Helicone vs Kong AI Gateway (2026)
Updated March 10, 2026
Overview
Helicone is an open-source LLM observability and proxy platform. By adding a single line of code, developers get request logging, cost tracking, caching, rate limiting, and analytics for their LLM applications. Helicone supports all major LLM providers and can function as both a gateway proxy and a logging-only integration.
Kong AI Gateway extends the popular Kong API gateway with AI-specific capabilities including multi-LLM routing, prompt engineering, semantic caching, rate limiting, and cost management.
Key features
Core capabilities each platform advertises.
- LLM observability and monitoring
- Cost tracking and analytics
- Request caching
- Rate limiting and user management
- Open-source with managed option
- AI traffic management
- Multi-LLM load balancing
- Request/response transformation
- Authentication and authorization
- Plugin ecosystem
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Extremely simple integration (one line of code)
- Open-source with self-hosting option
- Generous free tier (100k requests)
- Supports all major LLM providers
Cons
- Advanced features require paid tiers
- Data retention limited on free tier
- Self-hosting requires technical expertise
Pros
- Developer-friendly platform
- Production-ready
- Good performance
- Active development
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve
Helicone or Kong AI — which should you choose?
Choose Helicone if you wantChoose if you want
- LLM cost monitoring and optimization
- Production request debugging
- User-level usage tracking and rate limiting
- Caching to reduce latency and cost
- Team-wide LLM spend management
Choose Kong AI if you wantChoose if you want
- Enterprise AI API management
- Load balancing across LLM providers
- AI traffic governance and security
- Multi-tenant AI access control
- API lifecycle management for AI
Compare Helicone and Kong AI Gateway on your own traffic
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