Qwen3 VL 8B Thinking

Function calling Reasoning Vision Reasoning

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...

What it's best for

Best for multi-step problems where the model benefits from working through its chain of thought: maths, analysis, planning and agentic loops. Reasoning models produce (and bill for) more output tokens than plain chat models, so use them where the extra thinking pays for itself. 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 VL 8B Thinking 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-vl-8b-thinking. Credentials come from your portal, with £15 of free credit on signup.

curl https://api.node.uk/api/v1/models/qwen3-vl-8b-thinking/v1/chat/completions \
  -H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-vl-8b-thinking", "messages": [{"role": "user", "content": "Hello"}]}'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.node.uk/api/v1/models/qwen3-vl-8b-thinking/v1",
    api_key=NODE_GATEWAY_TOKEN,
)

reply = client.chat.completions.create(
    model="qwen3-vl-8b-thinking",
    messages=[{"role": "user", "content": "Hello"}],
)

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