# GateLLM vs Kong AI Gateway - Self-Hosted AI Gateway

> GateLLM vs Kong AI Gateway: purpose-built AI gateway vs API gateway with AI plugins. Runtime, protocol entrypoints, and configuration compared.

Canonical: https://www.gatellm.io/compare/kong/

## GateLLM vs Kong AI Gateway
A source-verified comparison. Kong AI Gateway layers 60+ AI plugins onto the open-source Kong API gateway; GateLLM is a purpose-built self-hosted AI gateway. The differences are the runtime, protocol entrypoints, and how configuration is expressed.
## Migrating from Kong AI Gateway
Point your SDK base_url at GateLLM — no other code changes. Your model keys and routing policies carry over; enable plan-mode switching only as needed.
- Point your OpenAI SDK base_url at GateLLM (with /v1) — one line, no other code changes.
- Enter your model-provider keys into the console (BYOK) — they live in gateway memory, never persisted.
- Recreate your routing / fallback policies in the console — they carry over 1:1.

## Flat license, everything included
GateLLM is a single Rust binary with everything included in the flat license. Kong is open source (Apache 2.0), but its semantic routing and security plugins are Enterprise-gated.
## Cost structure
- GateLLM: flat per-instance license (Pro 2GB $400/mo) — everything included, no plugin gating.
- Kong: OSS is free; semantic routing / semantic security plugins require the Enterprise tier.
- At high volume the flat license stays flat; Kong Enterprise pricing is negotiated.

## When to choose which
### Choose Kong if…
You already run Kong for API management, want to extend it to AI traffic, and are comfortable with decK YAML and plugin configuration.
### Choose GateLLM if…
You want a purpose-built AI gateway: single Rust binary, native multi-protocol entrypoints, plan-mode switching, and a flat license with no plugin gating.
### Both can coexist
Keep Kong for general API traffic and add GateLLM as the purpose-built AI gateway for your model traffic.
## FAQ
### Is Kong AI Gateway self-hostable?
Yes. Kong Gateway is open source (Apache 2.0) and fully self-hostable, like GateLLM. The difference is the runtime and the plugin-based AI surface.
### Which has better AI-native features?
Kong layers AI onto a general API gateway via plugins (semantic routing / caching are Enterprise-gated); GateLLM is purpose-built for AI with native multi-protocol entrypoints and plan-mode switching.
### How hard is the migration from Kong?
Minimal. Both speak OpenAI; point your SDK base_url at GateLLM and re-enter your keys and routing. No client-code changes.
### Which is cheaper at scale?
Kong OSS is free but Enterprise features are gated; GateLLM is a flat per-instance license with everything included. Compare on which features you need.
Verified 2026-09-06 against developer.konghq.com and docs.gatellm.io. Features and pricing drift — check the sources before procurement.
### How the differentiators work
Each GateLLM differentiator is a mechanism, not a marketing line. Here is what it does under the hood, and what Kong does instead.
#### Native multi-protocol entrypoints
- **GateLLM**: Four native ingresses (OpenAI / Anthropic / Gemini / DashScope) translate any-to-any — one gateway serves every SDK natively.
- **Where rivals fall short**: The AI Proxy plugin normalizes providers into a unified route; non-OpenAI SDKs go through the compatible path.

#### Plan-mode model switching
- **GateLLM**: Declarative switch-route rules + built-in Claude Code plan-mode detection + useModel scripts — planning on top-tier models, execution on open SOTA, zero client change.
- **Where rivals fall short**: AI Proxy Advanced rules without plan-mode awareness; semantic routing is Enterprise-gated.

## Comparison table
### Only GateLLM does this
Mechanisms Kong does not offer — the one-line "how it works" sits under each capability. Kong is fully self-hostable, so this layer is thin by design.
| Capability | GateLLM | Kong AI Gateway |
| --- | --- | --- |
| Native multi-protocol entrypoints | ✓ | ✗ |
| Conditional model switching (built-in plan-mode detection) | ✓ | ✗ |

- **Native multi-protocol entrypoints**: Four native ingresses (OpenAI / Anthropic / Gemini / DashScope) translate any-to-any. Kong's AI Proxy normalizes providers into a unified route.
- **Conditional model switching (built-in plan-mode detection)**: Declarative switch-route rules + built-in Claude Code plan-mode detection + useModel scripts. Kong routes via AI Proxy Advanced rules (semantic routing is Enterprise-gated), without plan-mode awareness.

### Both do these well
A settled baseline — either gateway covers this layer. The decision lives in the layers above and below.
| Capability | GateLLM | Kong AI Gateway |
| --- | --- | --- |
| Multi-model routing & fallback | ✓ | ✓ |
| Load balancing across providers | ✓ | ✓ |
| Token usage & cost metering | ✓ | ✓ |
| Rate limiting & quotas | ✓ | ✓ |
| Multiple API key management | ✓ | ✓ |
| MCP tool integration | ✓ | ✓ |
| Visual console | ✓ | ✓ |
| Audit logging | ✓ | ✓ |

### Different in kind
Not better or worse — different runtime, packaging, and configuration models you should weigh directly.
| Capability | GateLLM | Kong AI Gateway |
| --- | --- | --- |
| Runtime | Single Rust binary · no GC pauses | Nginx/OpenResty + Lua plugins |
| Pricing | Flat per-instance license, everything included | Open source (Apache 2.0); semantic routing / security plugins are Enterprise-gated |
| Configuration | Fully in console — no YAML, atomic commits | Declarative YAML via decK or Konnect |
| Purpose | Purpose-built AI gateway | General API gateway + AI plugins |
| Ops model | You run the gateway | Self-host or managed (Konnect) |

Verified against official docs as of 2026-09-06 (developer.konghq.com / docs.gatellm.io). Features and pricing drift — check the sources before procurement.

## Other comparisons
- [LiteLLM](https://www.gatellm.io/compare/litellm.md)
- [OpenRouter](https://www.gatellm.io/compare/openrouter.md)
- [Alibaba Cloud AI Gateway](https://www.gatellm.io/compare/alibaba-cloud.md)
- [Azure API Management](https://www.gatellm.io/compare/azure-apim.md)
- [Apigee](https://www.gatellm.io/compare/apigee.md)
- [Cloudflare AI Gateway](https://www.gatellm.io/compare/cloudflare.md)
- [Portkey (Prisma AIRS)](https://www.gatellm.io/compare/portkey.md)

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