HostYourAI
Product
EU RouterHostYourAI CodeOpenAI-compatible APIAnthropic-compatible APIModel GardenDedicated InstancesPlaygroundFine-tuning (Loes)Connect your GPU pool
Solutions
Use cases
HostYourAI CodeLLM InferenceRAG pipelinesChatbotsAI agentsFine-tuning
Industries
GovernmentHealthcareFinanceLegal
Models
DeepSeek V4 ProDeepSeek V4 FlashGLM 5.2Llama 3.1 405BQwen3.5 397BLlama 3.3 70BMistralDeepSeek R1All models →
Compare
Azure OpenAIAWS BedrockClaude APIChatGPTOpenAI
Resources
DocumentationGuide: migrate to the EU RouterGuide: deploy your own LLM (vLLM)Guide: build RAG on EU GPUsModel catalog
Pricing
NL EN DE
Login Book Demo Get Started
Model garden Router · available Dedicated · available

Qwen 3 Coder 30B-A3B (MoE)

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

Qwen 3 Coder 30B-A3B (MoE) is an open-source language model from Qwen with 30B parameters and a 262K-token context window, hosted on EU GPUs via an OpenAI-compatible API.

Start for free ← All models
qwen-3-coder-30b-a3b
text->text · qwen · EU-hosted
30B
Parameters
262K
Context window
80GB
Minimum VRAM
POST /api/v1/chat/completions 200 OK

Specifications

Parameters 30B
Context window 262,144 tokens
Minimum VRAM 80 GB
Architecture Qwen3MoeForCausalLM (vLLM)
License open-weights
Modality text->text
Publisher qwen ↗

Pricing

Shared router · per token
€0.25
Input (per 1M tokens)
€0.40
Output (per 1M tokens)
Dedicated GPU · per hour
from €3,58 per hour
Your own vLLM instance on European cloud (80 GB VRAM), billed hourly.

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

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-3-coder-30b-a3b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run Qwen 3 Coder 30B-A3B (MoE) in the EU?

Yes. HostYourAI runs Qwen 3 Coder 30B-A3B (MoE) 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 Qwen 3 Coder 30B-A3B (MoE) 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 Qwen 3 Coder 30B-A3B (MoE) 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 Qwen 3 Coder 30B-A3B (MoE) 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 262K context 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 262K context 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 262K context 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 262K context 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 262K context View model →
Qwen3.5 0.8B Base

[!Note] This repository contains model weights and configuration files for the pre-trained only model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, etc. The intended use cases are fine-tuning, in-context learning experiments, and other research or development purposes, not direct interaction. However, the control tokens, e.g., <|imstart| and <|imend| were trained to allow efficient LoRA-style PEFT with the official chat template, mitigating the need to finetune embeddings, a significant optimization given Qwen3.5's larger

0.9B 262K context View model →

Try Qwen 3 Coder 30B-A3B (MoE) for free

Creating an account takes a minute. Test Qwen 3 Coder 30B-A3B (MoE) straight away in the playground.

Start for free