Comparison · Last reviewed June 2026
routeur.ai vs Cloudflare AI Gateway
Cloudflare AI Gateway is a traffic layer on Cloudflare's edge: caching, rate limits, retries, analytics. Useful plumbing. routeur.ai is a policy layer: it decides what may pass, masks what shouldn't leave, picks the best-value model — and records the evidence. Below: the full capability matrix, the three questions that decide it, and what switching takes.
The short version
routeur.ai or Cloudflare AI Gateway: which fits your team?
Both sit between you and the model providers — but they answer different questions. If yours sounds like the left column, you're done looking.
routeur.ai is the answer when…
- Security wants policy, not plumbing: PII masked, injection blocked, outputs moderated — enforced on every request.
- You want routing that lowers the bill on every request, not just retries between endpoints you picked yourself.
- Non-engineers need governed access too: a chat workspace, an admin panel, and an audit trail compliance can stand behind.
Cloudflare AI Gateway fits when…
- You build on Workers and want caching, rate limiting and analytics sitting beside your existing Cloudflare stack.
- Traffic management genuinely is the whole requirement — nobody is asking you for DLP, policy enforcement or audit evidence.
Side by side
routeur.ai vs Cloudflare AI Gateway: the full matrix
Capability by capability, summarised from Cloudflare AI Gateway's own documentation — so you can check every cell yourself.
Cloudflare AI Gateway's column is summarised from
their public documentation,
last reviewed June 2026.
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The difference
What Cloudflare AI Gateway doesn't give you
Cloudflare moves AI traffic efficiently. It doesn't decide what should be allowed through, doesn't make each request cheaper, and doesn't produce evidence your compliance team can hand over. That's the doorway's job.
Policy, not just plumbing
Caching and rate limits manage traffic. routeur.ai manages risk: PII masked before it leaves your perimeter, injection and jailbreak attempts blocked in-line, outputs moderated before they reach users.
Routing that earns its keep
Fallbacks keep requests alive; they don't make them cheaper. routeur.ai picks the best-value capable model for every request — typically ~20% off model spend, visible per request in the dashboard.
An audit trail with receipts
Every routing and policy decision recorded append-only and tamper-evident, with data residency on every plan — what GDPR reviews and EU AI Act logging obligations actually ask you to produce.
Decision framework
Three questions that decide it
Put these to any gateway you're evaluating — Cloudflare AI Gateway included. They're the ones your security, finance and compliance teams will ask anyway.
Traffic management or policy enforcement?
A proxy that forwards a prompt full of customer PII has worked exactly as designed. The design is the problem.
Every request passes DLP, prompt shields and your policies before it leaves — and output moderation on the way back. Enforcement, not just forwarding.
What does the gateway save you — and can you prove it?
Caching helps when requests repeat. Most production prompts don't.
Routing sends every request to the best-value capable model — typically ~20% off model spend — and the dashboard shows the saving per request, versus going direct.
Can the whole company use it?
An edge proxy is configured by engineers, for application traffic. Your AI usage stopped being only that a long time ago.
A governed chat workspace for every employee and an admin panel where security and finance set policy without writing code.
Switching
Switching from Cloudflare AI Gateway takes an afternoon
Keep Cloudflare doing what it's great at — CDN, WAF, Workers. routeur.ai slots in as the AI policy layer: your OpenAI-compatible clients re-point in two lines.
Bring your provider keys
Add your OpenAI, Gemini, DeepSeek and Anthropic keys in the dashboard. They're encrypted at rest and never appear in your application code again.
Change two lines
Point your existing OpenAI client at api.routeur.ai/v1. No new SDK, no rewrite — your business logic stays byte-for-byte identical.
from openai import OpenAI
client = OpenAI(
api_key="sk-your-openai-key"
)from openai import OpenAI
client = OpenAI(
api_key="rtr-your-routeur-key",
base_url="https://api.routeur.ai/v1"
)Route a slice, read the receipts
Send 5% of traffic through, switch on DLP and prompt shields per route, and watch the dashboard report savings versus going direct — in real time, per request.