LiteLLM vs Vercel AI Gateway: Which in 2026?
By API7.ai Team
Last updated: June 2026
LiteLLM and Vercel AI Gateway both put one API in front of many LLM providers, but they take opposite paths: LiteLLM is a self-hosted open-source proxy you run yourself, while Vercel AI Gateway is a fully managed service. This guide compares them on architecture, routing, caching, guardrails, budgets, MCP, self-hosting, and pricing so you can choose the right fit.
LiteLLM is an open-source Python SDK and proxy you self-host in your own infrastructure, with semantic caching, OSS budgets and virtual keys, and an MCP gateway. Vercel AI Gateway is a zero-ops managed SaaS with hundreds of models behind one key, best on Vercel and Next.js, but not self-hostable and without native guardrails or a semantic cache. The core axis is self-hosted open source versus a fully managed service.
- Teams that must self-host and keep data in-network: LiteLLM
- Vercel/Next.js teams wanting zero ops: Vercel AI Gateway
LiteLLM vs Vercel AI Gateway at a glance
LiteLLM is self-hosted open source with semantic caching, OSS budgets, and an MCP gateway; Vercel AI Gateway is a zero-ops managed service, strongest on Vercel and Next.js. Neither offers semantic routing or ensemble.
| Dimension | LiteLLM | Vercel |
|---|---|---|
| Best for | Self-hosted open source | Zero-ops managed on Vercel |
| Core & runtime | Python (SDK + proxy) | Managed SaaS endpoint |
| License | MIT core + commercial enterprise/ | Proprietary |
| Provider coverage | 100+ providers | Hundreds of models / ~45 providers |
| Semantic routing | — Not documented | — Not documented |
| Ensemble / fusion | — Not documented | — Not documented |
| Caching | ✓ Exact + semantic | ✓ Prompt only (no semantic) |
| Guardrails | ✓ PII + hooks (OSS) | — None native |
| MCP gateway | ✓ In open source | — Platform/SDK, not the gateway |
| Self-host / VPC | Docker/K8s/Terraform in your infra | — Not self-hostable |
What is LiteLLM?
LiteLLM is an open-source Python SDK and proxy that exposes 100+ LLM providers through one OpenAI-compatible API, self-hosted in your own infrastructure with budgets and virtual keys in open source.
LiteLLM is an open-source Python SDK and proxy server that exposes 100+ LLM providers through one OpenAI-compatible API. Its core is MIT-licensed and self-hosted in your own infrastructure, with a paid Enterprise tier for identity, audit, and advanced guardrail features.
Language
Python
License
MIT (core) + commercial enterprise/
Form factor
Self-hosted SDK + proxy
Best for
Self-hosted, data-in-your-network setups
Pros
- Self-hosted via Docker, Kubernetes (Helm), or Terraform
- Broad provider coverage (100+) in OpenAI format
- Exact and semantic caching in open source
- Virtual keys, budgets, and an MCP gateway in open source
Cons
- You run and operate it yourself (no packaged managed service)
- Key & budget features require a PostgreSQL database
- No semantic routing or ensemble per its own routing docs
- Larger SSO, SCIM, and audit logs are paid Enterprise
What is Vercel AI Gateway?
Vercel AI Gateway is a proprietary, fully managed SaaS that puts hundreds of models across ~45 providers behind one key and endpoint, with zero-ops setup and tight Vercel/Next.js integration.
Vercel AI Gateway is a proprietary, fully managed SaaS that puts hundreds of models across roughly 45 providers behind one key and endpoint. It is zero-ops and tightly integrated with Vercel and Next.js, but it is not self-hostable and routes traffic through Vercel.
Runtime
Managed SaaS (hosted endpoint)
License
Proprietary
Form factor
Fully managed service
Best for
Vercel/Next.js teams wanting zero ops
Pros
- Zero-ops managed setup; nothing to run yourself
- Hundreds of models across ~45 providers behind one key
- Built-in usage/spend dashboard and budgets
- BYOK with no token markup; tight Vercel/Next.js DX
Cons
- Not self-hostable; traffic routes through Vercel (no in-VPC option)
- No native guardrails and no semantic cache
- MCP is a platform/SDK feature, not part of the gateway
- No semantic routing or ensemble
LiteLLM vs Vercel AI Gateway: feature comparison
The two converge on multi-provider routing basics, fallbacks, and retries, then diverge on form factor (self-hosted proxy vs managed SaaS), caching depth, guardrails, and whether you can run it in your own network.
