Chat
2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.
What it's best for
Best for high-volume, price-sensitive work: classification, extraction, routing, tagging and short drafts, where you are making thousands of calls and every fraction of a penny per million tokens counts.
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 Llama 3.2 3B 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 llama-3.2-3b-instruct.
Credentials come from your portal, with £15
of free credit on signup.
curl https://api.node.uk/api/v1/models/llama-3.2-3b-instruct/v1/chat/completions \
-H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"model": "llama-3.2-3b-instruct", "messages": [{"role": "user", "content": "Hello"}]}'from openai import OpenAI
client = OpenAI(
base_url="https://api.node.uk/api/v1/models/llama-3.2-3b-instruct/v1",
api_key=NODE_GATEWAY_TOKEN,
)
reply = client.chat.completions.create(
model="llama-3.2-3b-instruct",
messages=[{"role": "user", "content": "Hello"}],
)Related models
Browse the full model catalogue, read which model for which task, or see how the AI Gateway works.