
LiteLLM
Claim this toolAn AI Gateway for unified access, cost tracking, and fallbacks across 100+ Large Language Models.
Free plan available, paid tiers aboveVisit WebsiteThe Bottom Line
- Price
- Free plan available, paid tiers above. Compare plans
Key facts
- Unified API for 100+ LLMs in OpenAI format.
- Comprehensive cost tracking, budgeting, and rate limiting.
- Ensures reliability with LLM fallbacks and observability.
Pros
- Simplifies access to a wide range of LLMs through a single API.
- Reduces development time by standardizing LLM interactions.
- Provides detailed cost tracking and management tools.
- Enhances reliability with automatic fallbacks.
- Offers both cloud and on-premise deployment options.
Cons
- Enterprise features like SSO and audit logs require a custom quote.
- Requires integration and setup, which might have a learning curve for new users.
What is LiteLLM?
Available on: Web
Key Features
- 100+ LLM Provider Integrations (OpenAI, Azure, Gemini, Bedrock, Anthropic, Hugging Face)
- OpenAI-Compatible API format
- Automatic Spend Tracking (across OpenAI/Azure/Bedrock/GCP etc.)
- Tag-based Spend Tracking
- Cost attribution to key/user/team/org
- Budgets & Rate Limits (RPM/TPM limits)
- LLM Fallbacks
- LLM Observability (Langfuse, Arize Phoenix, Langsmith, OTEL Logging)
Pricing Plans
Pricing checked Oct 4, 2026
| Plan | Price | Details |
|---|---|---|
| Open Source | $0 |
+3 more Show less
|
| Enterprise | Contact us |
+3 more Show less
|
Is LiteLLM worth the price?
LiteLLM's pricing is extremely generous, offering a fully-featured 'Open Source' tier for $0.
This makes it highly accessible for individual developers and small teams. The 'Enterprise' tier, with its 'Contact us' pricing, caters to larger organizations needing advanced features and support.
Reviews

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LiteLLM FAQ
How does LiteLLM simplify access to various Large Language Models?
Which teams would benefit most from using LiteLLM?
How does LiteLLM compare to OpenRouter for managing LLM access?
What kind of limitations should users consider when adopting LiteLLM?
How is LiteLLM priced?
Can LiteLLM help manage costs associated with LLM usage?
Does LiteLLM support on-premise deployments?
Source: litellm.ai