LiteLLM
OpenAI-compatible AI gateway for 100+ LLMs with fallbacks and spend tracking
LiteLLM is the de facto open-source AI gateway for platform teams managing multi-provider LLM access at scale. Its cost tracking, fallbacks, and simplicity are unmatched. Skip it if you need agent orchestration or a fully managed cloud service.
Verified 17d ago · liveness 95/100 · cite: rightaichoice.com/tools/litellm
- Platform teams providing unified LLM access to developers
- Organizations needing cost tracking and chargebacks per team/org
- Multi-provider LLM deployments requiring fallback and load balancing
- Enterprises wanting an OpenAI-compatible drop-in replacement for custom models
- Single-provider only shops that don't need multi-model abstraction
- Projects requiring advanced prompt chaining or agent workflows
- Organizations needing a managed, no-ops cloud service
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Skip LiteLLM if you only use a single LLM provider and don't need unified access, cost tracking, or fallback logic.
Enterprise pricing starts at $5K/year, but final cost requires a sales call and may escalate based on usage volume.
LiteLLM's open-source tier is free and generous for small teams, but organizations with many developers and high throughput will likely need the Enterprise plan (from $5K/year). For smaller teams, direct API subscriptions may be cheaper; for large enterprises, the centralized control and cost attribution can justify the price. Competitors like Kong Konnect or Azure API Management may be more expensive for similar functionality.
In short
LiteLLM — OpenAI-compatible AI gateway for 100+ LLMs with fallbacks and spend tracking. Best for Platform teams providing unified LLM access to developers, Organizations needing cost tracking and chargebacks per team/org, Multi-provider LLM deployments requiring fallback and load balancing. Free to start; paid plans from $5/mo.
Viability Score
How likely is LiteLLM to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- OpenAI-compatible API for 100+ LLMs
- Automatic spend tracking across providers
- Cost attribution per key, user, team, org
- Tag-based spend tracking
- Log spend to S3 or GCS
- Budgets and rate limits (RPM/TPM)
- LLM fallbacks across providers with cooldowns
- Retries across deployments under same model name
- Virtual keys and teams management
- Prompt management and guardrails
- LLM observability via Langfuse, OpenTelemetry
- Load balancing across deployments
- Self-hosted deployment option
- Prometheus metrics integration
- Rust-based core for lower latency
About LiteLLM
LiteLLM is an open-source AI gateway that provides a unified OpenAI-compatible API to access over 100 language models from providers like OpenAI, Azure, Gemini, Bedrock, and Anthropic. Built for platform teams, it simplifies model access, spend tracking, and fallback logic across multiple LLMs without requiring code changes. Key features include automatic cost attribution per key/user/team/org, budget and rate limit enforcement (RPM/TPM), provider-level fallbacks with cooldowns and retries, prompt management, guardrails, and observability via Langfuse, Arize Phoenix, Langsmith, and OpenTelemetry. Its core is being migrated to Rust for improved latency and throughput. LiteLLM has served over 1 billion requests and is trusted by Netflix and Lemonade. It offers a free self-hosted open-source version with an enterprise tier starting at $5K/year that adds SSO, audit logs, and air-gapped deployment. Compared to Portkey or Helicone, LiteLLM is a lightweight, self-hostable proxy with deep provider integration and minimal overhead.
Behind the Verdict
LiteLLM hits the sweet spot for platform teams that need to give developers access to dozens of LLMs without vendor lock-in. Its OpenAI-compatible proxy means teams can swap providers or add fallbacks without touching code — a huge time saver when a model goes down or pricing shifts. The cost attribution and budget controls are genuinely useful for chargebacks and preventing runaway spend. The enterprise tier ($5K/year) adds SSO and audit logs, making it viable for regulated environments. However, it's not a no-ops solution: you'll need to self-host the proxy, manage databases, and handle scaling. If you want a managed cloud service, Portkey or Helicone may be better bets. The Rust migration is promising but still in progress, so early adopters may encounter instability. For teams with DevOps resources and a multi-provider strategy, LiteLLM is the most flexible and cost-effective gateway available.
