Dedicated model · Available as managed deployment

Qwen3-VL API in Europe: managed deployment

Qwen's vision-language models (2B, 4B and 8B) that read images, screenshots, documents and video alongside text, under Apache-2.0. Available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only, as an OpenAI-compatible endpoint on hardware only you use, hosted in the EU.

Available as managed deployment eu-es-1 · Málaga Text + vision qwen3-vl.axforge.ai
Request deployment Qwen3.8 27B, on the API now Hour, week, month or year. Hardware from €0.85/hour; managed service quoted per deployment.

Why Qwen3-VL

What you get

Sees what you sendScreenshots, scans, charts, photos and video frames: Qwen3-VL answers about them in text, with strong document and OCR-style understanding.
Small enough to be fastThe 8B is a full vision-language model on a single dedicated DGX Spark; the 2B and 4B are for high-volume image tasks.
Apache-2.0Permissive weights: deploy on your own hardware and ship commercially without a licence conversation.

Specifications

The model

ModelQwen3-VL by Qwen
ModalitiesText + vision, accepts image input
Sizes2.1B, 4.4B, 8.8B
Released2025-10
Popularity8.6M downloads / month on HuggingFace
LicenceOpen weights (Apache 2.0); commercial use permitted
AvailabilityAvailable as managed deployment, operated by AxForge on hardware reserved for you
HardwareNVIDIA DGX Spark (GB10, 128 GB unified memory), owned and operated by AxForge
RegionMálaga, Spain (eu-es-1)
PricingHardware from €0.85/hour, rental term: Hour, week, month or year. Managed service quoted per deployment. Request deployment and we confirm both in writing.

We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the model card in the catalogue and the official card on HuggingFace.

Deployment

What "managed deployment" means

SystemA dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory), reserved for you
Commercial modelHour, week, month or year. Hardware from €0.85/hour, managed service quoted per deployment
EndpointOpenAI-compatible /v1 on your own machine, only your traffic
LocationHosted in the EU: Málaga, Spain (eu-es-1)
Data handlingZero prompt retention, same policy as the serverless API

The model is validated on AxForge hardware and deployed on your system. After deployment, your endpoint speaks the OpenAI API with the model name you receive with the deployment.

Data & privacy

Zero prompt retention

Prompts and completions are processed in memory in the EU, not written to disk, not logged, not retained, and never used to train anything. We keep only request metadata (token counts, timestamps, status) for billing and operations. The full policy is at axforge.ai/privacy.

FAQ

Qwen3-VL hosting: common questions

Is Qwen3-VL on the AxForge serverless API?

Not on the serverless API. It is available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only. The serverless API serves Qwen3.8 27B.

What can Qwen3-VL do with images?

Describe them, answer questions about them, read text in them, extract fields from documents and forms, and reason over charts and UI screenshots.

Which Qwen3-VL size should I deploy?

8B for quality, 2B or 4B for throughput. All three run on a dedicated DGX Spark behind the same OpenAI-compatible endpoint.

How fast is Qwen3-VL on your hardware?

We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the official model card.

What does a dedicated Qwen3-VL deployment look like?

A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory) rented by the hour, week, month or year, running Qwen3-VL behind an OpenAI-compatible endpoint on your own machine, hosted in the EU with zero prompt retention.

What does EU Qwen3-VL hosting cost?

Hardware from €0.85/hour, by the hour, week, month or year; the managed service is quoted per deployment. Request deployment and we confirm both in writing.

Ready to build on EU inference?

Request deployment Talk to an engineer

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