Portkey vs Respan: LLM Gateways Comparison
Compare Portkey and Respan side by side. Both are tools in the LLM Gateways category.
Updated March 10, 2026
The short answer
Choose Portkey if massive scale—10B requests monthly with 99.9999% uptime.
Choose Respan if single API endpoint for 250+ LLMs eliminates vendor lock-in.
Quick Comparison
| Category | LLM Gateways | LLM Gateways |
| Pricing | Freemium | Freemium |
| Best For | Engineering teams who need a reliable, observable gateway for production LLM applications | AI engineering teams building production LLM applications who need unified access, observability, and cost control |
| Website | portkey.ai | respan.ai |
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Pros & Cons: Portkey vs Respan
- +Massive scale—10B requests monthly with 99.9999% uptime
- +Comprehensive observability and analytics
- +Dedicated support even during POC phase
- +Strong security certifications (SOC2, ISO27001)
- −Real-world latency (20-40ms) higher than claimed
- −Benchmarks show competitors 228% faster
- −Complex feature set overwhelming for new users
- −High pricing for smaller teams
- +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
- −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
Pricing: Portkey vs Respan
- · Open-source gateway
- · Infrastructure costs only
- · Full control
- · Community support
- · Managed infrastructure
- · Standard support
- · Advanced observability
- · Prompt management
- · RBAC, SSO
- · Private cloud/VPC
- · Data isolation
- · SOC2, ISO27001
- · 10,000 requests/month
- · Basic analytics
- · Community support
- · Up to 2 team members
- · 100,000 requests/month
- · Advanced analytics
- · Priority support
- · Unlimited team members
- · Unlimited requests
- · Custom SLAs
- · Dedicated support
- · SSO and RBAC
When to Choose Portkey vs Respan
- Enterprise LLM deployment with reliability
- Multi-provider failover and load balancing
- Cost reduction through semantic caching
- Multi-provider LLM orchestration
- LLM cost optimization and tracking
- Production monitoring and observability
About Portkey
Portkey is an AI gateway and control panel trusted by thousands of development teams worldwide, providing comprehensive infrastructure for production AI applications. The platform processes over 10 billion LLM requests monthly with 99.9999% uptime and sub-40ms latency. Portkey's suite includes AI Gateway, Guardrails, Observability, and Prompt Management, routing requests to 1600+ models across major providers through a unified interface. Users praise easy integration, intuitive dashboards, dedicated support, and analytics providing detailed insights into traces, errors, caching, and cost visibility. However, real-world deployments often experience 20-40ms latency overhead (higher than claimed), with Kong benchmarks showing competitors 228% faster. Pricing typically ranges USD 2,000-10,000+ monthly depending on volume and deployment model. While powerful for enterprises, the platform can be overwhelming for new users and may require separate tools for comprehensive MLOps capabilities.
About Respan
Respan is a unified AI gateway that provides a single API endpoint to access 250+ LLMs from every major provider including OpenAI, Anthropic, Google, Meta, Mistral, and dozens more. Built for engineering teams that need reliability and flexibility in their AI stack, Respan eliminates vendor lock-in by enabling seamless switching between models without code changes.
The platform provides intelligent model routing with automatic fallback strategies, ensuring AI applications stay online even when individual providers experience outages. Built-in load balancing distributes requests across providers for optimal performance, while real-time cost tracking and usage analytics help teams understand and control their AI spend. Respan's caching layer reduces redundant API calls, cutting costs by up to 70% for repeated queries.
Respan also includes rate limiting, request/response logging, and a unified dashboard for monitoring all LLM interactions across an organization. The platform supports prompt management, A/B testing between models, and semantic caching to accelerate response times. Teams can get started with a free tier and scale to enterprise plans with custom SLAs and dedicated support.
What is LLM Gateways?
Unified API platforms and proxies that aggregate multiple LLM providers behind a single endpoint, providing model routing, fallback, caching, rate limiting, cost optimization, and access control.
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