Qwen3.5 122B A10B

Function calling Reasoning Vision Chat

5 series with 122B total parameters and 10B activated per token. It features a 262K token context window (extensible to 1M with YaRN), thinking/reasoning mode, tool calling, and support for 201 languages. Excels at complex reasoning, coding, multimodal understanding, and agentic tasks with the efficiency of sparse activation.

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 Qwen3.5 122B A10B 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 qwen3.5-122b-a10b. Credentials come from your portal, with £25 of free credit on signup.

curl https://api.node.uk/api/v1/models/qwen3.5-122b-a10b/v1/chat/completions \
  -H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3.5-122b-a10b", "messages": [{"role": "user", "content": "Hello"}]}'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.node.uk/api/v1/models/qwen3.5-122b-a10b/v1",
    api_key=NODE_GATEWAY_TOKEN,
)

reply = client.chat.completions.create(
    model="qwen3.5-122b-a10b",
    messages=[{"role": "user", "content": "Hello"}],
)

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