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Model garden Router · on request Dedicated · available

DeepSeek V4 Pro

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

Note: DeepSeek-V4-Pro-DSpark is not a new model. It is the same checkpoint with an additional speculative decoding module attached. A minimal inference example is available in the inference folder. For more details, refer to: https://github.com/deepseek-ai/DeepSpec

Start for free ← All models
deepseek-ai/DeepSeek-V4-Pro-DSpark vLLM ready
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
1,049K
Context window
1072GB
Minimum VRAM
POST /api/v1/chat/completions On request

Specifications

Context window 1,048,576 tokens
Minimum VRAM 1072 GB
Architecture DeepseekV4ForCausalLM (vLLM)
License open-weights
Modality text->text
Released June 2026
Publisher deepseek-ai ↗

Pricing

Shared router · per token
On request
Not available on the shared router. Pricing on request as a dedicated GPU deployment.
Prefer per token on the shared router? This model runs always-on as DeepSeek V4 Pro.
Dedicated GPU · per hour
from €54,00 per hour
Your own vLLM instance on European cloud (1072 GB VRAM), billed hourly.

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

✓ Verified working on 22-07-2026, responded in 33160 ms on our EU infrastructure.

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.

73.4 / 100 · Via LiveBench

Translated from its LiveBench result onto the same scale.

Range 67.1 to 79.7

Sources: Epoch AI ↗ · LiveBench ↗ · LMArena ↗ · Refreshed daily, last on 04-10-2026

LiveBench · 71.6 · Rank 53 of 66
Reasoning 82.7
Coding 70.0
Agentic coding 42.6
Mathematics 90.7
Data analysis 74.5
Language 78.1
Instruction following 62.4
LiveBench · All tasks
Reasoning
theory of mind 80.8
zebra puzzle 92.0
spatial 94.0
logic with navigation 64.0
Coding
code generation 70.4
code completion 69.6
Agentic coding
javascript 54.6
typescript 23.3
python 50.0
Mathematics
AMPS Hard 98.0
integrals with game 78.0
math comp 96.1
olympiad 90.6
Data analysis
consecutive events 75.4
tablejoin 48.2
tablereformat 100.0
Language
connections 98.0
plot unscrambling 56.4
typos 80.0
Instruction following
paraphrase 56.2
simplify 55.9
story generation 67.8
summarize 69.5

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-V4-Pro-DSpark",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run DeepSeek V4 Pro in the EU?

Yes. HostYourAI runs DeepSeek V4 Pro 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 V4 Pro 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 V4 Pro cost?

DeepSeek V4 Pro 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

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.

763B 1M context View model →
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.

305B 1M context View model →
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 →
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 →

Try DeepSeek V4 Pro for free

Creating an account takes a minute. Test DeepSeek V4 Pro straight away in the playground.

Start for free