New Relic’s public pricing is built around usage rather than a single flat subscription. The company positions the model as simple and transparent, with a perpetual Free tier for teams that want to start without a credit card, plus paid editions and add-ons for organizations that need more scale, more users, or advanced compliance and retention features. On the official pricing page, New Relic says buyers can “Pay as you grow,” and the pricing documentation explains that the primary billing inputs are data ingested, user edition, and optional compute or data-capability add-ons. For buyers evaluating observability budgets, the important distinction is that some prices are openly published while others are quote-only or tied to a contract, so the best estimate depends on whether you are buying on pure usage, a committed contract, or a custom enterprise arrangement.
The clearest public entry point is the Free tier, which includes 100 GB of ingest per month, unlimited free basic users, one free full platform user, and access to more than 50 capabilities. From there, New Relic publishes a data-metered price of $0.40 per GB ingested beyond the free 100 GB, plus a separate set of list prices for user editions and add-ons in the usage plan. Standard is described as the starting point for small teams, but its public price is not shown on the main pricing page. Pro and Enterprise include broader access and support, and the usage plan lists their per-user prices under different billing cadences, including annual upfront, monthly billing, and pay-as-you-go for Pro and Enterprise full platform users. The same documentation also confirms that optional features such as Advanced Compute, EU data region selection, extended retention, synthetic checks, and Live Archives can add cost.
For buyers comparing observability vendors, this means New Relic is not a simple per-seat tool and not a simple per-GB tool; it is both, depending on the edition and plan structure. That can be attractive for teams that want to start free and then scale usage gradually, but it can also make forecasted spend more dependent on telemetry volume, user mix, and add-on adoption. The public materials also make clear that commitment contracts can unlock discounted rates, while overages, retention, and specialized compliance features can raise the bill. In practice, the most predictable cost path is to model ingest, user types, and any Advanced Compute or data-region requirements together before requesting pricing.