Dedicated model · Available as managed deployment

Qwen3-ASR speech-to-text in Europe: managed deployment

Qwen's speech-recognition models (0.6B and 1.7B) with language identification and transcription for 52 languages and dialects, 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 Speech → text qwen3-asr.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-ASR

What you get

52 languages, one modelLanguage identification plus transcription in one pass, no per-language deployment.
Small and fast0.6B and 1.7B parameters: hours of audio per hour on a single dedicated machine.
Apache-2.0Permissive weights: commercial use, no licence conversation; your audio never leaves the EU.

Specifications

The model

ModelQwen3-ASR by Qwen
ModalitiesSpeech → text
Sizes782M, 938M, 2.0B, 2.3B
Released2026-01
Popularity4.6M 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-ASR hosting: common questions

Is Qwen3-ASR 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.

How does Qwen3-ASR compare to Whisper on the serverless API?

Whisper is what AxForge serves per minute; Qwen3-ASR is the newer option for a dedicated deployment, with built-in language identification and a smaller footprint.

Does it handle real-time audio?

The models are built for batch and streaming transcription; AxForge confirms the streaming setup with the deployment.

How fast is Qwen3-ASR 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-ASR deployment look like?

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

What does EU Qwen3-ASR 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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