Llama 4 Maverick 17B 128e Instruct

Vision Vision

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. Llama 4 Maverick, a 17 billion parameter model with 128 experts

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.

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 4 Maverick 17B 128e 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-4-maverick-17b-128e-instruct. Credentials come from your portal, with £15 of free credit on signup.

curl https://api.node.uk/api/v1/models/llama-4-maverick-17b-128e-instruct/v1/chat/completions \
  -H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "llama-4-maverick-17b-128e-instruct", "messages": [{"role": "user", "content": "Hello"}]}'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.node.uk/api/v1/models/llama-4-maverick-17b-128e-instruct/v1",
    api_key=NODE_GATEWAY_TOKEN,
)

reply = client.chat.completions.create(
    model="llama-4-maverick-17b-128e-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.