LLMBase

LLMBase is a European-operated AI platform that brings multiple leading AI models into one workspace. Instead of managing separate subscriptions and interfaces for different providers, users can access models including GPT, Claude, Gemini, Grok, DeepSeek, Qwen, and LLaMA from a single platform.

Its AI Chat workspace combines access to 20+ AI models with tools for web search, file uploads, image generation, reasoning, and research. For developers, LLMBase also provides an OpenAI-compatible Inference API with usage-based billing, model discovery, streaming, tools, structured outputs, prompt caching, and capability-aware model metadata.

Key Features

Multi-Model AI Chat

Access more than 20 AI models from one workspace.

Supported model families include:

• GPT
• Claude
• Gemini
• Grok
• DeepSeek
• Qwen
• LLaMA
• Other leading AI models

This provides a single interface for comparing and using different models without maintaining separate chat subscriptions.

Web Search

Use AI models with web search capabilities directly from the chat workspace.

This supports research workflows where current web information needs to be incorporated into an AI conversation rather than relying exclusively on the model's existing knowledge.

File Uploads

Upload files directly into AI conversations for analysis and research.

This makes the chat workspace useful for working with documents and other files alongside model-based reasoning.

Image Generation

Generate images as part of the AI workspace.

Users can combine conversational AI capabilities with image generation without switching to a separate platform.

Reasoning And Research

Use models and tools suited to deeper reasoning and research workflows.

The platform brings these capabilities together with model selection, allowing users to choose among different AI systems depending on the task.

OpenAI-Compatible Inference API

LLMBase provides developers with an OpenAI-compatible Inference API, making it possible to integrate its model infrastructure into applications and existing development workflows.

The API includes:

• Usage-based billing
• Model discovery
• Streaming
• Tool support
• Structured outputs
• Prompt caching
• Capability-aware model metadata

The OpenAI-compatible interface can reduce the friction involved in working with multiple models through a developer-oriented API.

Capability-Aware Model Metadata

Model metadata helps developers understand which capabilities are available for different models.

This is useful when applications need to select models based on requirements rather than treating every model as having identical capabilities.

Usage-Based Billing

Developers can use the inference API with usage-based billing rather than managing separate model subscriptions.

This provides a more direct way to integrate model usage into applications while selecting models based on the requirements of each workload.

European Infrastructure

LLMBase is operated from Europe, with data centers located in:

• Germany
• Finland

The platform also provides privacy controls and a Data Processing Agreement (DPA), alongside enterprise-oriented solutions.

This makes its European operational and infrastructure footprint particularly relevant for organizations with specific data-handling and enterprise requirements.

Built For AI Users And Developers

AI Users

Access multiple leading models from one chat workspace instead of maintaining separate subscriptions.

Researchers

Combine model access with web search, file uploads, reasoning, and research capabilities in one environment.

Developers

Use the OpenAI-compatible Inference API to integrate multiple models into applications and workflows.

Enterprise Teams

Use European-operated infrastructure alongside privacy controls, a DPA, and enterprise-oriented solutions.

Common Use Cases

Comparing AI Models

Use different model families from a single workspace without switching between separate provider interfaces.

AI Research

Combine web search, file uploads, reasoning, and multiple models for research-oriented workflows.

Multi-Model Application Development

Use the Inference API to integrate different models into an application through an OpenAI-compatible interface.

Structured AI Workflows

Use structured outputs, tools, streaming, and capability-aware model metadata when building more controlled AI applications.

Privacy-Conscious AI Deployment

Use a European-operated platform with data centers in Germany and Finland, privacy controls, and a DPA.

One Workspace For Multiple AI Models

Working with several leading AI models can otherwise mean maintaining multiple subscriptions, interfaces, and developer integrations. LLMBase brings those models together in one platform while providing both a consumer-facing AI Chat experience and an API for developers.

The result is a unified AI environment where users can choose between models for different tasks, while developers can integrate model access into their own applications through a common API.

Why It Matters

Different AI models can be useful for different workloads, but managing several providers can introduce unnecessary complexity. Users may need multiple subscriptions, while developers may need separate integrations and billing arrangements.

LLMBase brings model access, AI tools, and developer infrastructure together. The AI Chat platform provides access to 20+ models with web search, files, image generation, reasoning, and research capabilities, while the Inference API provides a common developer interface with usage-based billing and advanced API features.

Its European operation, German and Finnish data centers, privacy controls, DPA, and enterprise solutions also give organizations a platform designed with European data-handling requirements in mind.

Access Leading AI Models From One Platform

Use GPT, Claude, Gemini, Grok, DeepSeek, Qwen, LLaMA, and 20+ other models from a single AI workspace. With web search, file uploads, image generation, reasoning, and research tools for users, plus an OpenAI-compatible Inference API for developers, LLMBase provides one European-operated platform for working with multiple AI models.