Function calling Vision Chat
8T-parameter open-weight multimodal reasoning model. Built for complex coding, knowledge work, and long-horizon agentic workflows, it excels at navigating large repositories, calling tools, debugging, and iterating on images, logs, tests, and runtime feedback. Its architecture relies on KDA and Attention Residuals for computational efficiency.
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 2026-08-14.
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 Kimi K3 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 kimi-k3.
Credentials come from your portal, with £25
of free credit on signup.
curl https://api.node.uk/api/v1/models/kimi-k3/v1/chat/completions \
-H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"model": "kimi-k3", "messages": [{"role": "user", "content": "Hello"}]}'from openai import OpenAI
client = OpenAI(
base_url="https://api.node.uk/api/v1/models/kimi-k3/v1",
api_key=NODE_GATEWAY_TOKEN,
)
reply = client.chat.completions.create(
model="kimi-k3",
messages=[{"role": "user", "content": "Hello"}],
)Related models
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