OpenRouter: our review
OpenRouter hosts no model of its own: it's a router that gives access to more than 400 models from dozens of vendors (OpenAI, Anthropic, Google, Mistral, open models...) behind a single API, with automatic switching between providers. Useful for a technical team that wants to compare or combine models without multiplying accounts.
What we take away from it
What counts in its favor
- A single account and a single API key open more than 400 models across more than 70 providers, with automatic switching if one goes down or becomes more expensive.
- Each request can exclude providers that allow themselves to train on the data (data_collection: deny parameter) or require zero retention (zdr: true) — a fine-grained control, documented request by request.
- A real free tier gives access to more than 25 models, up to 50 requests per day, with no credit card and no commitment.
What counts against it
- OpenRouter charges 5.5 % of the amount of each request on top of the chosen provider's rate: on a large volume, this commission weighs more than a direct contract with the model's vendor.
- Privacy depends on the selected provider, not on OpenRouter alone: the company states it does not use prompts for training, but forwards each request to the chosen provider, which has its own policy.
- Fully European processing exists only in the Enterprise plan: by default, data can be transferred to OpenRouter's US servers and outside the European Economic Area.
A good choice for a technical team that wants to compare models without multiplying integrations, provided it checks the data policy provider by provider and counts the 5.5 % commission into the budget.
The facts
- Data hosting
- Data in the United States · source
- Categories
- Platforms and APIs
- Data verified on
- 30 July 2026
What happens to your data
- Is your data used to train their models?
- Depends on the plan, or an option you can turn off
- Subprocessors
- OpenRouter forwards each request to the chosen model provider ("Model Provider"), which effectively becomes the actual sub-processor: the documentation points to a routing page listing, per provider, its retention policy (zero retention or possible training). The data_collection parameter (allow/deny) and the zdr option allow a request to be restricted to providers that neither retain nor train on the data.
- Retention
- Account data is kept "as long as necessary" according to the privacy policy; image, audio and video files submitted for inference are not kept beyond processing the request, except for abuse, security, billing or legal obligation reasons.
OpenRouter in detail
OpenRouter doesn't build or host any model itself. The company builds a routing layer: a single API key gives access to more than 400 models published by dozens of publishers — OpenAI, Anthropic, Google, Mistral, and a long list of open models — spread across more than 70 inference providers. It's a product for technical teams, designed to avoid managing a separate account and bill per model publisher.
A router, not a host
In practice, a request sent to OpenRouter is routed to the chosen provider according to a mode set by the client: balanced between price and speed, priority to speed, or priority to tool-calling accuracy. If a provider goes down or raises its prices, OpenRouter automatically switches to another one serving the same model — a safety net a direct contract with a single publisher doesn't offer. The price shown for each model generally matches the original provider's rate: GPT-4o mini, for example, stays at $0.15 per million input tokens and $0.60 for output, identical to the direct rate at its publisher.
The price of convenience: a commission, not a fixed rate
This convenience has a cost specific to OpenRouter: a 5.5% commission on the amount of each request on the standard offering, on top of the provider's rate. The free tier, meanwhile, gives real access to more than 25 models with 50 requests a day, enough to prototype an AI agent before settling on a final provider. The Enterprise offering negotiates the commission down for a committed volume, on quote.
Confidentiality, provider by provider
This is a question specific to a router, and it deserves to be asked
differently than for a single host: OpenRouter states it doesn't itself use
prompts or responses to train a model, but every request is passed to the
chosen provider, which applies its own policy. The documentation provides
two concrete levers: the data_collection parameter (allow/deny) excludes
providers that allow themselves to train on the data, and the zdr option
restricts the request to zero-retention providers only. Without these
settings active, protection depends on whichever provider is picked by
default — not on OpenRouter.
Where it falls short
Two further reservations. First, fully European data processing only exists on the Enterprise offering; by default, the privacy policy provides for a transfer to OpenRouter's US servers, outside the European Economic Area. Second, the 5.5% commission adds up on a large volume to the point of eventually outweighing the savings made by avoiding several separate contracts.
Our recommendation
OpenRouter wins over a technical team that wants to compare models or
protect its production against a provider outage, provided it sets
data_collection and zdr on every sensitive call. For very high-volume
use or a strict requirement for European processing, a direct provider such
as Scaleway or Hugging Face
stays more predictable. See also the other
model platforms in this
comparison.
Who it's for, and who it isn't
Suited for
- Development team that wants to test or combine several language models without negotiating a separate contract with each vendor
- Developer who needs an automatic safety net if a model provider goes down or changes its pricing
Not a fit
- Organization that must guarantee a single, documented privacy policy: at OpenRouter, it varies provider by provider, and must be checked with every model change
- Large volume where every cent counts: the 5.5 % commission adds to the rate already charged by the model's vendor, with no room to negotiate outside the Enterprise plan
Frequently asked questions
- Do you need to know how to code to use OpenRouter?
- Yes. OpenRouter exposes an API compatible with the OpenAI format: without a developer to call it from an application, there is nothing to do with it.
- Is my data forwarded to the model vendors?
- Yes, systematically: OpenRouter routes each request to the provider of the chosen model, which receives it to produce the response. A per-request setting lets you exclude providers that allow themselves to use it for training.
- How much does OpenRouter cost on top of the model's price?
- 5.5 % commission on each request on the standard plan, with no minimum spend; this rate drops for large accounts on the Enterprise plan, quoted on request.
- Does my data stay in Europe with OpenRouter?
- Not by default: the privacy policy provides for a transfer to OpenRouter's US servers. Fully European processing exists only on the Enterprise plan, with dedicated routing.
- What's the difference with Together AI?
- Together AI hosts the models it bills for itself; OpenRouter only routes the request to dozens of different third-party providers, without hosting them. The choice depends on wanting a single provider or a wide choice of models.
Alternatives to OpenRouter
Platforms and APIs · Language models
Together AI
Inference and fine-tuning cloud for open source AI models, billed by usage.
Platforms and APIs
Replicate
Runs thousands of open models behind an API, with no server to manage.
Platforms and APIs · AI agents
Amazon Bedrock
AWS cloud service for accessing several AI foundation models through a single API and building agents.
Platforms and APIs · AI agents
Google Vertex AI
Google cloud platform for deploying and orchestrating AI models (including Gemini) and agents in production.
Our sources
- Pricing gridaccessed on 30 July 2026
- Privacy policyaccessed on 30 July 2026
- Documentation — provider routingaccessed on 30 July 2026
- Documentation — privacy and loggingaccessed on 30 July 2026
- GPT-4o mini model page (example of displayed pricing)accessed on 30 July 2026
- Privacy policy — server locationaccessed on 31 July 2026
Prices and hosting terms change often. We recheck them periodically, but the publisher's page remains the only up-to-date reference.