Kong AI Gateway vs Respan
Updated March 10, 2026
Overview
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.
Respan is a unified AI gateway that provides a single API endpoint to access 250+ LLMs from every major provider. It offers intelligent model routing, fallback strategies, cost optimization, load balancing, and real-time observability—enabling teams to build resilient AI applications without vendor lock-in. Respan simplifies multi-model orchestration with built-in caching, rate limiting, and usage analytics across all providers.
Key features
Core capabilities each platform advertises.
- AI traffic management
- Multi-LLM load balancing
- Request/response transformation
- Authentication and authorization
- Plugin ecosystem
- Unified LLM API with 200+ models
- Real-time cost and performance analytics
- Automatic fallbacks and load balancing
- Prompt management and versioning
- Built-in evaluation and monitoring
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Developer-friendly platform
- Production-ready
- Good performance
- Active development
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve
Pros
- Single API endpoint for 250+ LLMs eliminates vendor lock-in
- Automatic fallback ensures uptime even during provider outages
- Real-time cost tracking and analytics across all providers
- Built-in caching reduces redundant API costs significantly
- Easy integration with existing codebases via OpenAI-compatible API
Cons
- Additional latency from routing through a gateway layer
- Newer platform with smaller community compared to established tools
- Some advanced provider-specific features may not be fully supported
Kong AI or Respan — which should you choose?
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
Choose Respan if you wantChoose if you want
- Multi-provider LLM orchestration
- LLM cost optimization and tracking
- Production monitoring and observability
- A/B testing across models
- Enterprise LLM governance