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Pick 2–5 published tools. Values come from our evidence-checked profiles — an em-dash means unknown, never “no”. Ranking rows reflect the current published methodology for the comparison context.
LiteLLM vs Cloudflare AI Gateway
Context: LLM Gateways & Model Routing Platforms · 25 rows
| Attribute | LiteLLMBerriAI | Cloudflare AI GatewayCloudflare |
|---|---|---|
| Identity · Taxonomy | ||
| Documentation | https://docs.litellm.ai/docs/ | https://developers.cloudflare.com/ai-gateway/ |
| Tags | llm-gateway, proxy, open-source, routing | llm-gateway, proxy, caching, rate-limiting, analytics |
| Platform · Deployment | ||
| Delivery model | self-hosted | SaaS |
| Pricing · Licensing | ||
| Free plan | true | true |
| Free trial | true | — |
| License model | open-source | — |
| Pricing model | free, custom | free, subscription, usage |
| Source repository | https://github.com/BerriAI/litellm | — |
| SPDX license IDs | MIT | — |
| Trial length | 30 | — |
| Features · Product · Fit | ||
| Core capabilities | Unified OpenAI-compatible API to 140+ LLM providers, Virtual keys with per-key, team, and org budgets, Auto routing, load balancing, and caching, Guardrails including PII masking and prompt injection protection, Usage analytics, spend tracking, and chargeback, Unified access for LLMs, agents, and MCP servers | Provider proxying for AI applications, Response caching, Rate limiting, Request retry and model fallback, Analytics for requests, tokens, and cost, Logging of requests and errors |
| Api · Integrations · Ecosystem | ||
| API available | true | true |
| CLI | true | — |
| Enterprise SSO | OIDC | — |
| Support · Docs · Services | ||
| Support channels | community, enterprise support | — |
| Audience · Use · Case | ||
| Best for | Platform and engineering teams that want to self-host one OpenAI-compatible gateway in front of many LLM providers, with budgets, routing, and guardrails. | Teams that want AI gateway controls such as caching, rate limits, analytics, and fallbacks across model providers, especially those already using Cloudflare. |
| Company-size fit | mid-market, enterprise | individual, SMB, mid-market, enterprise |
| Primary use cases | Central LLM gateway for AI applications, Spend tracking and chargeback across teams, Model routing and load balancing | Cost tracking for LLM usage, Rate limiting AI traffic, Caching model responses, Provider failover |
| Skill level | advanced | intermediate |
| Lifecycle · Versioning | ||
| Changelog/release notes | https://docs.litellm.ai/release_notes | — |
| Current version | v1.100.0 | — |
| Maintenance status | active | active |
| Vendor · Maintainer | ||
| Founded year | — | 2009 |
| Headquarters country | — | United States |
| Vendor type | commercial | commercial |
“—” means unknown (we never treat missing evidence as a negative). Cells reflect each value's current evidence state; superseded or stale values are excluded. Ranking rows are editorial assessments under the cited methodology version — see the LLM Gateways & Model Routing Platforms category for definitions.