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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.
Vercel AI Gateway vs LiteLLM
Context: LLM Gateways & Model Routing Platforms · 25 rows
| Attribute | Vercel AI GatewayVercel | LiteLLMBerriAI |
|---|---|---|
| Identity · Taxonomy | ||
| Documentation | https://vercel.com/docs/ai-gateway | https://docs.litellm.ai/docs/ |
| Tags | llm-gateway, model-routing, developer-tools, ai | llm-gateway, proxy, open-source, routing |
| Platform · Deployment | ||
| Delivery model | SaaS | self-hosted |
| Pricing · Licensing | ||
| Free plan | — | true |
| Free trial | — | true |
| License model | — | open-source |
| Pricing model | usage | free, custom |
| Source repository | — | https://github.com/BerriAI/litellm |
| SPDX license IDs | — | MIT |
| Trial length | — | 30 |
| Features · Product · Fit | ||
| Core capabilities | One API for hundreds of models across providers, Routing by cost, latency, or availability, Automatic provider failover, Usage, spend, and latency dashboards, Budgets and quotas per team, project, and key, BYOK with zero data retention routing | 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 |
| 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 | Developers and teams that want access to many models at provider list prices through one key, with routing, failover, and usage analytics. | Platform and engineering teams that want to self-host one OpenAI-compatible gateway in front of many LLM providers, with budgets, routing, and guardrails. |
| Company-size fit | individual, SMB, mid-market, enterprise | mid-market, enterprise |
| Primary use cases | Multi-provider LLM access for apps and agents, LLM cost optimization, Model backends for coding agents | Central LLM gateway for AI applications, Spend tracking and chargeback across teams, Model routing and load balancing |
| Skill level | intermediate | advanced |
| Lifecycle · Versioning | ||
| Changelog/release notes | https://vercel.com/changelog | https://docs.litellm.ai/release_notes |
| Current version | — | v1.100.0 |
| Maintenance status | active | active |
| Vendor · Maintainer | ||
| Founded year | 2015 | — |
| 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.