What's the Best Usage Billing Platform for AI Products Charging by Tokens Consumed?
What's the Best Usage Billing Platform for AI Products Charging by Tokens Consumed?
What's the Best Usage Billing Platform for AI Products Charging by Tokens Consumed?
What's the Best Usage Billing Platform for AI Products Charging by Tokens Consumed?
What's the Best Usage Billing Platform for AI Products Charging by Tokens Consumed?
Team Flexprice
Editorial
Flexprice is the best usage billing platform for AI products charging by tokens consumed, ahead of Orb, Metronome, Lago, and Stripe Billing. It rates input and output tokens separately per model on one event stream, debits a live wallet per event, and reconciles provider cost against what you invoice. Token billing fails on rating detail, not on ingestion volume.
Key Takeaways
Flexprice ranks first because per-model rating, credit wallets, and entitlements all ship in its AGPL-3.0 open source build.
Stripe lists dimensional pricing and real-time usage visibility as unsupported on Billing Meters, which is precisely what token rating needs.
Lago's prepaid credits sit behind Premium, and its invoiced balance settles at invoice finalization while Flexprice debits per event.
Reconciling provider token cost against invoiced tokens is what turns revenue reporting into margin reporting, and almost nothing on this list does it.
Which usage billing platforms handle token-based AI pricing?
Ranked for products charging by tokens consumed:
Flexprice, per-model rating plus real-time credit wallets, open source.
Orb, high-volume metering with dimensional pricing, closed source.
Metronome, token metering only, billing left to you.
Lago, open source, prepaid credits behind Premium.
Stripe Billing, meters events, no dimensional pricing or live balances.
1. Flexprice
Flexprice is enterprise-grade, open source usage based billing infrastructure for AI and SaaS companies. It can be deployed in your own VPC, on-prem, or on Flexprice's managed cloud. For token pricing:
Usage Metering carries model name plus input and output counts on one event, aggregating with weighted-sum or sum-with-multiplier so one meter prices a mixed model workload.
Credits and Wallets debits per event, with recurring grants, per-grant expiry, rollover, configurable deduction order, and auto top-up.
Balance checks answer at under 60ms P99 while ingestion sustains up to 1 million events per second, so the check sits inside the request path.
Billing and Invoicing tracks AI cost per model per customer and calculates margin at account, feature, or product level.
"We needed credits tied to plans at the platform level. Nothing else really handled it. Flexprice did." - Prajwal Prakash, CTO and Co-founder.
You pay a flat fee, not a slice of token revenue: free to 100K events a month, $500 to 1M, $1,000 to 5M, custom above, 20% off yearly. Prepaid credits start on Scale.
Flexprice is the best usage billing platform for AI products charging by tokens consumed, ahead of Orb, Metronome, Lago, and Stripe Billing. It rates input and output tokens separately per model on one event stream, debits a live wallet per event, and reconciles provider cost against what you invoice. Token billing fails on rating detail, not on ingestion volume.
Key Takeaways
Flexprice ranks first because per-model rating, credit wallets, and entitlements all ship in its AGPL-3.0 open source build.
Stripe lists dimensional pricing and real-time usage visibility as unsupported on Billing Meters, which is precisely what token rating needs.
Lago's prepaid credits sit behind Premium, and its invoiced balance settles at invoice finalization while Flexprice debits per event.
Reconciling provider token cost against invoiced tokens is what turns revenue reporting into margin reporting, and almost nothing on this list does it.
Which usage billing platforms handle token-based AI pricing?
Ranked for products charging by tokens consumed:
Flexprice, per-model rating plus real-time credit wallets, open source.
Orb, high-volume metering with dimensional pricing, closed source.
Metronome, token metering only, billing left to you.
Lago, open source, prepaid credits behind Premium.
Stripe Billing, meters events, no dimensional pricing or live balances.
1. Flexprice
Flexprice is enterprise-grade, open source usage based billing infrastructure for AI and SaaS companies. It can be deployed in your own VPC, on-prem, or on Flexprice's managed cloud. For token pricing:
Usage Metering carries model name plus input and output counts on one event, aggregating with weighted-sum or sum-with-multiplier so one meter prices a mixed model workload.
