Function calling Chat

3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

What it's best for

Best for everyday assistant work: drafting, summarising, rewriting and question answering, at a mid-range price point that suits steady production traffic. It supports function calling, so it can drive tools and agent workflows.

Pricing

Input $0.06 (£0.04) per 1M tokens
Output $0.24 (£0.18) per 1M tokens
Context window 131K tokens
Hosting Partner-routed vetted partner provider

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 30B A3B Instruct 2507 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 qwen3-30b-a3b-instruct-2507. Credentials come from your portal, with £15 of free credit on signup.

curl https://api.node.uk/api/v1/models/qwen3-30b-a3b-instruct-2507/v1/chat/completions \
  -H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-30b-a3b-instruct-2507", "messages": [{"role": "user", "content": "Hello"}]}'
from openai import OpenAI

client = OpenAI(
    base_url="https://api.node.uk/api/v1/models/qwen3-30b-a3b-instruct-2507/v1",
    api_key=NODE_GATEWAY_TOKEN,
)

reply = client.chat.completions.create(
    model="qwen3-30b-a3b-instruct-2507",
    messages=[{"role": "user", "content": "Hello"}],
)

Browse the full model catalogue, read which model for which task, or see how the AI Gateway works.