Flow AI vs Helicone

Helicone is an open-source LLM observability layer — a one-line proxy that logs every request with costs, latency, sessions, and evals, plus a gateway with caching and rate limits.

What Helicone optimizes for

Visibility: knowing exactly what your LLM calls did and cost.

• Excellent request logging, cost dashboards, and session traces
• One-line integration in front of your existing provider
• Open source with a generous free tier

What Flow AI does differently

• Helicone observes the model you already chose; Flow AI chooses the model — per request, by measured cost-per-completed-task
• Flow includes the routing outcome in every response (_flowaiapi block: model, cost, routing reason), so transparency comes with the routing rather than alongside it
• Automatic failover and a quality cascade are built into serving, not add-ons
• One invoice at pass-through + 2.5% across all providers

How to choose

Helicone answers 'what did my LLM calls do?'. Flow AI answers 'which model should serve this task so it completes for the least money?' — many teams start with observability and adopt routing when the bill grows.

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