HostYourAI
Get Started
Model garden

Qwen3 VL 32B Instruct

Instantly via the EU router or as a dedicated GPU deployment. Data stays in Europe.

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Start for free ← All models
Qwen/Qwen3-VL-32B-Instruct vLLM ready
text+image->text · Qwen · EU-hosted
33B
Parameters
—
Context window
77GB
Minimum VRAM
POST /api/v1/chat/completions200 OK

Specifications

Parameters 33B
Minimum VRAM 77 GB
Architecture Qwen3VLForConditionalGeneration (vLLM)
License apache-2.0
Modality text+image->text
Released October 2025
Publisher Qwen ↗

Pricing

€0.25
Input (per 1M tokens)
€0.40
Output (per 1M tokens)

Shared EU router, pay-per-token, scale-to-zero. Dedicated GPU deployments are billed hourly — see pricing.

✓ Verified working on 24-06-2026 — responded in 652 ms on our EU infrastructure.

Call it now

Drop-in replacement for OpenAI: change only the base URL and API key. The Anthropic format (/v1/messages) is supported too.

curl https://hostyourai.com/api/v1/chat/completions \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/Qwen3-VL-32B-Instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run Qwen3 VL 32B Instruct in the EU?

Yes. HostYourAI runs Qwen3 VL 32B Instruct on GPUs in European datacenters via vLLM. Prompts and outputs never leave the EU and there is no US cloud provider in the chain.

Is hosting Qwen3 VL 32B Instruct GDPR-compliant?

Yes. All processing happens inside the EU, a Data Processing Agreement (DPA) is available and the subprocessor list is public. Open-source weights also mean: no training on your data.

How much does Qwen3 VL 32B Instruct cost?

Via the shared EU router you pay €0.25 per million input tokens and €0.40 per million output tokens, with no fixed costs. For high volume or isolation you can also run Qwen3 VL 32B Instruct as a dedicated hourly GPU instance.

Is the API OpenAI-compatible?

Yes. You use the standard OpenAI SDKs with a custom base URL (https://hostyourai.com/api/v1). The Anthropic Messages API is supported as a drop-in as well.

More models from Qwen

Qwen3.6 27B FP8

[!Note] This repository contains FP8-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. The quantization method is fine-grained fp8 quantization with block size of 128, and its performance metrics are nearly identical to those of the original model.

28B View model →
Qwen3.6 27B

[!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

28B View model →
Qwen3.6 35B A3B FP8

[!Note] This repository contains FP8-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. The quantization method is fine-grained fp8 quantization with block size of 128, and its performance metrics are nearly identical to those of the original model.

36B View model →
Qwen3.6 35B A3B

[!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

36B View model →
Qwen3.5 35B A3B GPTQ Int4

[!Note] This repository contains int4-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

36B View model →
Qwen3.5 27B GPTQ Int4

[!Note] This repository contains int4-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

28B View model →

Try Qwen3 VL 32B Instruct for free

Creating an account takes a minute. Test Qwen3 VL 32B Instruct straight away in the playground.

Start for free