Dedicated model · Available as managed deployment

Qwen3 API in Europe: managed deployment

Alibaba's Qwen3 family of dense models from 0.6B to 32B and mixture-of-experts up to 235B, with a switchable thinking mode, 119 languages and Apache-2.0 weights. 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 40,960 ctx · Text qwen3.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

What you get

One family, every size0.6B to 32B dense plus 30B-A3B and 235B-A22B MoE: pick the size for the job and keep the same behaviour and prompt style across them.
Thinking on demandQwen3 reasons step by step when you ask and answers directly when you do not. One model for both modes, switched per request.
Apache-2.0Permissive weights with no usage conditions: deploy, fine-tune and ship commercially without a licence conversation.

Specifications

The model

ModelQwen3 by Qwen
ModalitiesText
Sizes752M, 1.7B, 2.0B, 4.0B, 8.2B, 14.8B
Context window40,960 tokens
Released2025-04
Popularity22.5M 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 hosting: common questions

Is Qwen3 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.

Which Qwen3 size should I deploy?

8B and 14B for fast general use on a dedicated DGX Spark, 32B or 30B-A3B when quality matters; the 235B MoE is a multi-GPU deployment.

How is Qwen3 different from Qwen3.8 on the serverless API?

Qwen3.8 27B is the newer generation AxForge serves per token. Qwen3 is the broader family with more sizes, the choice when you want a specific size on your own machine.

How fast is Qwen3 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 deployment look like?

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

What does EU Qwen3 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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