OpenRouter vs Kong AI Gateway

Both are llm gateways tools. Here is how they actually differ on price, billing model and deployment.

OpenRouter Kong AI Gateway
Category LLM Gateways LLM Gateways
Our rating 4/5 3/5
Starting price 5.5% markup Around $500/mo (Konnect)
Billing meter markup-pct No usage metering
Free plan Yes Yes
Free self-hosting No or paid tier only Yes, free
Best for Small teams and prototypes trying many models without wanting infrastructure, and anyone whose monthly provider spend stays below roughly $5,000 where the markup costs less than running a gateway. Organisations already standardised on Kong for API management, where bringing LLM traffic under existing governance matters more than LLM-specific features.

Our verdict on OpenRouter

OpenRouter is the fastest way to get access to a very large number of models, and for small teams it is close to unbeatable on convenience. One key, one OpenAI-compatible endpoint, 500+ models, no subscription, and 27 community-subsidised models that are genuinely free. If you are evaluating which model suits a problem, the ability to switch between hundreds by changing a string is worth real money in engineering time alone. The economics turn against you as you grow, and the reason is structural. The 5.5% markup carries no volume discounts, so the fee scales indefinitely with your spend while delivering nothing additional - at $50,000 a month that is $2,750 every month for the same service you got at $1,000. Two smaller details are worth knowing. Credits expire after one year of non-use, which is unusual enough to catch people out. And there is no self-hosted option, so their availability is your availability, with no fallback you control.

Full OpenRouter review →

Our verdict on Kong AI Gateway

Kong AI Gateway is a straightforward proposition that depends almost entirely on one question - do you already run Kong? If you do, this is close to an obvious choice. LLM traffic comes under the same policy, authentication, rate limiting and governance as the rest of your APIs, managed by the same platform team through the same control plane, rather than existing as a parallel system nobody owns. For an organisation where API governance is already a formal function, that consolidation is worth more than any LLM-specific feature. If you do not already run Kong, the calculation inverts sharply. Konnect is reported at roughly $500 to $2,500 a month against Cloudflare AI Gateway's $5 or self-hosted LiteLLM's infrastructure cost, and the LLM-specific capabilities are thinner than dedicated AI gateways. You would be adopting a substantial API management platform to solve a problem that cheaper, more focused tools solve directly.

Full Kong AI Gateway review →
These two meter differently, so published prices are not comparable. Model both against your own workload →

Frequently Asked Questions

What is the main difference between OpenRouter and Kong AI Gateway?

OpenRouter: Small teams and prototypes trying many models without wanting infrastructure, and anyone whose monthly provider spend stays below roughly $5,000 where the markup costs less than running a gateway. Kong AI Gateway: Organisations already standardised on Kong for API management, where bringing LLM traffic under existing governance matters more than LLM-specific features. Both sit in LLM Gateways, so the decision usually comes down to billing model and deployment rather than raw capability.

Which is cheaper, OpenRouter or Kong AI Gateway?

It depends entirely on your workload shape, because they meter differently - OpenRouter bills on markup-pct and Kong AI Gateway bills on no usage metering. Published starting prices are 5.5% markup and Around $500/mo (Konnect) respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.

Can I self-host OpenRouter or Kong AI Gateway?

OpenRouter: No or paid tier only. Kong AI Gateway: Yes, free. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.