Model garden

DeepSeek R1 0528 Qwen3 8B

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

DeepSeek R1 0528 Qwen3 8B is an open-source language model from DeepSeek with 8B parameters, hosted on EU GPUs via an OpenAI-compatible API.

deepseek-r1-0528-qwen3-8b vLLM ready
text->text · deepseek-ai · EU-hosted
8B
Parameters
Context window
24GB
Minimum VRAM
POST /api/v1/chat/completions200 OK

Specifications

Parameters 8B
Minimum VRAM 24 GB
Architecture Qwen3ForCausalLM (vLLM)
License open-weights
Modality text->text
Publisher deepseek-ai ↗

Pricing

€0.10
Input (per 1M tokens)
€0.18
Output (per 1M tokens)

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

✓ Verified working on 26-06-2026 — responded in 481 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": "deepseek-r1-0528-qwen3-8b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run DeepSeek R1 0528 Qwen3 8B in the EU?

Yes. HostYourAI runs DeepSeek R1 0528 Qwen3 8B 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 DeepSeek R1 0528 Qwen3 8B 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 DeepSeek R1 0528 Qwen3 8B cost?

Via the shared EU router you pay €0.10 per million input tokens and €0.18 per million output tokens, with no fixed costs. For high volume or isolation you can also run DeepSeek R1 0528 Qwen3 8B 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 DeepSeek

DeepSeek V4 Pro

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models — DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated) — both supporting a context length of one million tokens.

862B 1M context View model →
DeepSeek V4 Flash

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models — DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated) — both supporting a context length of one million tokens.

158B 1M context View model →
DeepSeek OCR 2

Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.12.9 + CUDA11.8:

3.4B 8K context View model →
DeepSeek V3.2

We introduce DeepSeek-V3.2, a model that harmonizes high computational efficiency with superior reasoning and agent performance. Our approach is built upon three key technical breakthroughs:

685B 164K context View model →
DeepSeek OCR

torch==2.6.0 transformers==4.46.3 tokenizers==0.20.3 einops addict easydict pip install flash-attn==2.7.3 --no-build-isolation

3.3B 8K context View model →
DeepSeek V3.2 Exp

We are excited to announce the official release of DeepSeek-V3.2-Exp, an experimental version of our model. As an intermediate step toward our next-generation architecture, V3.2-Exp builds upon V3.1-Terminus by introducing DeepSeek Sparse Attention—a sparse attention mechanism designed to explore and validate optimizations for training and inference efficiency in long-context scenarios.

685B 164K context View model →

Try DeepSeek R1 0528 Qwen3 8B for free

Creating an account takes a minute. Test DeepSeek R1 0528 Qwen3 8B straight away in the playground.

Start for free