Cloudflare AI Gateway vs Helicone

Detailed side-by-side comparison to help you choose the right tool

Cloudflare AI Gateway

🔴Developer

App Deployment

Observe and control AI applications with caching, rate limiting, and analytics for any LLM provider.

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Starting Price

Free

Helicone

🔴Developer

Business Analytics

API gateway and observability layer for LLM usage analytics. This analytics & monitoring provides comprehensive solutions for businesses looking to optimize their operations.

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Starting Price

Free

Feature Comparison

Scroll horizontally to compare details.

FeatureCloudflare AI GatewayHelicone
CategoryApp DeploymentBusiness Analytics
Pricing Plans18 tiers11 tiers
Starting PriceFreeFree
Key Features
  • LLM Request Routing
  • Response Caching
  • Rate Limiting
  • Workflow Runtime
  • Tool and API Connectivity
  • State and Context Handling

Cloudflare AI Gateway - Pros & Cons

Pros

  • Universal proxy supporting all major AI providers
  • Powerful caching reduces costs and improves performance
  • Comprehensive analytics and observability features
  • Easy integration requiring only endpoint URL changes
  • Free tier includes unlimited requests with basic features

Cons

  • Introduces an additional infrastructure dependency
  • Advanced features require paid plans for high-volume usage
  • Configuration can become complex for sophisticated routing policies
  • Limited to Cloudflare's global network infrastructure

Helicone - Pros & Cons

Pros

  • Proxy-based integration requires only a base URL change — genuinely zero-code setup for OpenAI and Anthropic users
  • Real-time cost analytics with per-user, per-feature, and per-model breakdowns are best-in-class for LLM spend management
  • Gateway-level request caching can significantly reduce API costs for applications with repetitive queries
  • Custom properties via headers enable flexible analytics segmentation without any SDK dependency
  • Built-in rate limiting and retry logic at the proxy layer reduces operational code in your application

Cons

  • Proxy architecture adds 20-50ms latency per request, which matters for latency-sensitive applications
  • Individual request-level visibility doesn't capture multi-step agent workflows or retrieval pipeline context
  • Session and trace grouping features are newer and less mature than dedicated tracing platforms
  • Dependency on routing traffic through Helicone's infrastructure raises concerns for some security-conscious teams

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🔒 Security & Compliance Comparison

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Security FeatureCloudflare AI GatewayHelicone
SOC2✅ Yes✅ Yes
GDPR✅ Yes✅ Yes
HIPAA❌ No
SSO✅ Yes✅ Yes
Self-Hosted🔀 Hybrid
On-Prem❌ No✅ Yes
RBAC✅ Yes✅ Yes
Audit Log✅ Yes✅ Yes
Open Source❌ No✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes✅ Yes
Encryption in Transit✅ Yes✅ Yes
Data ResidencyGLOBALUS, EU
Data Retentionconfigurableconfigurable
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