Eden AI vs OpenRouter
The question that decides it: Is a meaningful share of your workload non-LLM — OCR, speech, document parsing — or is it all chat?
Our verdict
Any material amount of OCR, document parsing, speech or translation alongside your chat calls: Eden AI, because it is the only one of the two that has those models at all. An all-chat or agent workload: OpenRouter, for a deeper provider pool per model, a batch API, a hosted MCP server and first-party SDKs.
Why
Price is the wrong axis here, and unusually so. Both charge 5.5% when you buy credits and 0% on tokens, so provider list prices pass through in both cases. Both headline 500 models. Both bill $0 per seat. Both retain no prompt or completion content by default, keep metadata only, and state they do not train on customer data. Both offer BYOK, both let you pin an EU path, and neither has a semantic cache. The only price asymmetry either record shows is at the small end: OpenRouter's fee carries a $0.80 minimum, so a $5 top-up costs $5.80, and crypto purchases are 5% instead of 5.5%. Eden AI publishes no minimum. If you are choosing on the fee, you are choosing on nothing.
The 500 figures are not measuring the same thing. Eden AI's public, unauthenticated catalog returned 1,010 provider-model endpoints on 2026-09-02, collapsing to 488 distinct routable LLM names — plus a separate 221 expert-model entries across 36 subfeatures: OCR and document parsing for invoices, IDs, resumes and tables, speech-to-text and text-to-speech, translation, image analysis and generation, video generation, moderation and named-entity recognition. Those do not live on the chat endpoint. They are reached through POST /v3/universal-ai, with a different model-string grammar (feature/subfeature/provider), a unified status/cost/output envelope, no streaming, and no OpenAI-SDK compatibility. OpenRouter's catalogue is one thing done deeply: 80+ providers on the pricing page, "83 of 83" on the providers directory, and a live models call on 2026-08-29 returning 396 entries across 58 creator prefixes.
Follow that through and the LLM comparison inverts. Counted from Eden AI's own catalog, 33 distinct providers serve its LLMs, with a further 42 behind the expert models — so on chat alone you are weighing 33 serving providers against OpenRouter's 83. The agent tooling points the same way. OpenRouter documents a batch API at /api/beta/batches with a 24-hour window, a hosted MCP server at mcp.openrouter.ai/mcp, an Agent SDK, the official @openrouter/ai-sdk-provider package for the Vercel AI SDK, and first-party SDKs in TypeScript, Python and Go. Eden AI has no MCP surface anywhere in its documentation index, no batch endpoint, no Vercel AI SDK provider and no first-party SDK — integration is a base-URL swap on the official OpenAI SDKs, with LangChain the only documented Python framework. For a chat-and-tools product, Eden AI's expert half is weight you are not carrying anything with.
Two things do pull the other way, and both are structural rather than modal. BYOK: Eden AI publishes no surcharge for routing to your own provider keys at all, while OpenRouter's BYOK is free only up to $25,000 a month of list-price inference on pay-as-you-go, or $200,000 on Enterprise, then charges 5%. And residency: Eden AI is a French company headquartered in Lyon with EU-hosted infrastructure, a dedicated EU host at api.eu.edenai.run that exposes only EU-compatible providers and errors rather than routing outside the EU, and per-request region pinning with model@eu or model@us — all self-serve. OpenRouter's EU and US in-region routing is an enterprise feature granted on request. Governance is the third consideration: Stripe signed a definitive agreement to acquire OpenRouter on 19 August 2026, terms undisclosed with Reuters reporting slightly more than $8B, and OpenRouter says the name, product and roadmap continue unchanged. Nothing in either record contradicts that, but it is a change of owner mid-contract.
Which one, concretely
Choose Eden AI if
- Part of your pipeline is OCR, document parsing, speech or translation and you want it on one contract and one prepaid balance — 36 expert-model subfeatures
- EU residency without a sales conversation: an EU host that refuses to route outside the EU, plus per-request region pinning
- BYOK with no published surcharge and no monthly list-price allowance to blow through
- You want to price and capability-check before signing up — the model catalog is public and needs no API key
Choose OpenRouter if
- An all-chat workload wanting the deepest provider pool — 83 providers listed against the 33 serving Eden AI's LLMs
- You need a batch API, a hosted MCP server, or the official Vercel AI SDK provider package
- You want to test before paying: 25+ free models at 50 requests a day, rising to 1,000 after $10 of credit
- First-party SDKs in TypeScript, Python and Go rather than a base-URL swap on the OpenAI SDKs
What catches people out
- Eden AI's expert models are a second integration, not a parameter. Different endpoint, different model-string grammar, no streaming, results delivered whole or as async jobs you poll or receive by webhook, and not OpenAI-SDK compatible. Budget for that work rather than assuming one client covers both halves.
- Eden AI's own pages disagree with each other: 500+ models on the docs overview against 300+ on the quickstart, 50+ providers in the docs against 60+ on the company page, and rate limits stated as 7, 10 and 15 requests per second across three places. The dedicated page says every account starts at 10 req/s, shared across all API keys.
- OpenRouter's 5.5% credit fee has a $0.80 minimum, so buy credits in larger blocks; and its BYOK documentation describes two different meters — a $25k list-price cost threshold and a 1M request threshold. Confirm which applies before planning around it.
- Guardrails are the weakest-documented area on both sides. Eden AI's security page answers "yes" to guardrails but there is no guardrails page, parameter or example anywhere in its documentation index, so moderation is something you call yourself via /v3/moderations. OpenRouter's own record is internally inconsistent: a DLP and prompt-injection scanner with Flag, Redact and Block actions is documented, while its capability flags record no guardrails and no PII redaction. Neither offers a semantic cache.
Side by side
Interpret these fields: How much does an LLM gateway lock you in? · LLM gateway compliance: SOC 2, HIPAA and evidence · How LLM gateway failover actually works
3 of 18 fields differ, marked with a dot. Every figure links to the vendor page it came from. Blank values read Not published rather than No — silence from a vendor is not a negative answer.
for Eden AI and for OpenRouter. Want more fields, or a third option in the mix? Open these two in the full comparison tool.
Common questions
Which is cheaper, Eden AI or OpenRouter?
Neither, on the headline numbers. Both charge 5.5% on credit purchases and 0% markup on tokens, and both bill $0 per seat. The differences are at the edges: OpenRouter applies a $0.80 minimum to the credit fee, which makes small top-ups disproportionately expensive, and charges 5% rather than 5.5% on crypto purchases. Eden AI publishes no minimum. On BYOK, Eden AI publishes no surcharge while OpenRouter charges 5% above a monthly list-price allowance.
Do both really have 500 models?
Both claim it, and both claims need reading. Eden AI's 500+ covers two catalogues: 488 distinct routable LLM names plus 221 expert-model entries across 36 subfeatures on a separate endpoint, from a live catalog of 1,010 provider-model endpoints. OpenRouter's pricing page says 500+ while its docs models page says 400+ and a live models call returned 396 entries across 58 creator prefixes. For LLM work, provider depth is the more honest number: 33 against 83.
Can either one be self-hosted?
No. Both are managed-only, proprietary, hosted services, and every request transits the vendor before reaching the provider — including in BYOK mode, where only the billing relationship moves. Eden AI's Advanced plan mentions "private deployments" for specific compliance needs, but publishes no artifacts, architecture or pricing for it, so it is not a self-hosting statement. If you need a data plane you run, look at LiteLLM or Bifrost instead.