Who is LiteLLM best for?

LiteLLM is built for ML platform and GenAI enablement teams managing LLM access at scale, Backend and software engineers building multi-model LLM applications, DevOps and infrastructure engineers deploying self-hosted AI gateways, Enterprise AI/IT architects requiring spend governance and compliance controls. Common use cases include Platform/ML teams centralizing LLM access governance across an organization; Cost tracking and chargeback across teams, projects, and business units; Multi-provider LLM routing with automatic fallbacks for production reliability.

How is LiteLLM priced?

LiteLLM offers a free, open-source tier available via GitHub and PyPI that includes 100+ LLM provider integrations, virtual keys, budgets, load balancing, rate limiting, Langfuse/OpenTelemetry logging, and LLM guardrails. An Enterprise tier (cloud-hosted or self-hosted) adds JWT auth, SSO/SAML, audit logs, custom SLAs, enterprise support, and dedicated Slack/Discord support; pricing is not publicly listed and requires a direct inquiry or a 30-day trial request. The Enterprise tier is also available via AWS Marketplace under a private offer model.

What are the alternatives to LiteLLM?

Common AI/ML Infrastructure & LLM Tools alternatives to LiteLLM include Braintrust, LangChain, MLflow, Modal, Langfuse. See the full comparison hub at /verticals/aiml-infrastructure-llm-tools/compare.

What do users praise about LiteLLM?

Users frequently praise: Unified API across 100+ LLM providers in one interface; Drop-in OpenAI-compatible replacement — no code changes when switching models; Eliminates vendor lock-in across LLM providers; Caching and load balancing between multiple AI services; Clean integration with Langfuse for observability and prompt monitoring; Fast time-to-value and easy initial setup; Active open-source community with frequent releases.

What are common complaints about LiteLLM?

Frequently cited limitations: March 2026 supply chain attack on PyPI packages 1.82.7 and 1.82.8; Multiple security CVEs disclosed in 2026, including authentication bypass; Full observability requires separate third-party tools; Enterprise pricing is opaque and requires direct sales contact; High open GitHub issue count (~1,200 open issues); Occasional reliability and configuration complexity at enterprise scale.

When was LiteLLM founded and where?

LiteLLM was founded in 2023, headquartered in San Francisco, CA, USA by Krrish Dholakia, Ishaan Jaffer.

LiteLLM reports 10-19 employees.

AI visibility report

LiteLLM ranks #5 in AI/ML Infrastructure & LLM Tools AI search.

Outside the top three on 18 of the 25 prompts buyers actually ask.

LangChain is cited on 7 of those losses.

25 prompts

6 platforms

Updated Sep 28, 2026 - refreshed weekly

Track LiteLLM daily

14-day free trial. No card required. Setup comes pre-filled for LiteLLM.

Also benchmarked

LiteLLM appears in another vertical

LLM Observability Evals & Gateways

Track LiteLLM across these prompts daily.

Start your 14-day trial

5percent

Presence Rate

Low presence

#5 among 13 vendors · still absent from 95.3% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

#5of 13

Peer Ranking

#1#13

Mid-packin AI/ML Infrastructure & LLM Tools

Key Metrics

Presence Rate

4.7%

Share of Voice

13.0%

Avg Position

#4.4

Docs Presence

4.0%

Blog Presence

0.0%

Brand Mentions

0.0%

Platform Breakdown

Perplexity

16%4/25 prompts

ChatGPT

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

LiteLLM, built by BerriAI (Y Combinator W23, 2023), is an open-source AI gateway and Python SDK that provides a unified, OpenAI-compatible interface for calling 100+ large language model providers, including OpenAI, Anthropic, Azure, Google Vertex AI, AWS Bedrock, and more. Designed primarily for platform and ML infrastructure teams, it centralizes LLM access governance with virtual keys, spend tracking, rate limiting, load balancing, automatic fallbacks, guardrails, and an admin dashboard. It also serves as an MCP gateway and A2A agent gateway. With over 45,000 GitHub stars, 240 million Docker pulls, and more than one billion requests served, LiteLLM is used by organizations including Netflix, Adobe, Stripe, and Lemonade. Available as a free open-source project or an enterprise-grade self-hosted or cloud deployment with SSO, audit logs, and custom SLAs, it is headquartered in San Francisco.

AI visibility report

LiteLLM ranks #5 in AI/ML Infrastructure & LLM Tools AI search.

Outside the top three on 18 of the 25 prompts buyers actually ask.

LangChain is cited on 7 of those losses.

25 prompts

6 platforms

Updated Sep 28, 2026 - refreshed weekly

Track LiteLLM daily

14-day free trial. No card required. Setup comes pre-filled for LiteLLM.

Also benchmarked

LiteLLM appears in another vertical

LLM Observability Evals & Gateways

Track LiteLLM across these prompts daily.

