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LiteLLM vs OpenRouter

Two gateway (many providers, one API) options for LLM API. When each fits, what it costs, who moves from one to the other, and what makers who chose it say.

LiteLLMGateway (many providers, one API)llms.txtMCP
OpenRouterGateway (many providers, one API)llms.txtIn Replit
Ask your AI about this, with this page as the source:ChatGPT ↗Claude ↗Perplexity ↗

Which fits you

Choose LiteLLM if
  • You want that routing and spend control but self-hosted, with keys and logs on your servers

Use it whenYou want keys and request data to stay on your infrastructure.

Trade-offYou deploy, monitor and upgrade it yourself; SSO and audit logs are in the paid enterprise tier.

Choose OpenRouter if
  • You want to try or mix many models with one key and one bill, and fall back when a provider is down

Use it whenYou want to compare models quickly or offer users a model picker.

Trade-offA fee on top of provider prices, and your traffic and data pass through a third party.

At a glance

LiteLLMOpenRouter
Used by21 makers' products · 97 open-source projects61 makers' products · 31 open-source projects
Downloads148.1M/wk2.1M/wk4.8× vs npm
PricingFree and open source to self-host; paid enterprise tier adds SSO, audit logs and support. · paid from Contact salesPay per token at provider prices plus a 5.5% fee on credits; 25+ free models with daily rate limits. · paid from Pay per token + 5.5% fee on credits
Free tierYesYes
Open sourceYes · self-hostableNo

What makers say

Makers on using it for LLM API, from Product Hunt and Starter Story interviews, each linked to the source. Products with a page of their own and fuller notes first.

On LiteLLM
We use LiteLLM mainly so we’re not tied to a single model provider. Makes it super easy to switch models or add fallbacks when running AI services for clients.
Crossnode, the makerSep 2026 ↗
LiteLLM is amazing and makes managing LLM clients incredibly easy. highly recommended for teams integrating multiple LLM providers in their system.
PandaProbe, the makerSep 2026 ↗
LiteLLM is amazing and makes managing LLM clients incredibly easy. highly recommended for teams integrating multiple LLM providers in their system.
PandaProbe Cloud, the makerSep 2026 ↗
13 more on the LiteLLM page →
On OpenRouter
Talespinner uses OpenRouter to allow for switching between different language models. They make it super easy to do this, because they offer one API format for all language models.
Talespinner, the makerSep 2026 ↗
OpenRouter made it seamless to integrate multiple LLMs with unified APIs. It played a key role in enabling flexible model orchestration and reliable responses in Codentis.
Codentis, the makerSep 2026 ↗
Big thanks to OpenRouter — it lets us route every AI generation to the right model effortlessly, which is what makes our AI email builder feel instant and smart.
EmailFlow.AI Agentic Newsletter Platform, the makerSep 2026 ↗
33 more on the OpenRouter page →

Loved and watch-outs

Themes that recur in makers' words and Hacker News comments, each linked to what it summarises.

LiteLLM
Most loved
  • One OpenAI-compatible API across providers lets teams switch or add models without rewriting application code. PHHN
  • Fallbacks, routing and model aliases let a single endpoint swap backends, including local models with cloud fallback. PHPH 2HNHN 2
  • Per-customer token spend and cost tracking is built in and is a main reason teams deploy it. PHHNHN 2
Watch-outs
  • The codebase and dependency tree are heavy, and the proxy can use gigabytes of memory. HNHN 2HN 3HN 4
  • The proxy adds noticeable latency compared with lighter Go or Rust gateways. HNHN 2HN 3HN 4
  • A supply-chain compromise of published LiteLLM versions exposed credentials in many CI pipelines. HNHN 2HN 3HN 4
On Product Hunt: 5.0★, 24 reviews · mentioned most: support for custom models
OpenRouter
Most loved
  • One API key and OpenAI-compatible endpoint reach hundreds of models from many providers. PH
  • Switching and comparing models is easy, which speeds up testing cost and quality. PH
  • Automatic fallbacks across providers improve uptime and route around rate limits. PH
Watch-outs
  • Quality varies by underlying provider, so users pin trusted providers to avoid degraded output. HNHN 2HN 3
  • Caching is less effective because requests can switch providers mid-session. HNHN 2HN 3
On Product Hunt: 5.0★, 48 reviews · mentioned most: multi-model AI access, quick model switching, seamless integration

Who uses each

LiteLLM21 makers' products
CamelAICrossnodeFumePandaProbePandaProbe CloudPingPromptQodo (formerly CodiumAI)StrixTruvaVamah.aiARBRAthina AI+9 more
OpenRouter61 makers' products
Actx0AI EmailyBreadcrumbChikitAICladoCodentisCrbonFreeEmailFlow.AI Agentic Newsletter PlatformFuserGuseImage Mateinvolve.me+49 more
Used by both — often one replacing the other, or each for a different part of the product
Budibase

What makers pair each with

With LiteLLM
Frontend Framework
Database
Transactional Email
Hosting
With OpenRouter
Transactional Email
Hosting
Frontend Framework
Payments

Neither quite right?

See the whole LLM API decision →
OpenAI APIModel providerThe broadest model lineup — text, images, speech, embeddings — and the largest ecosystem.
ClaudeModel providerCoding, long documents and agent-style tool use.vs OpenRouter →
Gemini APIModel providerVery long context and multimodal input, with a free tier to start.
GroqOpen models, hostedVery low-latency inference on open models, for real-time features.vs OpenRouter →
Mistral AIModel providerA European provider whose API covers chat, coding, OCR and speech models.
DeepSeekModel providerLow per-token prices on strong reasoning and coding models, with OpenAI- and Anthropic-format endpoints.