LiteLLM
LiteLLM: A complete open-source gateway for multi-provider routing, controls, and observability. Ranked #4 of 34 in LLM Gateway Software by our editors (8.8/10); pricing: Free plan · 30-day trial; best for teams wanting a complete open-source gateway.
At a glance
- Editor score8.8 / 10
- PricingFree plan · 30-day trial
- Best forTeams wanting a complete open-source gateway
- Free planYes
- Facts checked21 Sep 2026

Where it wins
- OpenAI-compatible API across 100+ providers
- Routing, retries, fallbacks, budgets, and rate limits
- Self-hosting with virtual keys and usage analytics
Where it doesn't
- Enterprise pricing is quote-based
- SSO and SCIM are part of the Enterprise edition
- The platform is geared toward teams managing multiple providers
Our verdict on LiteLLM
LiteLLM is an open-source LLM gateway and Python SDK for platform teams and developers managing access to multiple model providers. Its OpenAI-compatible API translates requests to provider endpoints, while routing, retries, fallbacks, virtual keys, budgets, rate limits, spend tracking, logging, and observability support shared model access. It is available through the web, API, and self-hosted deployments, with Docker, Helm, and Terraform options, including air-gapped deployments.
The Open Source plan is free forever and includes access to 100+ providers through one OpenAI API, virtual keys, users and teams, spend tracking, budgets, rate limits, LLM fallbacks, and request/response logging. Supported integrations include OpenAI, Anthropic, xAI, Vertex AI, NVIDIA, HuggingFace, Azure OpenAI, Ollama, OpenRouter, Novita AI, and Vercel AI Gateway. For teams operating several providers or deployments, provider and deployment routing, retry and fallback logic, Prometheus metrics, and observability callbacks provide a broad control layer without requiring a provider-specific interface.
Enterprise adds SSO and SCIM, OIDC/JWT authentication, audit logs, secret managers and key rotation, a multi-region control plane, 24/7 support, and SLAs. Its pricing is custom, so organizations should evaluate the governance and support requirements alongside the free forever Open Source plan. LiteLLM fits teams that want self-hosted control, centralized usage management, and routing across multiple LLM providers. Teams seeking only a direct connection to one provider may find its gateway, access-control, and operational features broader than necessary.
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LiteLLM pricing
All 2 LiteLLM plans and prices →
LiteLLM fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Provider count | Not verified |
| Fallback routing | Yes |
| Usage analytics | Yes |
| Self-hosted deployment | Yes |
| Budget controls | Yes |
| Virtual API keys | Yes |
| Free trial | 30 days · no card needed |
| Deployment | Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001 |
| Support | Community, Docs · 24/7 |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 11 integrations: OpenAI, Anthropic, xAI, Vertex AI, NVIDIA, HuggingFace … |
| Pricing | Free plan · 30-day trial (source) |
| Website | litellm.ai |
| Facts checked | 21 Sep 2026 |
LiteLLM integrations
LiteLLM lists 11 integrations on its own site.
- OpenAI
- Anthropic
- xAI
- Vertex AI
- NVIDIA
- HuggingFace
- Azure OpenAI
- Ollama
- OpenRouter
- Novita AI
- Vercel AI Gateway
Alternatives to LiteLLM
- OpenRouterA broad LLM gateway for teams that need model choice without separate integrations.9.2
- Cloudflare AI GatewayA free managed gateway for routing, monitoring, and governing multi-provider AI traffic.9.1
- Alibaba Cloud AI GatewayA broad AI gateway for enterprises standardizing LLM, agent, and MCP traffic.9.0
See all LiteLLM alternatives →
LiteLLM vs the competition
- LiteLLM vs OpenRouter
- LiteLLM vs Cloudflare AI Gateway
- LiteLLM vs Alibaba Cloud AI Gateway
- LiteLLM vs Prisma AIRS AI Gateway
- LiteLLM vs Apache APISIX
- LiteLLM vs Kong AI Gateway
Compare LiteLLM with any tool side by side →
Also Ranked In
LiteLLM is ranked in 4 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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