GateLLM vs OpenRouter
A source-verified comparison. OpenRouter is a managed aggregator pooling 500+ models behind one OpenAI-compatible API; GateLLM is a self-hosted BYOK gateway. Both have BYOK, SSO, and budgets — the differences are deployment, data path, and cost.
Five things an aggregator cannot do
Each GateLLM differentiator is a mechanism, not a marketing line. Here is what it does under the hood, and what OpenRouter does instead.
Self-hosted data path
GateLLM: Runs inside your VPC / on-prem. Prompts never enter our systems; request logs off by default; 28 credential classes auto-redacted.
Where the aggregator falls short: Traffic passes through OpenRouter. Enterprise EU/US in-region routing + enforceable ZDR, but no self-host option.
No replaceable hop in model identity
GateLLM: BYOK routes straight to the vendor's official API endpoint — model identity is guaranteed by the vendor API itself.
Where the aggregator falls short: Multi-provider pooling with Exacto quality sort — no vendor-level cryptographic proof that a cheaper model is not substituted.
Flat license, not a percentage
GateLLM: Per-instance license decoupled from token volume — double your tokens and the fee does not move.
Where the aggregator falls short: Pass-through inference price + 5.5% credit-purchase fee (5% crypto) + 5% BYOK overage over the plan allowance.
Native multi-protocol entrypoints
GateLLM: Native OpenAI / Anthropic / Gemini / Bedrock / Realtime + /mcp — one gateway serves every SDK natively.
Where the aggregator falls short: A single OpenAI-compatible entrypoint.
Auditable private pricing
GateLLM: Pinned private price + time-segmented snapshots + Excel 6-sheet export — cost you can reconcile against vendor bills.
Where the aggregator falls short: Pass-through list pricing only; no private price card or reconciliation export.
GateLLM vs OpenRouter
A source-verified comparison. GateLLM is a self-hosted BYOK gateway — your prompts never enter our systems and you pay a flat license, not a percentage; OpenRouter is a managed aggregator pooling 500+ models behind one OpenAI-compatible API. The differences are deployment, data path, and cost.
Both do these well — not a differentiator
If your requirements sit entirely in this layer, either works. Decide on the two layers below.
| Capability | GateLLM | OpenRouter |
|---|---|---|
| 100+ models behind one API | ✓ | ✓ |
| Cross-provider fallback | ✓ | ✓ |
| BYOK (bring your own keys) | ✓ no markup | ✓ · 5% over plan allowance |
| Enterprise SSO | ✓ (OIDC + SAML 2.0) | ✓ (Enterprise; any SAML provider) |
| SCIM 2.0 auto-provisioning | ✓ | ✓ (Enterprise) |
| Usage & cost visibility | ✓ | ✓ |
| Structured outputs & tool calling | ✓ | ✓ |
| Prompt caching | ✓ | ✓ |
| Budgets & quotas | ✓ | ✓ |
| MCP gateway | ✓ | ✓ |
Where GateLLM is stronger
Verified against the GateLLM core (single Rust binary) and OpenRouter public docs.
