Compare tools
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.
Portkey vs Helicone
Context: LLM Gateways & Model Routing Platforms · 24 rows
| Attribute | PortkeyPortkey | HeliconeHelicone |
|---|---|---|
| Identity · Taxonomy | ||
| Documentation | https://portkey.ai/docs | — |
| Tags | llm-gateway, llm-observability, guardrails, prompt-management | llm-observability, llm-gateway, open-source, monitoring |
| Platform · Deployment | ||
| Delivery model | SaaS, self-hosted | SaaS, self-hosted |
| Pricing · Licensing | ||
| Free plan | true | true |
| Free trial | — | true |
| License model | open-source | open-source |
| Pricing model | free, subscription, custom | free, subscription, usage |
| Source repository | https://github.com/Portkey-AI/gateway | https://github.com/Helicone/helicone |
| SPDX license IDs | MIT | Apache-2.0 |
| Starting price | 49 | 79 |
| Trial length | — | 7 |
| Features · Product · Fit | ||
| Core capabilities | Unified 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 access | 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 | ||
| Regulatory compliance | GDPR, HIPAA | — |
| Security certifications | SOC 2 Type II, HIPAA | SOC 2, HIPAA |
| Support · Docs · Services | ||
| Support channels | community, production support, priority support | community, email |
| Audience · Use · Case | ||
| Best for | Teams building GenAI applications that want observability, guardrails, and gateway routing available as SaaS or self-hosted. | AI engineering teams that want open-source LLM observability with an optional hosted gateway for logging, caching, and rate limiting. |
| Company-size fit | SMB, mid-market, enterprise | individual, SMB, mid-market, enterprise |
| Primary use cases | Production monitoring for GenAI applications, LLM cost and latency management, AI governance with RBAC and audit logs | 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 | ||
| 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.