Kong AI Gateway vs Respan (2026)
Updated March 10, 2026
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Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
Enterprises using Kong who want to extend their API gateway with AI capabilities
Best For
AI engineering teams building production LLM applications who need unified access, observability, and cost control
Product Summary
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.
Product Summary
Respan is the AI router with built-in observability and automated evals: one API for 1,000+ models, with tracing, spend control, and evals on every request.
Starting Price
$0Per month
Starting Price
$0
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
Yes
Website
Website
Key features
Core capabilities each platform advertises.
- AI traffic management
- Multi-LLM load balancing
- Request/response transformation
- Authentication and authorization
- Plugin ecosystem
- One API for 1,000+ models
- Automatic fallbacks and retries
- Load balancing across providers and models
- Exact-match caching with configurable TTL
- Hard spend limits per key, per customer, or org-wide
- Task-aware model routing with Respan Router (beta)
- Tracing, evals, and prompt management on every routed request
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
- Gateway, tracing, and evals in one platform, so every metric ties back to the request behind it
- 1,000+ models through one OpenAI-compatible API
- No processing fee on Respan credits, and provider discounts are passed straight through
- Hard spend caps that block requests, not just alert
- Unlimited seats on the free plan
- SOC 2, HIPAA with a BAA, GDPR, and ISO 27001
Cons
- Additional latency (30-40ms) 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
- Keeping agents online through provider outages and rate limits
- Controlling LLM spend per customer or API key
- Switching models without code changes
- Scoring output quality on live production traffic
- Replacing a separate gateway, logging tool, and eval tool with one platform