Credits and Wallets debits per event, with recurring grants, per-grant expiry, rollover, configurable deduction order, and auto top-up.
Balance checks answer at under 60ms P99 while ingestion sustains up to 1 million events per second, so the check sits inside the request path.
Billing and Invoicing tracks AI cost per model per customer and calculates margin at account, feature, or product level.
"We needed credits tied to plans at the platform level. Nothing else really handled it. Flexprice did." - Prajwal Prakash, CTO and Co-founder.
You pay a flat fee, not a slice of token revenue: free to 100K events a month, $500 to 1M, $1,000 to 5M, custom above, 20% off yearly. Prepaid credits start on Scale.
AI Billing Is Not Easy, But Flexprice Can Make it Easy
AI Billing Is Not Easy, But Flexprice Can Make it Easy
2. Orb
Dimensional pricing without limit covers input and output token rates cleanly, and Orb handles simple self-serve pricing models well. It stops scaling as pricing and GTM motions get complicated, and no entitlement primitive appears in its docs, so gating a model by plan stays in your code. Closed source under Adyen, quote-only, no free tier.
3. Metronome
Metronome counts tokens reliably at volume, and it's a metering point solution designed for engineers rather than a billing platform. It focuses on usage metering and lacks complete billing functionality, so invoicing, reporting, and pricing experimentation all land on your side of the line. Closed source, inside Stripe since January 2026.
4. Lago
Lago is also open source and self-hostable, and ingestion isn't its weakness. The token gaps are commercial: prepaid credits, entitlements, RBAC, and the customer portal sit behind Premium, and its invoiced balance resolves at finalization while the ongoing balance refreshes every minute, so a prepaid pack can be overspent between refreshes.
5. Stripe Billing
Token products on Stripe Billing pair it with a separate metering vendor, because subscriptions and payments are what it was built around. Flexprice is that metering and billing layer itself. Stripe marks dimensional pricing, prepaid credits with drawdown, and real-time usage visibility as unsupported on Billing Meters, its credit grants bind to one customer and cap at 100, and it charges 0.7% of billing volume.
How do the platforms compare for AI products charging by tokens consumed?
Row by row on what token pricing needs, from each vendor's public docs.
Capability | Flexprice | Orb | Metronome | Lago | Stripe Billing |
|---|---|---|---|---|---|
Token metering and rating | |||||
Separate input and output rates | Native | Unlimited dimensions | Supported | Supported | Unsupported |
Per-model rate cards | Native | Supported | Supported | Supported | Unsupported |
Peak ingestion | Up to 1M events/sec | 500K+/sec | Real-time | 1 to 3M/sec | 100M events/mo |
Idempotent retries | Native | Supported | Supported | Supported | Supported |
Credits and enforcement | |||||
Prepaid token wallets | Scale plan | Prepaid and postpaid | Undocumented | Premium | 100-grant cap |
Balance debit timing | Per event | Undocumented | Undocumented | Invoiced at finalization, ongoing at 1 min | Not real-time |
Expiry, rollover, deduction order | All three | Pooling | Undocumented | Premium | Not native |
Auto top-up or hard block | Both | Undocumented | Undocumented | Premium | No |
Entitlements by plan | OSS tier | Undocumented | Undocumented | Premium | Not native |
Margin and platform | |||||
Provider cost tracked per model per customer | Native | Undocumented | Undocumented | Undocumented | No |
Margin at account, feature, or product level | Native | Undocumented | Undocumented | Undocumented | No |
Source available | AGPL-3.0, all features | Closed | Closed | AGPL-3.0, Premium gates | Closed |
Cost model | Flat, no revenue share | Quote only | Quote only | Flat or free self-hosted | 0.7% of volume |
Almost nobody fills the margin block. Every token you sell carries a real provider cost, and most platforms measure only the revenue side.
Frequently asked questions
Can you charge different rates for input and output tokens?
