AI Infrastructure from Europe

EU-hosted, production-ready AI inference.

Reliable performance and cost predictability at scale. Privacy-conscious, ISO 27001 compliant, OpenAI drop-in replacement.

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GDPR / DSGVO

Compliant

ISO 27001

Compliant

No Training

Never on your data

DPA

Included

Models & Pricing

14 EU-hosted Open Source Models

Open source models hosted in European data centers. Pay-per-use — no monthly fees.

Model	Context	Cache /1M	Input /1M	Output /1M
Kimi K3 moonshotai/kimi-k3	1M	$0.40	$4.00	$18.00
GLM 5.2 z-ai/glm-5.2	1M	$0.30	$1.40	$4.40
Kimi K2.7 Code moonshotai/kimi-k2.7-code	256K	$0.20	$0.95	$4.00
MiniMax M3 minimax/minimax-m3	512K	$0.15	$0.40	$1.40
DeepSeek V4 Pro deepseek/deepseek-v4-pro	1M	$0.20	$1.80	$3.60
DeepSeek V4 Flash deepseek/deepseek-v4-flash	1M	$0.07	$0.20	$0.30
Qwen3.6-35B-A3B qwen/qwen3.6-35b-a3b	256K	$0.10	$0.20	$1.20
Kimi K2.6 moonshotai/kimi-k2.6	256K	$0.20	$0.90	$4.00
Qwen3.5 397B A17B qwen/qwen3.5-397b-a17b	256K	$0.30	$0.60	$3.60
FLUX 2 Klein black-forest-labs/flux.2-klein-4b	—	—	$0.02 / image	—
Qwen3 Embedding 8B qwen/qwen3-embedding-8b	31K	$0.00	$0.02	$0.00
Qwen3-VL-30B-A3B-Instruct qwen/qwen3-vl-30b-a3b-instruct	256K	$0.00	$0.20	$0.70
gpt-oss-120b openai/gpt-oss-120b	128K	$0.09	$0.18	$0.72
gpt-oss-20b openai/gpt-oss-20b	128K	$0.00	$0.07	$0.20

Processing location depends on the selected model and available infrastructure.

API documentation

Estimate your cost

What would your monthly volume cost?

Pick a model and a typical workload, or adjust monthly token volume, input/output ratio, and cache hit rate yourself.

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Model

$0.00

$0.00 blended / 1M tokens

Presets:

Tokens / month

Input / output ratio

85 / 15

Cache hit rate

60%

Plug and Play

Serve the latest AI models via API

We offer full compatibility with OpenAI API, allowing you to easily integrate powerful language models into your applications using OpenAI's official libraries.

Uptime in 30 days: 99.999%
Latency on average: 45ms
per Million Tokens (*Depends on model): $0.20

Full API documentation

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: process.env.LLMBASE_API_KEY,
  baseURL: 'https://api.llmbase.ai/v1'
});

const chat = await openai.chat.completions.create({
  model: "moonshotai/kimi-k3",
  messages: [{ role: "user", content: "Hello!" }],
});

from openai import OpenAI

client = OpenAI(
    api_key=os.environ["LLMBASE_API_KEY"],
    base_url="https://api.llmbase.ai/v1"
)

response = client.chat.completions.create(
    model="moonshotai/kimi-k3",
    messages=[{"role": "user", "content": "Hello!"}]
)

curl https://api.llmbase.ai/v1/chat/completions \
  -H "Authorization: Bearer LLMBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshotai/kimi-k3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'