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Model garden Router · on request Dedicated · available

DeepSeek V3

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

We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, w...

Start for free ← All models
deepseek-ai/DeepSeek-V3 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 December 2024
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.

52.9 / 100 · Measured

Measured by Epoch AI across 14 benchmarks, with a range.

Range 47.6 to 56.5 · Rank 154 of 270 at Epoch AI

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

LiveBench · 60.5
Reasoning 56.8
Coding 61.8
Mathematics 60.5
Data analysis 60.9
Language 47.5
Instruction following 75.3
Every benchmark (14)
ARC AI2 93.7
HellaSwag 85.2
BBH 83.3
TriviaQA 82.9
MMLU 82.9
Winogrande 70.4
PIQA 69.4
MATH level 5 64.9
Aider polyglot 48.4
METR Time Horizons 47.4
GPQA diamond 43.8
OTIS Mock AIME 2024-2025 15.7
FrontierMath-2025-02-28-Private 3.0
SimpleBench 2.7
LiveBench · All tasks
Reasoning
web of lies v2 86.0
zebra puzzle 34.3
spatial 50.0
Coding
LCB generation 61.5
coding completion 62.0
Mathematics
AMPS Hard 67.0
math comp 60.4
olympiad 54.2
Data analysis
cta 58.0
tablejoin 32.8
tablereformat 92.0
Language
connections 32.8
plot unscrambling 47.6
typos 62.0
Instruction following
paraphrase 75.5
simplify 76.2
story generation 76.4
summarize 72.9

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-V3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run DeepSeek V3 in the EU?

Yes. HostYourAI runs DeepSeek V3 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 V3 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 V3 cost?

DeepSeek V3 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.

763B 1M context View model →
DeepSeek V4.1 Flash

We introduce DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts (MoE) model with 552B backbone parameters and support for contexts of up to one million tokens. The model natively processes images and text, and generates text autoregressively.

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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.

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.

291B 1M context View model →

Try DeepSeek V3 for free

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