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LiteLLM vs LLM Gateway

Learn how LiteLLM and LLM Gateway differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai gateways is best for you.

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Favicon of LiteLLM

LiteLLM

AI
Acts as a unified proxy across 100+ LLMs, normalizing them to the OpenAI format while handling virtual keys, budgets, rate limits, fallbacks, and cost tracking.
61,627stars+2,389(+4%)

Last 30 days

  • Last commit


    2 hours ago
  • Repository age


    3 years
  • Version


    v1.106.0
  • Self-hosted


    Yes
  • Repository


    berriai/litellm
Screenshot of LiteLLM
Favicon of LLM Gateway

LLM Gateway

AI
Route, manage, and analyze LLM requests across multiple providers with one API. Compatible with OpenAI format, includes usage analytics and performance monitoring.
1,694stars+44(+2.7%)

Last 30 days

Screenshot of LLM Gateway

Detailed Comparison

LiteLLM appears to have several advantages over LLM Gateway, particularly in popularity, growth and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

LiteLLM wins
Community & Popularity

LiteLLM significantly outpaces LLM Gateway in community adoption with 61,627 stars compared to 1,694 stars on GitHub. This 36.4x difference suggests LiteLLM has a much larger and more active community. In terms of developer contributions, LiteLLM has 12,497 forks, indicating strong developer engagement.

LiteLLM wins
Growth Momentum

LiteLLM is growing faster, adding 2,389 stars in the last 30 days (+4%) against adding 44 stars for LLM Gateway (+2.7%). LiteLLM is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with LiteLLM last updated 2 hours ago and LLM Gateway 15 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: LiteLLM uses Python.

LiteLLM wins
Project Maturity

LiteLLM has been in development longer, starting 3 years ago, compared to LLM Gateway which began 2 years ago. This 1.7-year head start suggests LiteLLM may have more mature features and established processes.

LLM Gateway wins
Licensing

LLM Gateway is licensed under MIT, while LiteLLM's license terms are not publicly specified.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Gateways.

Comparable
Hosting & Deployment

Both LiteLLM and LLM Gateway offer self-hosting capabilities, giving you full control over your data and infrastructure.