Dedicated model · Available as managed deployment
Qwen's vision-language models — 2B, 4B and 8B — that read images, screenshots, documents and video alongside text, under Apache-2.0. Validated on AxForge hardware and deployed on a dedicated DGX Spark for your traffic only — an OpenAI-compatible endpoint on hardware only you use, operated by AxForge in the EU.
Why AxForge
| Sees what you send | Screenshots, scans, charts, photos and video frames — Qwen3-VL answers about them in text, with strong document and OCR-style understanding. |
|---|---|
| Small enough to be fast | The 8B is a full vision-language model on a single dedicated DGX Spark; the 2B and 4B are for high-volume image tasks. |
| Apache-2.0 | Permissive weights — deploy on your own hardware and ship commercially without a licence conversation. |
Specifications
| Model | Qwen3-VL — Qwen |
|---|---|
| Modalities | Text + vision — accepts image input |
| Sizes | 2.1B, 4.4B, 8.8B |
| Licence | Open weights — apache-2.0; commercial use permitted |
| Hardware | NVIDIA DGX Spark (GB10, 128 GB unified memory) — owned and operated by AxForge |
| Rental term | Hour, week, month or year |
| Hardware pricing | €0.69/hour on demand · €0.66/hour by the week · €0.62/hour by the month · €0.55/hour by the year, excl. VAT |
| Managed service | Quoted per deployment |
| Region | Málaga, Spain (eu-es-1) |
Full details, benchmarks and FAQ on the Qwen3-VL page. Prices exclude VAT.
How it works
| 1 | Request deployment — describe your traffic, context needs and rental term. |
|---|---|
| 2 | You receive the configuration, hardware rental and managed-service price in writing before anything is billed. |
| 3 | AxForge deploys Qwen3-VL on a dedicated DGX Spark reserved for you. |
| 4 | Point your OpenAI SDK at your own endpoint with the model name you receive. |
| 5 | Adjust the term — hour, week, month or year — as your workload settles. |
Request deployment or sign in to start.
FAQ
Not on the serverless API — it is available as a managed deployment: validated on AxForge hardware and deployed on a dedicated DGX Spark for your traffic only. The serverless API serves Qwen3.8 27B.
Describe them, answer questions about them, read text in them, extract fields from documents and forms, and reason over charts and UI screenshots.
8B for quality, 2B or 4B for throughput — all three run on a dedicated DGX Spark behind the same OpenAI-compatible endpoint.
AxForge publishes only numbers it measures itself, and has not benchmarked this model on its nodes yet. For quality benchmarks, see the official model card.
Hardware by the hour, week, month or year; the managed service is quoted per deployment — both confirmed in writing before anything is billed.