Qwen3 Coder 480B A35B Instruct

Function calling Code

Qwen3-Coder-480B-A35B-Instruct is the Qwen3's most agentic code model, featuring Significant Performance on Agentic Coding, Agentic Browser-Use and other foundational coding tasks, achieving results comparable to Claude Sonnet.

What it's best for

Best for heavier coding work: multi-file implementation, debugging, code review and complex refactors. Bigger code models cost more per token but need fewer retries on hard problems. 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 Qwen3 Coder 480B A35B 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 qwen3-coder-480b-a35b-instruct. Credentials come from your portal, with £15 of free credit on signup.

curl https://api.node.uk/api/v1/models/qwen3-coder-480b-a35b-instruct/v1/chat/completions \
  -H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-coder-480b-a35b-instruct", "messages": [{"role": "user", "content": "Hello"}]}'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.node.uk/api/v1/models/qwen3-coder-480b-a35b-instruct/v1",
    api_key=NODE_GATEWAY_TOKEN,
)

reply = client.chat.completions.create(
    model="qwen3-coder-480b-a35b-instruct",
    messages=[{"role": "user", "content": "Hello"}],
)

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