Model garden Router · on request Dedicated · available

DeepSeek R1

Runs as your own dedicated GPU deployment, ready to launch from the wizard. Data stays in Europe.

We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With R...

deepseek-ai/DeepSeek-R1 On request
text->text · deepseek-ai · sovereign EU
Runs on EU infrastructure operated by European companies; US marketplace capacity is never part of this chain. Full chain
—
Parameters
164K
Context window
827GB
Minimum VRAM
POST /api/v1/chat/completions On request

Specifications

Context window 163,840 tokens
Minimum VRAM 827 GB
Architecture DeepseekV3ForCausalLM (vLLM)
License open-weights
Modality text->text
Released January 2025
Publisher deepseek-ai ↗

Pricing

Shared router · per token
On request
Not available on the shared router. Pricing on request as a dedicated GPU deployment.
Dedicated GPU · per hour
from €63,12 per hour
Your own vLLM instance on European cloud (827 GB VRAM), billed hourly.

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

Bench index

Bench is our quality index for every model, 0 to 100. It rests on public measurements (Epoch AI with about 40 benchmarks, LiveBench, LMArena and more) and is refreshed every morning. Where nobody measures, it shows an estimate with a range.

61.0 / 100 · Measured

Measured by Epoch AI across 12 benchmarks, with a range.

Range 57.5 to 62.8 · Rank 129 of 270 at Epoch AI

Sources: Epoch AI ↗ · LiveBench ↗ · LMArena ↗ · Refreshed daily, last on 23-10-2026

LiveBench · 72.7
Reasoning 77.2
Coding 76.1
Mathematics 77.9
Data analysis 69.6
Language 54.8
Instruction following 80.5
Every benchmark (12)
MATH level 5 93.1
Lech Mazur Writing 83.0
Fiction.LiveBench 69.4
GPQA diamond 64.9
Aider polyglot 56.9
OTIS Mock AIME 2024-2025 53.3
METR Time Horizons 51.9
WeirdML 36.5
Balrog 34.9
SimpleBench 17.1
ARC-AGI 15.8
ARC-AGI-2 1.3
LiveBench · All tasks
Reasoning
web of lies v3 80.0
zebra puzzle 75.5
spatial 76.0
Coding
code generation 76.1
code completion 76.1
Mathematics
AMPS Hard 84.0
math comp 84.4
olympiad 65.4
Data analysis
tablejoin 39.3
tablereformat 100.0
Language
connections 67.5
plot unscrambling 38.8
typos 58.0
Instruction following
paraphrase 80.6
simplify 82.9
story generation 85.6
summarize 73.0

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-ai/DeepSeek-R1",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run DeepSeek R1 in the EU?

Yes. HostYourAI runs DeepSeek R1 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 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 cost?

DeepSeek R1 is available on request: through the shared EU router after a quick chat, or as your own dedicated GPU deployment billed per hour. Tell us your use case and we will set it up for you.

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 V4.1 Flash 1017

DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete tasks faster and at lower cost and advancing the performance–cost Pareto frontier across multiple agent harnesses.

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DeepSeek V4.1 Flash

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DeepSeek V4 Flash Vision Exp

We are excited to introduce DeepSeek-V4-Flash-Vision-Exp, our first experimental multimodal model in the DeepSeek-V4 family. It builds on the DeepSeek-V4-Flash architecture by incorporating visual modules and undergoing continued training to unlock visual understanding capabilities.

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DeepSeek V4 Pro 0813

DeepSeek-V4-Pro-0813 is the official release of DeepSeek-V4-Pro, superseding the preview version, with greatly enhanced agentic capabilities and performance improvements that are especially pronounced in production environments. It is built on the DeepSeek-V4-Pro (Preview) model structure, with a DSpark speculative decoding module attached.

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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.

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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.

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Try DeepSeek R1 for free

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