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Real-world workflow fit
Concrete scenarios for the personas LiteLLM actually fits — and what changes day-one when you adopt it.
You need to give your 10 engineers access to GPT-4, Claude, and Gemini while tracking costs per project. LiteLLM lets you issue virtual keys per project with budgets and rate limits, and automatically logs spend to a central bucket.
Outcome: Engineers get instant access without managing multiple API keys. You see per-project cost breakdowns in a dashboard, and can set monthly limits to prevent budget overruns.
Your company has a mix of OpenAI and Azure OpenAI deployments. You want to fall back to Azure if OpenAI is down, but don't want to change code. LiteLLM's proxy handles fallback and retry logic automatically.
Outcome: Developers code to one OpenAI-compatible endpoint. LiteLLM routes requests to the active provider, and switches during outages with zero downtime. Load balancing ensures optimal usage of both deployments.
You need to audit all LLM calls and ensure no sensitive data leaks. LiteLLM provides audit logs via OpenTelemetry and can be self-hosted behind your VPN for compliance.
Outcome: Every request and response is logged and traceable. RBAC on virtual keys ensures only authorized models are accessible. Self-hosting keeps data within your infrastructure.
Use Cases
- Centralize LLM access with virtual API keys for every team in the organization.
- Add automatic fallback from OpenAI to Azure OpenAI during outages with zero code changes.
- Track per-team LLM cost and enforce monthly budgets without writing billing code.
- Run a local Ollama model behind an OpenAI-compatible endpoint for rapid prototyping.
- Migrate existing projects to the proxy using pass-through endpoints without translation.
Models Under the Hood
as of 2026-07-06
Limitations
- The proxy adds a network hop, increasing latency for every request.
- Configuration YAML can grow complex for large orgs with many routing rules.
- New provider-specific features (e.g., beta response formats) may lag behind direct API usage.
- A recent SQL injection vulnerability (CVE-2024-XXXX) required urgent patching — teams must stay current.
- Prompt caching misconfiguration can lead to unexpected cost spikes (e.g., a reported $38K AWS Bedrock bill).
- Enterprise pricing is not public and requires a sales call.
as of 2026-06-26
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published LiteLLM tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
$0/mo
Ideal for
Small to medium teams or startups needing free unlimited access to 100+ LLM integrations with basic cost tracking and guardrails.
What this tier adds
Starting tier: free entry point with 100+ LLM integrations, virtual keys, budgets, load balancing, and LLM guardrails.
Enterprise
From $5K/year
Ideal for
Large organizations requiring SSO, audit logs, custom SLAs, and support for many developers and projects.
What this tier adds
Adds JWT auth, SSO, audit logs, enterprise support with custom SLAs, and cloud or self-hosted deployment to the Open Source features.
Where the pricing makes sense
The company stage and team size where LiteLLM's pricing actually pencils out — and where peers do it cheaper.
LiteLLM's open-source tier is free and generous for small teams, but organizations with many developers and high throughput will likely need the Enterprise plan (from $5K/year). For smaller teams, direct API subscriptions may be cheaper; for large enterprises, the centralized control and cost attribution can justify the price. Competitors like Kong Konnect or Azure API Management may be more expensive for similar functionality.
Setup time & first value
How long it actually takes to get something useful out of LiteLLM — broken out by persona, not the marketing-page minute.
For a platform engineer: installing the proxy via Docker takes about 10 minutes. Configuring YAML for provider keys, routing rules, and budgets can take 30-60 minutes for initial setup. Integrating with existing CI/CD and issuing virtual keys to developers takes another hour. Full rollout to a team of 10 can be done in half a day.
Switching to or from LiteLLM
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From direct API usage: Replace your base URL with the LiteLLM proxy endpoint and restart your app. No code changes needed if you already use the OpenAI client.
- ↗To direct API: Reverse the proxy by pointing your OpenAI client directly to the provider's endpoint. You'll lose central cost tracking and fallbacks.
- ↗To Kong Konnect: Export your routing rules and recreate them as Kong services. You may need to adapt OpenAI-specific headers.
Integrations
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