OpenRouter vs Hugging Face Inference Providers
The question that decides it: Is every model you need open-weight, and are you willing to bring your own guardrails, cache and compliance story to save the credit fee?
Our verdict
An open-weight-only workload where you already run your own safety and observability layer: Hugging Face Inference Providers, because the routing layer is free and the default data posture is the stronger of the two. Anything that touches Anthropic, OpenAI or Google models, or that needs gateway-side guardrails, batch, or a compliance statement made about the gateway itself: OpenRouter, and treat the 5.5% as what those things cost.
Why
The fee shapes differ at the root, and Hugging Face wins that comparison outright. Both publish 0% token markup. OpenRouter then takes 5.5% when you buy credits, with a $0.80 minimum, so a $5 top-up costs $5.80. Hugging Face states the position four times across its docs — "Hugging Face charges you the same rates as the provider, with no additional fees. We just pass through the provider costs directly" — and its BYOK mode, the Custom Provider Key, keeps HF routing while the provider bills you and Hugging Face charges nothing for the call. One honest caveat on the arithmetic: no credit-purchase fee is documented anywhere on the Inference Providers pricing page, the Hub billing FAQ or the Hugging Face pricing page, so the record leaves that field unset rather than recording a confirmed zero. OpenRouter's BYOK, by contrast, is free only up to $25,000 a month of list-price inference on pay-as-you-go, or $200,000 on Enterprise, then costs 5%.
Catalogue is where the trade actually lives, and it is not a close-run thing. OpenRouter lists 80+ providers on its pricing page, "83 of 83" on its providers directory, and a live models call on 2026-08-29 returned 396 entries across 58 creator prefixes against a 500+ marketing figure. Hugging Face counts 18 partners on its docs index, of which 15 carry the chat-completion mark and 14 appeared in the live public router catalogue on 2026-09-03; its own headline is "200+ models" while the router returned 136 chat-completion models the same day. More decisive than any of those numbers: the catalogue is open-weight only. Anthropic is not one of the 18 partners, and no Anthropic Messages surface exists. If one route in your application calls Claude, GPT or Gemini, this pair is already decided and the fee never enters it.
What the 5.5% buys is a control surface, and this is the part a price comparison hides. OpenRouter documents a DLP scanner with 7 built-in sensitive-data types backed by regex plus Microsoft Presidio, prompt-injection detection over 30+ patterns mapped to OWASP LLM risks, per-type Flag, Redact and Block actions where Block returns a 403 before the model is called, model and provider allowlists, and a batch API at /api/beta/batches with a 24-hour window. Hugging Face has none of that: no PII redaction, no injection detection, no moderation, no model policy for callers, no cache of its own, no prompt management, no batch endpoint, and no user-settable timeout, retry, weight or region anywhere in the docs. Its reliability surface is entirely HF-operated and genuinely good at what it does — every mapped model is tested every 6 hours against a sub-5-second time-to-first-token admission bar, failing providers are removed and retested hourly, and provider="auto" falls through automatically — but it is operated, not configured. The routing policy you get is a suffix on the model id: :fastest, :cheapest, :preferred, or an explicit provider pin. Neither side documents OpenTelemetry or trace export, so that gap is shared.
The compliance picture needs reading carefully rather than scoring. OpenRouter asserts SOC 2 Type II and GDPR compatibility on its enterprise page, offers EU and US in-region routing at eu.openrouter.ai and us.openrouter.ai for enterprise accounts on request, and applies zero data retention on all accounts with no plan gate. Hugging Face's SOC 2, GDPR, BAA and EU-residency fields are blank, and that blank does not mean no: SOC 2 Type 2 is asserted for the Hub "which Inference Providers is a feature of", and BAAs and DPAs are offered through an Enterprise Hub plan. Those are statements about the Hub and the company, not about the router, and no Inference-Providers-specific attestation exists. Two things do count against Hugging Face here: routed inference has no published region control, and the company subprocessor list does not name any of the 18 partners your prompts are actually sent to. One thing counts firmly for it — "We do not store the request body or response when routing requests through Hugging Face", stated unconditionally, with 30-day debugging logs holding no user data, on every account and at no price. That is a better default than an enterprise conversation.
