[Edaily Reporter Lee So-Hyun ] Cafe24 Corp.(042000)has unveiled a service that allows users to integrate and operate major artificial intelligence (AI) models—such as ChatGPT, Claude, and Gemini—on a single infrastructure.

Global e-commerce platform Cafe24 Corp. announced on the 22nd that it has launched “LLM Router,” an AI operations infrastructure service that allows users to leverage more than 120 AI models via a single API. LLM Router operates on a pay-as-you-go credit system. Free credits are provided immediately upon sign-up.

LLM Router connects major AI models—such as ChatGPT, Claude, and Gemini—to a single platform and acts as an orchestrator that selects, distributes, and switches between models based on user requests.

As the use of generative AI has become widespread recently, the practice of “multi-homing”—using multiple AI models simultaneously depending on the purpose—is also on the rise. According to the “2025 Survey on the Status of Value-Added Telecommunications Services” released by the Ministry of Science and ICT on the 3rd, 53.2% of generative AI users are multi-homing users who use two or more generative AI platforms simultaneously. This indicates that the practice of utilizing different AI systems for specific purposes—such as coding, searching, translation, summarization, and content creation—is becoming more widespread.

However, as the number of AI models used increases, so does the management burden. Users must manage accounts, costs, and usage statistics separately for each service, and when integrating AI models into a service, configuration and operational tasks are required every time a new model is added or replaced.

Cafe24 Corp. explained that the LLM Router was designed to manage these complex processes within a single integrated environment.

The LLM Router supports access to over 120 AI models—including OpenAI’s GPT family, as well as Claude, Gemini, DeepSeek, Q-One, and Llama—through a single API.

The key component is the routing engine. Based on the user’s request, the routing engine analyzes the task type—such as coding, reasoning, translation, or creative writing—and automatically connects the user to the most suitable AI model. If the user specifies the range of models to be used in advance, the system automatically connects only within that range. This allows users to leverage AI tailored to their specific needs without having to compare or select models one by one.

The service also offers a feature for setting priorities among AI service providers. If the same model is offered by multiple providers, users are automatically connected to the most suitable provider based on criteria they define, such as cost, speed, and throughput. For example, even for the same Claude model, if cost is the priority, users are connected to the most cost-effective provider; if speed is the priority, they are connected to the fastest provider.

It also supports whitelist and blacklist features to allow or exclude specific AI service providers. Users can adjust the scope of automatic connections as needed.

It also provides an automatic failover feature in case a specific AI model fails to respond. Users can pre-configure a primary model and an alternative model. If the primary model fails to respond, the next candidate model automatically takes over the request. For example, if Claude—which was being used as the primary model—fails to respond, another pre-designated model automatically takes over, ensuring service continuity.

A dashboard is also provided that allows users to manage multiple AI models within a single environment. Through the real-time dashboard, users can view metrics such as the number of requests, costs, token usage trends, cost breakdown by model, and success/failure rates—all on a single screen. It also supports detailed logs per request and usage tracking categorized by team, project, and environment, enabling users to understand their AI utilization status and cost structure.

Users can also connect their own AI model keys to the LLM Router. By registering model keys for models they are already using—such as GPT, Claude, and Gemini—via “BYOK” mode, they can utilize those models directly within the LLM Router environment. This allows users to manage the costs of using AI models directly, even when routing through the LLM Router.

Cafe24 Corp. plans to expand support for new AI models and AI service providers in the future, while further enhancing features that improve the convenience of AI operation and management.

Lee Jae-seok, CEO of Cafe24 Corp., said, “As the variety of AI models grows rapidly, connecting and operating them efficiently has become a new challenge,” adding, “Cafe24 Corp. will continue to faithfully fulfill its role as the infrastructure provider so that users can utilize various AI tools more conveniently.”