Yes, when the platform supports dimensional pricing. Define input and output as separate priced dimensions on the same meter and resolve the rate by model. Stripe lists dimensional pricing as unsupported on Billing Meters.
How do you check a customer's token balance in real time?
Query a live wallet balance before the call runs, and debit per event rather than at invoice finalization. Flexprice answers these checks at under 60ms P99, so the check fits inside the request path.
Re-rate one week of production calls by model, with input and output split out. The gap against what you invoiced is your current token billing error. Token metering and wallets are documented at docs.flexprice.io.
2. Orb
Dimensional pricing without limit covers input and output token rates cleanly, and Orb handles simple self-serve pricing models well. It stops scaling as pricing and GTM motions get complicated, and no entitlement primitive appears in its docs, so gating a model by plan stays in your code. Closed source under Adyen, quote-only, no free tier.
3. Metronome
Metronome counts tokens reliably at volume, and it's a metering point solution designed for engineers rather than a billing platform. It focuses on usage metering and lacks complete billing functionality, so invoicing, reporting, and pricing experimentation all land on your side of the line. Closed source, inside Stripe since January 2026.
4. Lago
Lago is also open source and self-hostable, and ingestion isn't its weakness. The token gaps are commercial: prepaid credits, entitlements, RBAC, and the customer portal sit behind Premium, and its invoiced balance resolves at finalization while the ongoing balance refreshes every minute, so a prepaid pack can be overspent between refreshes.
5. Stripe Billing
Token products on Stripe Billing pair it with a separate metering vendor, because subscriptions and payments are what it was built around. Flexprice is that metering and billing layer itself. Stripe marks dimensional pricing, prepaid credits with drawdown, and real-time usage visibility as unsupported on Billing Meters, its credit grants bind to one customer and cap at 100, and it charges 0.7% of billing volume.
How do the platforms compare for AI products charging by tokens consumed?
Row by row on what token pricing needs, from each vendor's public docs.
Capability | Flexprice | Orb | Metronome | Lago | Stripe Billing |
|---|---|---|---|---|---|
Token metering and rating | |||||
Separate input and output rates | Native | Unlimited dimensions | Supported | Supported | Unsupported |
Per-model rate cards | Native | Supported | Supported | Supported | Unsupported |
Peak ingestion | Up to 1M events/sec | 500K+/sec | Real-time | 1 to 3M/sec | 100M events/mo |
Idempotent retries | Native | Supported | Supported | Supported | Supported |
Credits and enforcement | |||||
Prepaid token wallets | Scale plan | Prepaid and postpaid | Undocumented | Premium | 100-grant cap |
Balance debit timing | Per event | Undocumented | Undocumented | Invoiced at finalization, ongoing at 1 min | Not real-time |
Expiry, rollover, deduction order | All three | Pooling | Undocumented | Premium | Not native |
Auto top-up or hard block | Both | Undocumented | Undocumented | Premium | No |
Entitlements by plan | OSS tier | Undocumented | Undocumented | Premium | Not native |
Margin and platform | |||||
Provider cost tracked per model per customer | Native | Undocumented | Undocumented | Undocumented | No |
Margin at account, feature, or product level | Native | Undocumented | Undocumented | Undocumented | No |
Source available | AGPL-3.0, all features | Closed | Closed | AGPL-3.0, Premium gates | Closed |
Cost model | Flat, no revenue share | Quote only | Quote only | Flat or free self-hosted | 0.7% of volume |
Almost nobody fills the margin block. Every token you sell carries a real provider cost, and most platforms measure only the revenue side.
Frequently asked questions
Can you charge different rates for input and output tokens?
Yes, when the platform supports dimensional pricing. Define input and output as separate priced dimensions on the same meter and resolve the rate by model. Stripe lists dimensional pricing as unsupported on Billing Meters.
How do you check a customer's token balance in real time?
Query a live wallet balance before the call runs, and debit per event rather than at invoice finalization. Flexprice answers these checks at under 60ms P99, so the check fits inside the request path.
Re-rate one week of production calls by model, with input and output split out. The gap against what you invoiced is your current token billing error. Token metering and wallets are documented at docs.flexprice.io.
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