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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.
Cloudflare AI Gateway vs Helicone
Context: LLM Gateways & Model Routing Platforms · 24 rows
| Attribute | Cloudflare AI GatewayCloudflare | HeliconeHelicone |
|---|---|---|
| Identity · Taxonomy | ||
| Documentation | https://developers.cloudflare.com/ai-gateway/ | — |
| Tags | llm-gateway, proxy, caching, rate-limiting, analytics | llm-observability, llm-gateway, open-source, monitoring |
| Platform · Deployment | ||
| Delivery model | SaaS | SaaS, self-hosted |
| Pricing · Licensing | ||
| Free plan | true | true |
| Free trial | — | true |
| License model | — | open-source |
| Pricing model | free, subscription, usage | free, subscription, usage |
| Source repository | — | https://github.com/Helicone/helicone |
| SPDX license IDs | — | Apache-2.0 |
| Starting price | — | 79 |
| Trial length | — | 7 |
| Features · Product · Fit | ||
| Core capabilities | Provider proxying for AI applications, Response caching, Rate limiting, Request retry and model fallback, Analytics for requests, tokens, and cost, Logging of requests and errors | LLM request logging and tracing, AI gateway with caching, rate limits, and fallbacks, Prompt management and datasets, HQL querying and user analytics, Alerts and reports, Evaluation and experiments |
| Api · Integrations · Ecosystem | ||
| API available | true | true |
| Enterprise SSO | — | SAML |
| Security · Privacy · Compliance | ||
| Security certifications | — | SOC 2, HIPAA |
| Support · Docs · Services | ||
| Support channels | — | community, email |
| Audience · Use · Case | ||
| Best for | Teams that want AI gateway controls such as caching, rate limits, analytics, and fallbacks across model providers, especially those already using Cloudflare. | AI engineering teams that want open-source LLM observability with an optional hosted gateway for logging, caching, and rate limiting. |
| Company-size fit | individual, SMB, mid-market, enterprise | individual, SMB, mid-market, enterprise |
| Primary use cases | Cost tracking for LLM usage, Rate limiting AI traffic, Caching model responses, Provider failover | LLM observability and debugging, Cost and latency monitoring, Gateway routing for AI applications |
| Skill level | intermediate | intermediate |
| Lifecycle · Versioning | ||
| Maintenance status | active | active |
| Vendor · Maintainer | ||
| Founded year | 2009 | — |
| Headquarters country | United States | — |
| Vendor type | commercial | commercial |
“—” 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.