# GateLLM vs Apigee - Self-Hosted AI Gateway

> GateLLM vs Apigee: purpose-built self-hosted AI gateway vs Google Cloud API management. Control-plane independence and protocol entrypoints compared.

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

## GateLLM vs Apigee
A source-verified comparison. Apigee is Google Cloud's API management platform used as an AI gateway; GateLLM is a purpose-built self-hosted AI gateway. The differences are protocol entrypoints, control-plane independence, and how routing is expressed.
## Migrating from Apigee
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.

## Self-contained vs GCP-attached
GateLLM is licensed per instance / memory with never a token markup, and runs without any cloud subscription. Apigee Hybrid runs the data plane on your Kubernetes, but the control plane stays on Google Cloud.
## Cost structure
- GateLLM: flat per-instance license (Pro 2GB $400/mo) — no seats, no token markup.
- Apigee: environment-based subscription pricing (Standard / Enterprise / Pay-as-you-go).
- At high volume the flat license decouples cost from usage; Apigee pricing scales with environments and traffic.

## When to choose which
### Choose Apigee if…
You are already on Google Cloud, want a general API management platform that also fronts your AI backends, and accept the GCP control plane.
### Choose GateLLM if…
You need native multi-protocol entrypoints, plan-mode model switching, and a self-contained gateway with no external control plane.
### Both can coexist
Keep Apigee for general API traffic and add GateLLM as the purpose-built AI gateway for your model traffic.
## FAQ
### Is Apigee self-hostable?
Partially. Apigee Hybrid runs the data plane on GKE / EKS / AKS, but the control plane stays on Google Cloud. GateLLM is fully self-contained.
### Does GateLLM support Vertex AI models?
Yes. Vertex AI connects as an upstream, and you keep using the OpenAI / Anthropic / Gemini SDKs while GateLLM translates the protocol.
### How hard is the migration from Apigee?
Minimal. Both speak OpenAI; point your SDK base_url at GateLLM and re-enter your keys and routing policies. No client-code changes.
### Which is cheaper at scale?
Apigee pricing scales with environments; GateLLM is a flat per-instance license. At high token volume the flat fee wins and stays flat.
Verified 2026-09-06 against cloud.google.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 Apigee 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**: A single OpenAI-compatible proxy path; non-OpenAI SDKs go through the compatible path.

#### No external control plane
- **GateLLM**: Fully self-contained — no cloud subscription, no vendor control plane.
- **Where rivals fall short**: Hybrid data plane on your Kubernetes, but the control plane stays on Google Cloud.

#### 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**: Proxy-policy routing without plan-mode awareness.

## Comparison table
A source-verified comparison. Apigee is Google Cloud's API management platform used as an AI gateway, with model routing and governance on top; GateLLM is a purpose-built self-hosted AI gateway. The differences are protocol entrypoints, control-plane independence, and how routing is expressed.
### Only GateLLM does this
Mechanisms Apigee does not offer — the one-line "how it works" sits under each capability.
| Capability | GateLLM | Apigee |
| --- | --- | --- |
| Native multi-protocol entrypoints | ✓ | ✗ |
| No external control plane / no cloud subscription | ✓ | ✗ |
| Conditional model switching (built-in plan-mode detection) | ✓ | ✗ |

- **Native multi-protocol entrypoints**: Four native ingresses (OpenAI / Anthropic / Gemini / DashScope) translate any-to-any. Apigee proxies LLM APIs through an OpenAI-compatible path.
- **No external control plane / no cloud subscription**: GateLLM is fully self-contained. Apigee Hybrid runs the data plane on GKE/EKS/AKS, but the control plane stays on Google Cloud.
- **Conditional model switching (built-in plan-mode detection)**: Declarative switch-route rules + built-in Claude Code plan-mode detection + useModel scripts. Apigee routes via proxy policies, 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 | Apigee |
| --- | --- | --- |
| 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 deployment, pricing, and configuration models you should weigh directly.
| Capability | GateLLM | Apigee |
| --- | --- | --- |
| Runtime | Single Rust binary · no GC pauses | General API gateway + AI policies |
| Pricing | Flat per-instance license, no token markup | Environment-based subscription pricing |
| Configuration | Fully in console — no YAML, atomic commits | Proxy bundles + policy XML |
| Ecosystem lock-in | Cloud-neutral — any model vendor | Deep Google Cloud integration (Vertex AI, Model Armor) |
| Ops model | You run the gateway | Managed or hybrid (GKE data plane) |

Verified against official docs as of 2026-09-06 (cloud.google.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)
- [Cloudflare AI Gateway](https://www.gatellm.io/compare/cloudflare.md)
- [Kong AI Gateway](https://www.gatellm.io/compare/kong.md)
- [Portkey (Prisma AIRS)](https://www.gatellm.io/compare/portkey.md)

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