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What is LiteLLM?
LiteLLM is a platform designed to simplify access to large language models (LLMs) by providing a unified gateway for over 100 LLM providers, including OpenAI, Azure, Anthropic, Bedrock, and Gemini. Built with support from Y Combinator, LiteLLM addresses the complexity of managing multiple LLMs by offering features such as spend tracking, rate limiting, prompt management, and model fallbacks, all in a consistent OpenAI-compatible format. It enables platform teams to easily grant developers access to various LLMs while tracking usage costs accurately across teams, users, and organizations. LiteLLM supports both cloud and on-premises deployments, making it flexible for different infrastructure needs. Its core capabilities include automatic spend attribution, logging integrations, and guardrails to ensure controlled and efficient LLM usage. This tool is ideal for engineering teams, platform developers, and enterprises looking to streamline LLM integration and management workflows.
AI Tool Review Summary
4.5/5
Reliable and consistent API responses
Developer-focused with clear API and dashboard
To provide unified, cost-tracked, and managed access to multiple large language models.
Supports integration with major cloud providers and on-prem deployments, fitting into developer and platform team workflows.
Open source core with enterprise paid plans and custom pricing.
Features
Features with the highest value for users are highlighted here.
Unified LLM access gateway
Automatic spend tracking
OpenAI-compatible API
Rate limiting and budgets
Prompt management
Fallbacks across multiple LLMs
On-premise and cloud deployment
Detailed usage observability
How It Works
Connect LLM Providers
Integrate multiple LLM APIs into LiteLLM using built-in connectors for providers like OpenAI, Azure, and Anthropic.
Configure Access and Budgets
Set up user keys, teams, budgets, and rate limits to control and monitor LLM usage.
Use Unified API
Developers call a single OpenAI-compatible API endpoint to access any connected LLM seamlessly.
Track Usage and Costs
Automatically log usage data, attribute spend to teams or users, and export logs to cloud storage for analysis.
Who Is It For?
Platform Engineers
Enterprise IT Teams
AI Developers
Startups
DevOps Teams
Product Managers
Data Scientists
Large Enterprises
AI Consultants
Cloud Architects
Pricing
Open Source
Access to 100+ LLM providers Basic spend tracking Rate limiting and guardrails Self-hosted or cloud deployment
Enterprise
All open source features Enterprise support and SLAs JWT Auth, SSO, audit logs Dedicated onboarding and custom integrations
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Pros & Cons
Pros
Simplifies multi-LLM integration with a single API. Accurate cost tracking and budget controls for teams.
Cons
May require technical expertise to deploy on-premise. Advanced enterprise features require custom pricing.
FAQs
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Rating
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Quick LiteLLM Comparision
Side-by-side with top alternatives in this category.
| Tool | Rating | Visits / mo | Global rank | Category rank | Engagement | Bounce | Top market | Starts at | Free tier | Integrations | Action |
|---|---|---|---|---|---|---|---|---|---|---|---|
LiteLLMAI Development Tools | 734.9K | #76,064 | — | 2m 19s2.3 pages | CN(21%)#13,036 | $0 | 1 | View | |||
deci.aiAI Development Tools | 631.0M | #47 | #4 | 6m 32s6.1 pages | US(20%)#70 | $0 | 1 | View | |||
FinGPTAI Development Tools | 631.0M | #47 | #4 | 6m 32s6.1 pages | US(20%)#70 | $0 | 1 | View | |||
Skywork-R1VAI Development Tools | 631.0M | #47 | #4 | 6m 32s6.1 pages | US(20%)#70 | $0 | 1 | View | |||
PocketPal AIAI Development Tools | 1.1B | — | — | 2m2.6 pages | US(15%) | $0 | 1 | View |
Analytics of LiteLLM
Website traffic and keyword analysis.
Monthly visits
734.94K
↓ -6.8% vs prior month
Avg. visit duration
00:02:18
M 4 2026 snapshot
Pages / visit
2.31
M 4 2026 snapshot
Bounce rate
46.53%
Lower is better
All traffic · Worldwide
Weekly estimate · Feb 1, 2026 – Apr 29, 2026
Peak week: 157.71K (Mar 1, 2026)Low week: 138.23K (Feb 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent
Release History
0 releases published
No releases yet.
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