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Pick 2–5 published tools. Values come from our evidence-checked profiles — an em-dash means unknown, never “no”. Ranking rows reflect the current published methodology for the comparison context.
Kong AI Gateway vs OpenRouter
Context: LLM Gateways & Model Routing Platforms · 17 rows
| Attribute | Kong AI GatewayKong | OpenRouterOpenRouter |
|---|---|---|
| Identity · Taxonomy | ||
| Documentation | https://developer.konghq.com/ai-gateway/ | https://openrouter.ai/docs/quickstart.md |
| Tags | llm-gateway, api-gateway, kubernetes, mcp, microservices | llm-gateway, model-routing, api-aggregator, pay-as-you-go |
| Platform · Deployment | ||
| Delivery model | SaaS, self-hosted | SaaS |
| Pricing · Licensing | ||
| Free plan | — | true |
| License model | open-source | — |
| Pricing model | custom | usage |
| Source repository | https://github.com/Kong/kong | — |
| SPDX license IDs | Apache-2.0 | — |
| Features · Product · Fit | ||
| Core capabilities | Multi-LLM routing with provider failover, Semantic caching and load balancing, PII sanitization and semantic prompt guards, Token quotas, chargeback, and spend tracking, MCP server governance and authentication, L7 observability with logging and tracing | Unified API for hundreds of LLMs, Routing with fallbacks across providers, Cost tracking with no inference markup, BYOK with a free monthly allowance, Image, video, and speech APIs, Workspaces with SSO and budgets |
| Api · Integrations · Ecosystem | ||
| API available | true | true |
| Audience · Use · Case | ||
| Best for | Organizations with existing API gateway or Kubernetes infrastructure that want LLM, MCP, and agent traffic governed through one gateway platform. | Developers and teams that want a single API to hundreds of models across providers, with per-token pricing, fallbacks, and centralized billing. |
| Company-size fit | SMB, mid-market, enterprise | individual, SMB, mid-market, enterprise |
| Primary use cases | Governing LLM traffic in API infrastructure, MCP and agent-to-agent traffic governance, Provider switching and failover | Multi-provider model access for AI applications, LLM spend management, Provider failover and routing |
| Skill level | advanced | — |
| Lifecycle · Versioning | ||
| Maintenance status | active | active |
| Vendor · Maintainer | ||
| Headquarters country | — | United States |
| Vendor type | commercial | commercial |
“—” means unknown (we never treat missing evidence as a negative). Cells reflect each value's current evidence state; superseded or stale values are excluded. Ranking rows are editorial assessments under the cited methodology version — see the LLM Gateways & Model Routing Platforms category for definitions.