Best Alternatives to LiteLLM

What is LiteLLM and What are LLMs?

Large Language Models (LLMs) are AI systems designed to understand and generate human language. Built with deep learning, they are trained on vast datasets to perform tasks like, translation, summarization, and chatbots.

LLMs have become essential tools for businesses, helping to automate language-based tasks. Their versatility enables them to streamline processes, improve efficiency, and enhance user experiences, making them a crucial asset in sectors like e-commerce, healthcare, and finance.

LiteLLM is one such platform that aggregates LLMs, providing businesses with easy access to multiple models from one interface. However, LiteLLM is not the only option available, and businesses are increasingly turning to alternatives that offer more flexibility, customization, and scalability.

In this article, we’ll explore the best LiteLLM alternatives that serve as LLM aggregators. We’ll delve into six key platforms, examining how each aggregates LLMs and provides businesses with powerful AI tools.

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The best LiteLLM Alternatives in 2025:

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1. Eden AI

Eden AI stands out as a versatile alternative to LiteLLM, offering access to a wide range of LLMs from multiple providers. On top of its advanced LLMs, Eden AI also offers access to a broad range of AI services, including image generation, translation, text-to-speech, and much more.

Eden AI excels in customization, enabling fine-tuning for higher accuracy, and supports seamless scaling for businesses of all sizes.

The ease of integration and strong customer support further enhance the platform's appeal, making it a top choice for businesses seeking a long-term, adaptable LLM aggregation solution.

Its pay-as-you-go pricing automatically selects the most cost-efficient model, ensuring savings without compromising quality. With features like caching and fallback providers, it ensures reliability and reduces unnecessary charges.

Eden AI's powerful combination of customization, scalability, and access to diverse models positions it as the ideal alternative to LiteLLM for organizations that demand more than just a one-size-fits-all solution.

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2. Portkey

Portkey is an open-source AI gateway designed to assist developers and organizations in integrating and managing large language models (LLMs) for AI applications.

It provides a robust infrastructure for LLM orchestration and a unified API for accessing multiple AI providers, including OpenAI, Anthropic, and Hugging Face.

With features like load balancing, caching, and observability, Portkey aims to streamline AI model management, though its effectiveness depends on specific use cases.

Businesses dealing with large-scale document processing or developers working across multiple AI providers may find it beneficial for organizing workflows and improving efficiency.

However, while Portkey can optimize operations and reduce the complexity of managing AI models, it primarily acts as a management layer rather than introducing groundbreaking innovations.

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3. Kong AI

Kong AI takes a more technical, API-driven approach to LLM aggregation. This platform is particularly valuable for large organizations that need to integrate LLMs into existing systems through APIs.

Kong AI allows businesses to access multiple LLMs and seamlessly integrate them into their workflows, offering greater flexibility and scalability compared to LiteLLM's more straightforward interface. The platform provides a normalized API layer that allows clients to consume multiple AI services from the same client code base.

Kong AI’s API-first design is especially advantageous for companies with complex IT ecosystems, as it enables the integration of LLMs across multiple platforms and applications.

Its focus on scalability ensures that large enterprises can grow their AI infrastructure without running into technical limitations. For businesses seeking advanced API integrations, Kong AI is a robust alternative to LiteLLM, which may be more suited to companies looking for a simpler, more direct model access.

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4. ORQ AI

ORQ AI combines LLM aggregation with predictive analytics to deliver a powerful solution for businesses looking to automate processes and predict future trends. While LiteLLM primarily offers access to LLMs, ORQ AI takes it a step further by combining AI models with machine learning capabilities to deliver actionable insights based on historical data.

This predictive power is especially beneficial for industries such as retail, finance, and logistics, where businesses need to forecast demand, manage inventory, or predict customer behavior.

ORQ AI’s ability to integrate LLMs with machine learning models for automation and predictive insights sets it apart from LiteLLM, which doesn't focus on such advanced analytics.

ORQ AI is ideal for businesses looking to not only automate their processes but also gain a competitive edge through data-driven decision-making.

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5. Unify

Unify is a platform that emphasizes collaboration between multiple LLMs to enhance business processes. While LiteLLM allows businesses to access individual models, Unify enables multiple models to work together seamlessly within a unified ecosystem.

Unify’s holistic approach to LLM integration ensures that businesses can streamline their workflows and avoid the complexities of managing different models in isolation.

The platform is especially beneficial for organizations with diverse language processing needs, as it enables different models to complement each other and work towards common objectives.

While LiteLLM focuses on providing access to individual models, Unify creates a more cohesive AI experience, making it an attractive option for businesses looking to simplify AI integration across their operations.

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6. OpenRouter

OpenRouter is an open-source alternative to LiteLLM, offering businesses full control over their LLM integration. Unlike Litellm’s proprietary solution, OpenRouter allows users to modify and customize the code to better suit their needs.

This makes it an excellent choice for organizations with in-house development teams looking for maximum flexibility.

The open-source nature of OpenRouter provides a level of customization that proprietary platforms like LiteLLM can’t match. However, it also requires a more hands-on approach, making it ideal for businesses that are technologically advanced and have the resources to maintain and optimize their AI infrastructure.

While LiteLLM offers a more straightforward solution, OpenRouter provides unparalleled customization for businesses that need it.

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Conclusion

While LiteLLM is a popular choice for LLM aggregation, platforms like Eden AI, Portkey, Kong AI, ORQ AI, Unify, and OpenRouter offer unique advantages that cater to specific business needs.

Eden AI, in particular, stands out for its unparalleled flexibility, multi-provider model, and ability to scale with businesses of all sizes. Its customization options, coupled with the ability to choose from a diverse set of LLMs as well as different technologies, make Eden AI an excellent choice for companies that want a versatile and adaptable AI solution.

Whether you need specialized data processing, predictive analytics, or unified model integration, these alternatives provide robust solutions that can help businesses unlock the full potential of LLM aggregation.