Which one, concretely
Choose OpenRouter if
- Any part of your workload runs on Anthropic, OpenAI or Google models — Hugging Face has none of them, and no Anthropic Messages surface
- You want gateway-side guardrails: a 7-type DLP scanner with Presidio, 30+ injection patterns mapped to OWASP, and Block returning 403 before the model is called
- You need a batch API, a hosted MCP server at mcp.openrouter.ai/mcp, or first-party SDKs in TypeScript, Python and Go
- You need SOC 2 and GDPR asserted about the gateway you are calling, plus EU or US in-region routing on request
Choose Hugging Face Inference Providers if
- Every model you call is open-weight, and you want provider rates passed straight through with no markup and no documented credit fee
- Zero retention of request bodies and responses on every account with no plan gate, no contract and no exception for the beta Responses API
- You would rather not configure routing at all: provider="auto", 6-hourly validation of every mapped model, automatic failover, and policy as a one-string suffix
- BYOK that keeps HF routing while the provider bills you, with no Hugging Face fee and no monthly list-price allowance to exhaust
What catches people out
- Hugging Face's free allowance is $0.10 of included credits a month on a signed-in free account ($2.00 on PRO, $2.00 per seat on Team and Enterprise), so any real evaluation needs a card. OpenRouter gives 25+ free models at 50 requests a day, rising to 1,000 after $10 of credit.
- Hugging Face's OpenAI compatibility covers chat completions and the beta Responses API only. Embeddings are the feature-extraction task, and image, video and speech run through InferenceClient or provider-native paths — a wholesale OpenAI swap only covers your chat traffic.
- hf-inference is both the router and one of its own 18 partners, and "as of July 2025 focuses mostly on CPU inference". There is also no Inference Providers component on status.huggingface.co and no product-specific changelog, so operational transparency is thinner than the engineering behind it.
- OpenRouter's record contradicts itself on guardrails: the DLP and injection scanners are documented in detail, while its capability flags record no guardrails and no PII redaction. Its BYOK docs also describe two different meters — a $25k list-price cost threshold and a 1M request threshold. Confirm both before planning around them. Stripe signed a definitive agreement to acquire OpenRouter on 19 August 2026, terms undisclosed with Reuters reporting slightly more than $8B; OpenRouter says name, product and roadmap continue unchanged.
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
4 of 17 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.
| Field | OpenRouter | Hugging Face Inference Providers |
|---|---|---|
| Ease of leaving Derived score, higher is easier | 64/100 Some work to leave | 52/88 Hard to leave |
| What kind of product Category | Managed marketplace | Managed marketplace |
| Who runs it Deployment model | Managed only | Managed only |
| Licence Licence | Proprietary | Proprietary |
| Models available Models available | 458 | 136 |
| Model providers reachable Upstream providers | ~83 | 14–18 |
| Markup on model prices Token markup | None | None |
| Fee to add funds Credit purchase fee | 5.5% | Not published |
| Monthly cost per person Seat fee | Not published | None |
| Can use your own provider accounts BYOK supported | Yes | Yes |
| Free tier Free tier | Free tier with 25+ free models and 50 free-model requests/day; 1,000/day after purchasing at least $10 in credits. | Included monthly credits: $0.10 for signed-in free accounts, $2.00 on PRO, and $2.00 per seat (pooled) on Team and Enterprise, all described as "subject to change". Free accounts must purchase credits to continue once the included amount is spent ([Pricing and Billing](https://huggingface.co/docs/inference-providers/pricing), 2026-09-03). |
| Content guardrails Content guardrails | No | Not published |
| Response caching Response caching | Yes | Not published |
| Automatic failover Automatic failover | Yes | Yes |
| Does not retain your data Zero data retention | Yes | Yes |
| How long they keep it Default content retention (days) | Nothing kept by default | 30 days |
| SOC 2 audited SOC 2 audited | Yes | Not published |
| Can keep data in the EU EU data residency | Yes | Not published |
for OpenRouter and for Hugging Face Inference Providers. Want more fields, or a third option in the mix? Open these two in the full comparison tool.
Common questions
Is Hugging Face Inference Providers really free to route through?
The routing layer is $0 and inference is billed at the upstream provider's own rate — Hugging Face states it charges the same rates as the provider with no additional fees. On credit purchases, no fee is documented either way, so treat it as unpublished rather than a confirmed zero. What you give up is not money: no guardrails, no cache, no prompt management, no tracing, no SLA, and no user-settable timeout, retry or region.
Which one has more models?
OpenRouter, comfortably. It lists 80+ providers on its pricing page and "83 of 83" on its directory, with a live models call returning 396 entries across 58 creator prefixes. Hugging Face counts 18 partners, 15 of them marked for chat completion, and its router returned 136 chat models on 2026-09-03 against a "200+" headline. The sharper difference is composition: Hugging Face is open-weight only, with no frontier proprietary models.
Is Hugging Face Inference Providers SOC 2 certified?
Not as a statement about the gateway. SOC 2 Type 2 is asserted for the Hugging Face Hub, "which Inference Providers is a feature of", and BAAs and DPAs are offered through an Enterprise Hub plan. No report, audit period, auditor or trust portal is named, and no Inference-Providers-specific attestation exists, so the field is left unset rather than recorded as no. OpenRouter asserts SOC 2 Type II and GDPR compatibility on its enterprise page.