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.
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 entrypointsFour native ingresses (OpenAI / Anthropic / Gemini / DashScope) translate any-to-any. Kong's AI Proxy normalizes providers into a unified route. | Yes | No |
| 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. | Yes | No |
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 | Yes | Yes |
| Load balancing across providers | Yes | Yes |
| Token usage & cost metering | Yes | Yes |
| Rate limiting & quotas | Yes | Yes |
| Multiple API key management | Yes | Yes |
| MCP tool integration | Yes | Yes |
| Visual console | Yes | Yes |
| Audit logging | Yes | Yes |
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.
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.
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.
- 1Point your OpenAI SDK base_url at GateLLM (with /v1) — one line, no other code changes.
- 2Enter your model-provider keys into the console (BYOK) — they live in gateway memory, never persisted.
- 3Recreate 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
Verified 2026-09-06 against developer.konghq.com and docs.gatellm.io. Features and pricing drift — check the sources before procurement.