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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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Kong AI Gateway vs Helicone

Context: LLM Gateways & Model Routing Platforms · 22 rows

AttributeKong AI GatewayKongHeliconeHelicone
Identity · Taxonomy
Documentationhttps://developer.konghq.com/ai-gateway/
Tagsllm-gateway, api-gateway, kubernetes, mcp, microservicesllm-observability, llm-gateway, open-source, monitoring
Platform · Deployment
Delivery modelSaaS, self-hostedSaaS, self-hosted
Pricing · Licensing
Free plantrue
Free trialtrue
License modelopen-sourceopen-source
Pricing modelcustomfree, subscription, usage
Source repositoryhttps://github.com/Kong/konghttps://github.com/Helicone/helicone
SPDX license IDsApache-2.0Apache-2.0
Starting price79
Trial length7
Features · Product · Fit
Core capabilitiesMulti-LLM routing with provider failover, Semantic caching and load balancing, PII sanitization and semantic prompt guards, Token quotas, chargeback, and spend tracking, MCP server governance and authentication, L7 observability with logging and tracingLLM 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 availabletruetrue
Enterprise SSOSAML
Security · Privacy · Compliance
Security certificationsSOC 2, HIPAA
Support · Docs · Services
Support channelscommunity, email
Audience · Use · Case
Best forOrganizations with existing API gateway or Kubernetes infrastructure that want LLM, MCP, and agent traffic governed through one gateway platform.AI engineering teams that want open-source LLM observability with an optional hosted gateway for logging, caching, and rate limiting.
Company-size fitSMB, mid-market, enterpriseindividual, SMB, mid-market, enterprise
Primary use casesGoverning LLM traffic in API infrastructure, MCP and agent-to-agent traffic governance, Provider switching and failoverLLM observability and debugging, Cost and latency monitoring, Gateway routing for AI applications
Skill leveladvancedintermediate
Lifecycle · Versioning
Maintenance statusactiveactive
Vendor · Maintainer
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.