Start your 14-day trial

5percent

Presence Rate

Low presence

#5 among 13 vendors · still absent from 95.3% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

#5of 13

Peer Ranking

#1#13

Mid-packin AI/ML Infrastructure & LLM Tools

Key Metrics

Presence Rate

4.7%

Share of Voice

13.0%

Avg Position

#4.4

Docs Presence

4.0%

Blog Presence

0.0%

Brand Mentions

0.0%

Platform Breakdown

Perplexity

16%4/25 prompts

ChatGPT

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Reviews

Praised

Unified API across 100+ LLM providers in one interface
Drop-in OpenAI-compatible replacement — no code changes when switching models
Eliminates vendor lock-in across LLM providers
Caching and load balancing between multiple AI services
Clean integration with Langfuse for observability and prompt monitoring
Fast time-to-value and easy initial setup
Active open-source community with frequent releases

Criticized

March 2026 supply chain attack on PyPI packages 1.82.7 and 1.82.8
Multiple security CVEs disclosed in 2026, including authentication bypass
Full observability requires separate third-party tools
Enterprise pricing is opaque and requires direct sales contact
High open GitHub issue count (~1,200 open issues)
Occasional reliability and configuration complexity at enterprise scale

LiteLLM has no scored reviews on G2 (unclaimed profile, 0 reviews as of April 2026). On Product Hunt, the tool earns consistently strong qualitative praise, with users and makers from companies including Budibase, JDoodle.ai, Crossnode, and Athina AI highlighting its ability to unify multi-provider LLM access, eliminate vendor lock-in, and integrate cleanly with observability tools like Langfuse. No negative product functionality reviews were identified on public platforms; however, the March 2026 supply chain incident generated substantial negative press coverage in the security community.

Prompt	ChatGPT	Bing Copilot	Perplexity	Google AI Mode	Gemini Search	Grok
Capability0/5 cited (0%)
Which AI observability tools are best at detecting prompt injection attempts and guardrail violations in production LLM apps?	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited
I'm evaluating managed LLM inference platforms versus self-hosted GPU instances for a high-traffic workload — what are the key trade-offs and what should I look at?

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos
1	Braintrust	11.3%	18.8%	0.0%	0.0%	15.3%	#4.7
2	LangChain	8.7%	21.0%	5.3%	0.0%	15.3%	#4.2
3	MLflow	6.7%	10.9%	0.0%	0.0%	12.0%	#3.7
4	Modal	5.3%	8.0%	0.7%	0.0%	0.0%	#3.5
5	LiteLLM	4.7%	13.0%	4.0%	0.0%	0.0%	#4.4
6	Langfuse	4.0%	10.1%	4.0%	0.0%	16.0%	#4.2
7	Weights & Biases	3.3%	5.1%	3.3%	0.0%	9.3%	#2.0
8	Fireworks AI	3.3%	5.1%	0.7%	1.3%	5.3%	#3.6
9	Replicate	2.0%	2.2%	2.0%	0.0%	4.7%	#4.7
10	Together AI	1.3%	1.4%	0.0%	0.7%	7.3%	#1.0
11	Helicone	1.3%	1.4%	0.7%	0.7%	6.7%	#5.0
12	Comet ML	1.3%	2.2%	0.0%	0.0%	2.7%	#5.7
13	Anyscale	0.7%	0.7%	0.7%	0.0%	0.7%	#3.0

Developer Experience0/5 cited (0%)
Which LLM observability platforms handle prompt versioning well — can you roll back to a previous prompt version and compare outputs side by side?	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited

Integrations & Ecosystem2/5 cited (40%)
Which AI/ML platforms have the best compliance story for SOC 2 and data residency — ensuring training data and model outputs stay in a specific region?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited

Performance & Reliability2/5 cited (40%)
Which managed LLM inference platforms handle cold starts well — is there a way to keep a model warm without paying for idle GPU time?	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

LiteLLM ranks #5 in AI/ML Infrastructure & LLM Tools AI search.

Key Metrics

Platform Breakdown

Overview

LiteLLM ranks #5 in AI/ML Infrastructure & LLM Tools AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and LiteLLM is not.

Where LiteLLM is winning4

Where LiteLLM is losing5

Key Facts

Key Capabilities10

Key Use Cases8

LiteLLM customer outcomes

Recent Trend

How AI describes LiteLLM3

Most cited sources8

Alternatives in AI/ML Infrastructure & LLM Tools6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

Setup & First Run1/5 cited (20%)
Which LLM orchestration frameworks are best for onboarding a software engineering team with no ML background — what's realistic for the first week?	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited

LiteLLM ranks #5 in AI/ML Infrastructure & LLM Tools AI search.

Key Metrics

Platform Breakdown

Overview

LiteLLM ranks #5 in AI/ML Infrastructure & LLM Tools AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and LiteLLM is not.

Where LiteLLM is winning4

Where LiteLLM is losing5

Key Facts

Key Capabilities10

Key Use Cases8

LiteLLM customer outcomes

Recent Trend

How AI describes LiteLLM3

Most cited sources8

Alternatives in AI/ML Infrastructure & LLM Tools6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does LiteLLM do?

Who is LiteLLM best for?

How is LiteLLM priced?

What are the alternatives to LiteLLM?

What do users praise about LiteLLM?

What are common complaints about LiteLLM?

When was LiteLLM founded and where?

How big is LiteLLM?