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Usage-Based Pricing
AI/ML

Usage-Based Pricing

For products with power users & high marginal costs

TL;DR

For products with power users and high marginal costs

Overview

One mistake/untenable competitive equilibrium that hot AI startups like Cursor, Anthropic have recently been running is an unlimited usage subscription model deeply unaligned with their underlying business. It’s a fixed revenue, highly variable costs (which are mostly deeply negative). Their most profitable users (i.e. those that barely use the service) churn first. Their power users make tokens go burrrrrr for no additional cost to themselves.

Despite hyper around models getting cheaper over time, users switch instantly to the latest most capable model. So token prices haven’t fallen at all in years:

Model image

Meanwhile, number of tokens per request has gone vertical with inference-time compute:

Model image

Revenue per user: constant.

Costs: exponential.

The natural business model-product-fit for many high-usage, compute-heavy AI products is usage-based.

Further Reading

Subscription-Based Pricing

https://ethanding.substack.com/p/ai-subscriptions-get-short-squeezed

https://ethanding.substack.com/p/windsurf-gets-margin-called

Cursor’s problem

https://hypersoren.xyz/posts/smart-squeeze/

https://www.michaeldempsey.me/blog/2025/10/03/sequencing-vs-equal-odds-applied-research/

Model image
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https://x.com/tanayj/status/2017069002653319232/photo/1

At a Glance

Categories
AI/ML
Definition
For products with power users & high marginal costs

Related Models

Aggregators

Aggregate critical mass of end demand

Platforms

Facilitate relationships between users and 3rd-party developers

Partnership

KKR / McKinsey / Cravath-style partnership as a startup

Further Reading

https://x.com/coatuemgmt/status/2047319998645887289?s=20

2026 Compound