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Litellm

Lightweight platform for serving and scaling AI models efficiently for developers.

Our take: It has become the default abstraction layer for LLM access: swap providers by changing a config value, not your code, and run it as a Python SDK or a self-hosted proxy with budgets and guardrails.

Best forDevelopers
ReviewedPricing: Paid
8.1 out of 105 criteria · see breakdown
Try LitellmFree OSS (MIT); Enterprise from $250/mo
The bottom line

The go-to open-source LLM gateway; free and unlimited to self-host, with paid Enterprise for SSO, audit logs and SLAs.

Our score

Reviewed by the Conversion Gems editorial team. Hover a facet to focus it; click to pin.Tap a facet to focus it.

What it is, and why we rate it

One line each. Open a row for detail.

What it really isAn open-source AI gateway that gives you one OpenAI-compatible API across 100+ LLM providers, with spend tracking, fallbacks, load balancing and virtual keys.
Our takeIt has become the default abstraction layer for LLM access: swap providers by changing a config value, not your code, and run it as a Python SDK or a self-hosted proxy with budgets and guardrails.
The open-source core is genuinely free and unlimited; governance for regulated teams (SSO/SAML, audit logs, SLAs) is the paid Enterprise tier.

Best / not good for

Best for
  • Platform teams giving many developers governed LLM access
  • Apps that need provider fallbacks and unified spend tracking
  • Teams wanting to switch LLMs without rewriting code
Not good for
  • Teams needing semantic caching out of the box (not in OSS)
  • Orgs wanting governance (SSO, audit logs) without a paid tier
  • Non-developers - it is infrastructure, not an app
Trade-offs

Friction report

Trade-offs to know before signing up.

  1. Time to value
    Fast for developers: import the SDK or deploy the proxy via Docker and route calls in OpenAI format right away.
  2. Scale breakpoint
    Self-hosting carries operational overhead, and regulated-scale features (SSO/SAML, audit logs, SLAs) require the paid Enterprise license.
  3. Walled garden
    Low lock-in - MIT core, OpenAI-compatible and provider-agnostic; only Enterprise features are proprietary.
Still a fit?
If none of these block you, start on the free plan.
Try Litellm

Frequently Asked Questions

How can Litellm assist with lightweight AI model management?

Litellm assists with lightweight AI model management by simplifying deployment and execution for smaller models.

How does Litellm help with lightweight AI model usage?

Litellm helps with lightweight AI model usage by providing efficient inference and deployment for smaller-scale applications.

How does Litellm assist with lightweight AI deployments?

Litellm assists with lightweight AI deployments, enabling fast model execution with minimal resource usage.

What is Litellm used for in AI model management?

Litellm is used for AI model management, versioning, and deployment control.

How does Litellm assist in managing and deploying AI models?

Litellm assists in managing and deploying AI models with monitoring, API serving, and scalable deployment tools.

Alternatives

  • Step up

    Portkey - a managed gateway with built-in semantic caching and deep observability.

  • Lighter alternative

    A single provider's official SDK if you only ever call one model.

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Tags

#LocalLLM#LLMTools#OpenSourceAI

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