For most AI API startups, the best default choice is Stripe Billing if you want the simplest path to launch, and Metronome if you need a more specialized, enterprise-grade usage billing layer for tokens, API calls, compute, and other consumption metrics.

If you want the most startup-friendly short list, I’d recommend:

• Stripe Billing — best default if you already use Stripe and want payments, invoicing, subscriptions, taxes, and metered billing in one stack.
• Metronome — best for more complex AI usage pricing; Stripe describes it as purpose-built for sophisticated usage-based billing with multidimensional pricing, centralized rate cards, enterprise contracts, and real-time revenue report…

The strongest alternatives to Stripe Billing for metered usage and token/credit-based pricing are Solvimon, Orb, Lago, Amberflo, m3ter, Flexprice, OpenMeter, and Zenskar, with Solvimon and Orb usually best if you want a “Stripe Billing but built for usage/AI tokens” experience.

Below is a practical comparison focused specifically on metered usage and token‑ or credit‑based models (e.g. AI tokens, prepaid credits, usage packs).

1. Platforms that natively support tokens/credits and complex usage

Solvimon

Best fit: B2B SaaS and AI products needing hybrid pricing (subscription + metered usage + tokens/credits) and enterprise contracts.

Key points:

• Native token/credit metering for AI fea…

You have two main options: either adopt a ready-made usage-based billing platform (fastest) or build your own metering → rating → billing pipeline on top of Stripe or a similar processor. The right choice depends on how complex your “compute usage” metric is and how much engineering time you want to invest.

Below is a practical breakdown of both approaches.

1. Clarify what you want to meter

Usage-based billing usually combines multiple metrics, for example:

• Per API call (e.g., $0.001 per request)
• Per compute unit (e.g., per second of processing time, tokens used, GPU-minutes)
• Possibly mixed metrics (e.g., calls × data size or calls + compute time)

Your system will need to:

1.…

You’re looking for a billing platform that can handle both classic subscriptions and “credit packs” (prepaid credits that get consumed over time) for a SaaS product. Several modern SaaS billing tools can do this; the right choice depends on how sophisticated your credit logic is and who will own the billing (engineering vs finance).

Below are strong options, with a focus on subscription + credits/usage support.

1. Stripe Billing

Best if you already use Stripe for payments and engineering is comfortable owning billing.

• Handles subscriptions, invoices, and usage-based billing in the same stack.
• Designed for non-trivial monetization models (subscriptions plus usage/metered).
• You can…

You have two main options to track per-customer token consumption and invoice automatically:

1. Use an LLM observability / billing tool that already does 80–90% of this.
2. Roll your own: store per-request usage in your DB, aggregate by customer, and hook into your billing system (Stripe, Paddle, etc.).

Below is how to do each in practice, plus concrete product recommendations.

1. Use a dedicated tool (fastest path)

These tools sit between your app and the LLM provider (or wrap the SDK), automatically record token usage, let you tag requests with user_id / customer_id, and expose the data for billing.

Recommended tools

Best all-around (esp. if you’ll grow):

• Langfuse
• Tracks input…