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DeepSeek V4.1 Flash

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

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.

Start for free ← All models
deepseek-ai/DeepSeek-V4.1-Flash
text+image->text · deepseek-ai · sovereign EU
Runs on EU infrastructure operated by European companies; US marketplace capacity is never part of this chain. Full chain
763B
Parameters
1,049K
Context window
919GB
Minimum VRAM
POST /api/v1/chat/completions 200 OK

Specifications

Parameters 763B
Context window 1,048,576 tokens
Minimum VRAM 919 GB
Architecture DeepseekV41ForCausalLM (vLLM)
License mit
Modality text+image->text
Released September 2026
Publisher deepseek-ai ↗

Pricing

Shared router · per token
€0.58
Input (per 1M tokens)
€1.73
Output (per 1M tokens)
€0.15 per million cached input tokens
Dedicated GPU · per hour
from €54,00 per hour
Your own vLLM instance on European cloud (919 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.

81.1 / 100 · Measured

Measured by Epoch AI across 4 benchmarks, with a range.

Range 73.1 to 84.2 · Rank 32 of 274 at Epoch AI

Sources: Epoch AI ↗ · LiveBench ↗ · LMArena ↗ · Refreshed daily, last on 08-10-2026

LiveBench · 81.1 · Rank 9 of 69
Reasoning 86.7
Coding 80.0
Agentic coding 77.3
Mathematics 93.3
Data analysis 79.3
Language 81.2
Instruction following 70.0
Every benchmark (4)
DTBench 83.1
LMCA 55.3
ProofBench 54.0
Surface Evolver Bench 46.3
LiveBench · All tasks
Reasoning
theory of mind 80.8
zebra puzzle 100.0
spatial 98.0
logic with navigation 68.0
Coding
code generation 77.5
code completion 82.6
Agentic coding
javascript 81.8
typescript 60.0
python 90.0
Mathematics
AMPS Hard 98.0
integrals with game 90.0
math comp 96.1
olympiad 89.1
Data analysis
consecutive events 88.7
tablejoin 49.0
tablereformat 100.0
Language
connections 100.0
plot unscrambling 61.6
typos 82.0
Instruction following
paraphrase 70.7
simplify 67.1
story generation 72.7
summarize 69.7

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-V4.1-Flash",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run DeepSeek V4.1 Flash in the EU?

Yes. HostYourAI runs DeepSeek V4.1 Flash 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 V4.1 Flash 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 V4.1 Flash cost?

Via the shared EU router you pay €0.58 per million input tokens and €1.73 per million output tokens, with no fixed costs. For high volume or isolation you can also run DeepSeek V4.1 Flash 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 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.

1650B 1M context View model →
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 →
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:

164K context View model →

Try DeepSeek V4.1 Flash for free

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