b-a3b-instruct", "messages": [{"role": "user", "content": "Hello"}]}'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.node.uk/api/v1/models/qwen3-vl-30b-a3b-instruct/v1",
    api_key=NODE_GATEWAY_TOKEN,
)

reply = client.chat.completions.create(
    model="qwen3-vl-30b-a3b-instruct",
    messages=[{"role": "user", "content": "Hello"}],
)

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