| Capability | GateLLM | OpenRouter |
|---|---|---|
| Deployment model | Self-hosted in your VPC / on-prem | Managed SaaS — not self-hostable |
| Data path | Prompts never enter our systems; request logs off by default; 28 credential classes auto-redacted | Traffic passes through OpenRouter; enterprise EU/US in-region routing + enforceable ZDR, but no self-host option |
| Cost structure | Flat per-instance license, no token markup | Pass-through inference price + 5.5% credit-purchase fee (5% crypto) + 5% BYOK overage |
| Protocol entrypoints | Native OpenAI / Anthropic / Gemini / Bedrock / Realtime + /mcp | OpenAI-compatible single entrypoint |
| Model identity | BYOK routes straight to vendor official API — no replaceable hop | Multi-provider pooling with Exacto quality sort + provider policy metadata; no vendor-level cryptographic proof |
| Private pricing & billing | Pinned private price + time-segmented snapshots + Excel 6-sheet export | Pass-through list pricing |
| Config transactionality | Preview full conflict set → single-transaction atomic commit | Dashboard-only changes, no conflict preview or atomic rollback |
| Audit trail | Config diff + login events + MCP violations | Usage logs only — no config change or permission audit trail |
| Multi-SDK coexistence | One gateway natively serves OpenAI / Anthropic / Gemini / Bedrock / DashScope SDKs, any-to-any | Single OpenAI-compatible entrypoint |
| Crash-safe billing | Pre-deduct → settle → refund with an in-flight ledger — correct across process crashes | Platform-side metering, no customer-side ledger |
| MCP tool governance | Per-key-group tool ACLs + context budgets + BM25 retrieval, fully audited | MCP pass-through only, no tool-level admission control |
Where OpenRouter is stronger
A fair comparison must list what the aggregator does well.
| Capability | GateLLM | OpenRouter |
|---|---|---|
| Model breadth, out of the box | Configured per upstream | 500+ models / 60+ providers, zero setup |
| Zero ops | You run the gateway | Fully managed |
| Provider pooling redundancy | LB across your upstreams | Same-model multi-provider + Auto / Exacto + Zero Completion Insurance |
| Startup cost | Deploy + configure | Credit-and-go, no self-hosting |
| Ecosystem integrations | OpenAI-compatible — LangChain / Vercel AI SDK / any OpenAI client works directly | LangChain / Vercel AI SDK / Langfuse / Mastra / PydanticAI … |
Verified against each product's official docs as of 2026-09-04 (openrouter.ai/docs / docs.gatellm.io). Fees and plans can drift — check the sources before procurement.
Migrating from OpenRouter
Swap your SDK base_url from OpenRouter to your GateLLM gateway (OpenAI-compatible, with /v1) — no other code changes. Configure each vendor API key into the gateway (BYOK); existing routing carries over.
- 1Swap base_url to your GateLLM gateway (OpenAI-compatible, with /v1) — one line.
- 2Enter your provider keys into the console (BYOK) — they live in gateway memory, never persisted.
- 3Recreate fallbacks and provider ordering in the console — routing carries over 1:1.
- 4Enable tiered model routing or script transforms only as needed.
BYOK vs Managed Aggregator
GateLLM is licensed per instance / memory with never a token markup; requests go from your gateway straight to vendor APIs — no third party in the path. OpenRouter passes through inference pricing but charges a credit-purchase fee (5.5% card / 5% crypto, $0.80 min) and 5% on BYOK over the plan allowance.
Cost structure — where the fee actually lives
- •OpenRouter inference pricing is pass-through — no per-token markup on the model rate.
- •The fees: 5.5% on credit-card top-ups (5% crypto, $0.80 minimum) + 5% on BYOK usage over the plan allowance.
- •GateLLM: flat per-instance license (Pro 2GB $400/mo) — decoupled from token volume.
- •Break-even: at ~$7.3k/mo inference via credits (or ~$8k/mo via BYOK), OpenRouter fees equal the GateLLM Pro license; above that the flat license wins and stays flat as usage grows 10×.
- •Note: this excludes the cost of running the gateway yourself — factor in your own ops time for a self-hosted deployment.
When to choose which
Choose OpenRouter if…
You want 500+ models with zero setup and zero ops, accept its fee structure, and your data can transit a managed platform (or you pay for Enterprise in-region routing).
Choose GateLLM if…
Data must never leave your VPC, you need native Anthropic / Gemini / Bedrock / Realtime entrypoints with no replaceable hop in model identity, and your token volume is high enough that a flat license beats percentage fees.
Both can coexist
Use OpenRouter for fast model exploration, then route production traffic through your own GateLLM gateway once you have BYOK keys and a compliance requirement.
FAQ
Verified 2026-09-04 against openrouter.ai/docs and docs.gatellm.io. Fees and plans drift — check the sources before procurement.