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Pick 2–5 published tools. Values come from our evidence-checked profiles — an em-dash means unknown, never “no”. Ranking rows reflect the current published methodology for the comparison context.

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Portkey vs Cloudflare AI Gateway

Context: LLM Gateways & Model Routing Platforms · 22 rows

AttributePortkeyPortkeyCloudflare AI GatewayCloudflare
Identity · Taxonomy
Documentationhttps://portkey.ai/docshttps://developers.cloudflare.com/ai-gateway/
Tagsllm-gateway, llm-observability, guardrails, prompt-managementllm-gateway, proxy, caching, rate-limiting, analytics
Platform · Deployment
Delivery modelSaaS, self-hostedSaaS
Pricing · Licensing
Free plantruetrue
License modelopen-source
Pricing modelfree, subscription, customfree, subscription, usage
Source repositoryhttps://github.com/Portkey-AI/gateway
SPDX license IDsMIT
Starting price49
Features · Product · Fit
Core capabilitiesUnified API to 1,600+ LLMs, Routing, fallbacks, and load balancing, Observability with logs, traces, and metrics, Guardrails including PII redaction, Prompt management and caching, MCP gateway for tool accessProvider proxying for AI applications, Response caching, Rate limiting, Request retry and model fallback, Analytics for requests, tokens, and cost, Logging of requests and errors
Api · Integrations · Ecosystem
API availabletruetrue
Security · Privacy · Compliance
Regulatory complianceGDPR, HIPAA
Security certificationsSOC 2 Type II, HIPAA
Support · Docs · Services
Support channelscommunity, production support, priority support
Audience · Use · Case
Best forTeams building GenAI applications that want observability, guardrails, and gateway routing available as SaaS or self-hosted.Teams that want AI gateway controls such as caching, rate limits, analytics, and fallbacks across model providers, especially those already using Cloudflare.
Company-size fitSMB, mid-market, enterpriseindividual, SMB, mid-market, enterprise
Primary use casesProduction monitoring for GenAI applications, LLM cost and latency management, AI governance with RBAC and audit logsCost tracking for LLM usage, Rate limiting AI traffic, Caching model responses, Provider failover
Skill levelintermediateintermediate
Lifecycle · Versioning
Maintenance statusactiveactive
Vendor · Maintainer
Founded year2009
Headquarters countryUnited StatesUnited States
Vendor typecommercialcommercial

“—” means unknown (we never treat missing evidence as a negative). Cells reflect each value's current evidence state; superseded or stale values are excluded. Ranking rows are editorial assessments under the cited methodology version — see the LLM Gateways & Model Routing Platforms category for definitions.