| Feature | LiteLLM | Vercel |
|---|---|---|
| Core & runtime | Open-source Python; ships as an SDK and a proxy; key & budget features need PostgreSQL | Proprietary managed SaaS reached at ai-gateway.vercel.sh/v1; traffic routes through Vercel |
| Provider coverage | 100+ providers in OpenAI format | Hundreds of models across ~45 providers, one key |
| Routing | Simple-shuffle, latency, least-busy, rate-limit-aware, cost-based, custom; fallbacks & retries | Provider ordering/filtering (sort by cost/latency/throughput), per-provider timeouts, model fallbacks, auto-retry |
| Semantic routing | — Not documented | — Not documented |
| Ensemble / fusion | — Not documented | — Not documented |
| Caching | Exact + semantic caching (Qdrant, Redis, Valkey) | Prompt/automatic caching only — no semantic cache |
| Guardrails | Presidio PII + hooks in OSS; moderation, prompt-injection & per-key scoping are Enterprise | No native guardrails; a moderation model is callable and Bedrock guardrails pass through |
| Budgets & spend | Virtual keys, per-key/user/team budgets, spend tracking in OSS (needs PostgreSQL) | Built-in usage/spend dashboard and budgets; BYOK with no token markup |
| MCP gateway | ✓ In OSS (access control by key/team) | — MCP is a platform/SDK feature, not the gateway |
| Self-host / VPC | Docker, Kubernetes (Helm), Terraform in your own infra | — Not self-hostable; no in-VPC or data-residency option |
| Enterprise identity | SSO free up to 5 users; larger SSO, SCIM & audit logs are Enterprise | SAML SSO as a Pro add-on; SSO/SCIM via Vercel Enterprise |
| Developer experience | Python-first SDK plus a self-run proxy | Tight Vercel/Next.js DX; zero-ops managed setup |
Pricing comparison
One is a free, self-hosted open-source core with a paid Enterprise tier; the other is a managed service billed through your Vercel plan.
LiteLLM's core is free and MIT-licensed, including the proxy with virtual keys, budgets, spend tracking, and semantic caching — you run it yourself, so your costs are the infrastructure and (for key and budget features) a PostgreSQL database. Its Enterprise license (custom-priced) adds larger SSO, SCIM, audit logs, and enterprise guardrails. Vercel AI Gateway is a managed service billed through your Vercel account: it supports BYOK with no token markup, and SSO/SCIM come via Vercel Enterprise (SAML SSO is also available as a Pro add-on). In short, LiteLLM trades operational effort for an open-source core you host, while Vercel trades self-hosting for a zero-ops managed experience.
When to use LiteLLM vs Vercel AI Gateway
Choose LiteLLM to self-host an open-source proxy in your own network; choose Vercel AI Gateway for a zero-ops managed service, especially on Vercel and Next.js.
Choose LiteLLM if you…
- Want to self-host and keep data inside your own network
- Want a Python SDK as well as a proxy
- Want OSS budgets, virtual keys, semantic caching, and an MCP gateway
- Need the widest provider list behind one OpenAI-compatible API
Choose Vercel AI Gateway if you…
- Want a zero-ops managed service with nothing to run
- Are building on Vercel or Next.js and want tight DX
- Want hundreds of models instantly behind one key
- Prefer BYOK with no token markup and built-in spend tracking
Bottom line
Choose LiteLLM for a self-hosted, open-source proxy with semantic caching, OSS budgets, and an MCP gateway; choose Vercel AI Gateway for a zero-ops managed service that shines on Vercel and Next.js.
If you need to self-host, keep data inside your own network, and want semantic caching, OSS budgets and virtual keys, and an MCP gateway in the open-source build, LiteLLM is the stronger pick. If you want a zero-ops managed service with hundreds of models behind one key — and you're building on Vercel or Next.js — Vercel AI Gateway fits better. If you're weighing self-hosted open-source gateways more broadly, AISIX is another option: a Rust, Apache-2.0 gateway with semantic routing and ensemble in its open-source core, deployable in your own VPC. See all AI gateway comparisons.
Frequently asked questions
Related comparisons
Portkey vs LiteLLM · AISIX vs LiteLLM · All AI gateway comparisons
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