Granite 4.0 H Micro

Function calling Chat

0 instruct models deliver strong performance across benchmarks, achieving industry-leading results in key agentic tasks like instruction following and function calling. These efficiencies make the models well-suited for a wide range of use cases like retrieval-augmented generation (RAG), multi-agent workflows, and edge deployments.

What it's best for

Best for the hardest general work: long, nuanced documents, difficult reasoning and tasks where output quality matters more than price per token. 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 Granite 4.0 H Micro 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 granite-4.0-h-micro. Credentials come from your portal, with £15 of free credit on signup.

curl https://api.node.uk/api/v1/models/granite-4.0-h-micro/v1/chat/completions \
  -H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "granite-4.0-h-micro", "messages": [{"role": "user", "content": "Hello"}]}'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.node.uk/api/v1/models/granite-4.0-h-micro/v1",
    api_key=NODE_GATEWAY_TOKEN,
)

reply = client.chat.completions.create(
    model="granite-4.0-h-micro",
    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.