liteLLM
One library to standardize all LLM APIs
OpenRouter
Discover and use the latest LLMs with your own APIs
Updated February 2026
| liteLLM | OpenRouter | |
|---|---|---|
| Rating | 5.0★ | 5.0★ |
| Reviews | 17 | 23 |
| Pros | 8 | 14 |
| FactScore™ | 62.8 | 69 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in liteLLM — Pros
Support for custom models Caching and load balancing Easy provider switching OpenAI-compatible API Performance analysis integration Standardized API Unified interface for LLMs Versatile API callingBoth tools — Pros
—Only in OpenRouter — Pros
Multi-model AI access Quick model switching Seamless integration Test multiple models side-by-side Dev-friendly Easy to use Handle LLM traffic Inference provider On-demand AI access Single API for all models Test all available models Universal API key Usage dashboard Versatile AI platformOnly in liteLLM — Cons
—Both tools — Cons
—Only in OpenRouter — Cons
—Details
| liteLLM | OpenRouter | |
|---|---|---|
| Categories | Unified API, AI Infrastructure Tools | Unified API |
| Platforms | Web | Web |
| Became Popular | August 9, 2023 | January 30, 2026 |
| Website | github.com | openrouter.ai |
Who Should Pick Which?
Choose liteLLM if...
- Support for custom models
- Caching and load balancing
- Easy provider switching
Choose OpenRouter if...
- Multi-model AI access
- Quick model switching
- Seamless integration
With a FactScore™ of 62.8 vs 69, OpenRouter leads in community reception. liteLLM uniquely offers Support for custom models and Caching and load balancing, while OpenRouter stands out for Multi-model AI access and Quick model switching.
What Users Say
liteLLM
liteLLM is a must for working with different models. We use different models for different tasks and subtasks. With liteLLM the code stays exactly the same and we can just focus on choosing the rig...
Big fan of liteLLM: one API for OpenAI/Anthropic/Groq/etc. Makes multi-model stacks painless
I find myself recommending this library to serious LLM-powered app developers that are trying to standardize their codebase by unifying all the APIs they use. Love it!
OpenRouter
Shout-out to OpenRouter for giving us seamless multi-model access and letting us switch between AI providers like pros. Their API was a key enabler in testing performance across models and optimizi...
We use OpenRouter to optimize for maximum uptime for all of the third-party models that power Olive. We built Olive around many models across Anthropic, OpenAI, Google, including even open weight m...
Talespinner uses OpenRouter to allow for switching between different language models. They make it super easy to do this, because they offer one API format for all language models.
Related Comparisons
Frequently Asked Questions
Which is better, liteLLM or OpenRouter?
Based on FactScore™, OpenRouter leads with a score of 69 vs 62.8. OpenRouter has a higher rating of 5.0★ compared to 5.0★.
What are the pros of liteLLM compared to OpenRouter?
liteLLM uniquely offers: Support for custom models, Caching and load balancing, Easy provider switching, OpenAI-compatible API, Performance analysis integration.
What are the pros of OpenRouter compared to liteLLM?
OpenRouter uniquely offers: Multi-model AI access, Quick model switching, Seamless integration, Test multiple models side-by-side, Dev-friendly.
Is liteLLM better rated than OpenRouter?
liteLLM is rated 5.0★ from 17 reviews. OpenRouter is rated 5.0★ from 23 reviews.
What is the FactScore™ of liteLLM and OpenRouter?
FactScore™ weighs rating and review volume together. liteLLM scores 62.8 and OpenRouter scores 69.
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