Compare Helicone and Portkey side by side. Both are tools in the LLM Gateways category.
Updated March 10, 2026
Choose Helicone if extremely simple integration (one line of code).
Choose Portkey if massive scale—10B requests monthly with 99.9999% uptime.
Want to compare Helicone and Portkey on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
| Category | LLM Gateways | LLM Gateways |
| Pricing | Freemium | Freemium |
| Best For | Developer teams who need visibility into their LLM usage, costs, and performance | Engineering teams who need a reliable, observable gateway for production LLM applications |
| Website | helicone.ai | portkey.ai |
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Helicone is an open-source LLM observability platform providing monitoring, logging, and analytics for AI applications. The platform offers detailed insights into LLM requests, costs, latency, and user behavior with minimal integration overhead—just one line of code to get started. Helicone supports all major LLM providers and provides features like caching, rate limiting, prompt management, and user tracking. The platform is available as both open-source for self-hosting and as a managed cloud service with generous free tiers. Helicone helps teams understand and optimize their AI applications through comprehensive observability.
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.
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.
Browse all LLM Gatewaystools →One platform for routing, observability, tracing, and evals across every LLM provider.