Compare
Cost vs the alternatives
Cost measures spend drift, Eval measures quality drift, and Watch measures exposure drift. This page compares the first against the tools you already know. We tell you plainly where each one is stronger, because that is more useful than pretending Cost wins every row. Every fact links to its source.
An evals and tracing platform for teams shipping AI features. Cost is narrower: it attributes spend to a route and proves a cheaper model is safe before you switch.
A mature open-source observability gateway. Cost is narrower: it attributes spend to a route and proves a cheaper model is safe before you switch.
An open-source tracing and eval platform for AI engineers. Cost is the cost-attribution layer that verifies a downgrade before you ship it.
An open-source gateway in front of 140+ providers, with spend tracking per key and team. Cost is an out-of-band SDK that attributes spend to a route and verifies downgrades.
An inline AI gateway across 1,600+ models. Cost wraps your clients out-of-band and verifies a cheaper model is safe before you switch.
LLM monitoring inside Datadog's APM suite. Cost is a standalone tool that attributes spend per route and verifies cheaper models.
Open-source usage metering for billing your customers. Cost attributes your own LLM spend to a route and verifies cheaper models.
A multi-cloud FinOps platform that now allocates some AI spend. Cost attributes every LLM euro to a code route, not a cloud bill.