QuantenRam-GPT-Service

One API. All Leading Models. Chat with GPT-4, Claude, Gemini & Open-Source Models. EU Hosted with Maximum Privacy.

🇪🇺 EU Hosted 🔒 GDPR Compliant ⚡ 99.9% Uptime

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Why QuantenRam?

🌍

One API, All Models

Access GPT-4, Claude, Gemini, Llama through a single OpenAI-compatible API. No vendor lock-in.

💬

Chat & API

Web interface for testing and complete REST API for integration into your applications.

💶

Transparent Pricing

Pay only for what you use. Monthly subscriptions with included credits. No hidden fees.

🖥️

Self-Hosted vLLM

Run your own open-source models with vLLM integration. Full control, maximum privacy.

🎙️

Speech & Audio

Text-to-Speech and Speech Recognition with speaker diarization. MP3, WAV, OGG support.

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quantenram Agent

Desktop AI agent for task automation on your computer. Coming soon

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Local Models

German open-source models on local servers with data security and compliance. Contact on Instagram for details.

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B2B Setup

Support and realization for businesses. Keep your data safe at your company location, use our platform with your local server. We can build and setup for you.

Simple Pricing

Chat with intelligent GPT's or use Unified API Gateway for LLMs. Access Leading GPT's and open-source models through a single API. Or open Chat with your favourite ones. Choose if it is EU Hosted, International Hosted, or Local hosted at our Server for maximal privacy.

Free

€0/month

Self-hosted vLLM models
QuantenRam Free tier
10 requests/minute
Community support

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Popular

Start

€8/month

Everything in Free
GLM-5, Kimi K2.5, MiniMax
60 requests/minute
Web chat interface
API key management

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Zenmaster

€18/month

Everything in Start
GPT-4, Claude, Gemini
120 requests/minute
Priority support

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Start in 3 Minutes

Step-by-step guide to connect to our API with code examples.

Quick Start Guide API Reference

OpenAI-Compatible API

Drop-in replacement. Just change the base URL.

import openai; client = openai.OpenAI(base_url="https://quantenram.net/v1", api_key="your-api-key"); response = client.chat.completions.create(model="gpt-4", messages=[{"role": "user", "content": "Hello!"}])
            

Chat & API

Convenient web interface for chatting and a complete API for integration into your applications. View API docs

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