COMPARE US WITH LAGO
Flexprice Vs. Lago
Flexprice Vs. Lago
Lago is a solid open-source billing foundation. But AI companies outgrow it fast. Flexprice gives you the same open-source transparency with enterprise-grade depth on credits, entitlements, contracts, and pricing experimentation.
Lago is a solid open-source billing foundation. But AI companies outgrow it fast. Flexprice gives you the same open-source transparency with enterprise-grade depth on credits, entitlements, contracts, and pricing experimentation.
Powering monetization for
Powering monetization for
Powering monetization for
If billing doesn't work, we don't make money. Flexprice lets us focus on the core business instead of building billing as a second product.
If billing doesn't work, we don't make money. Flexprice lets us focus on the core business instead of building billing as a second product.
Shubhendu Shishir
Head of Engg | Simplismart
In this section
Introduction
Both Flexprice and Lago are open-source billing platforms. If you are evaluating open-source options, that already puts you ahead of teams locked into closed-source vendors.
Lago handles the fundamentals well. It supports usage-based metering, basic credit wallets, event aggregation, and flexible charge models.
For teams with straightforward billing needs and standard metering workflows, Lago is a reasonable starting point.
And you should stick with Lago if:
Your billing needs are limited to basic usage-based metering with simple aggregation and you do not need advanced credit workflows like promotional conversion rates, per-feature balance alerts, or invoice-backed top-ups
You do not need parent-child account hierarchy, ramped contracts, or contract amendments with versioning
You are comfortable with entitlements that are tightly coupled to subscriptions rather than operating as an independent, flexible layer
You do not need to iterate on pricing frequently or run A/B pricing experiments on live plans without creating new plan versions
You are fine with building your own customer-facing billing portal since Lago gates theirs behind the premium cloud plan
If you’re getting started and
have 2–3 simple plans and don’t have to work with multiple LLM models,Stripe is a great
choice for you
If you're already aware of the
Stripe ecosystem and comfortable with workarounds, stay with it
If you don’t mind maintaining multiple contracts manually in spreadsheets or across multiple tools
Category
Category
Category
Lago
Basic Usage-Based Pricing
✅
Supports basic usage-based pricing and advanced workflows like hybrid plans, committed usage, outcome-based billing, and multi-metric billing.
Built on Go + Kafka, architected for 60K+ events/sec.
✅
Supports basic usage-based pricing and advanced workflows like hybrid plans, committed usage, outcome-based billing, and multi-metric billing.
Built on Go + Kafka, architected for 60K+ events/sec.
✅
Supports basic usage-based pricing and advanced workflows like hybrid plans, committed usage, outcome-based billing, and multi-metric billing.
Built on Go + Kafka, architected for 60K+ events/sec.
✅
Supports usage-based billing with metering, aggregations, and flexible charge models.
Ruby-based engine handles roughly 15K billing events/sec. Good foundation for standard metering workflows.
✅
Supports usage-based billing with metering, aggregations, and flexible charge models.
Ruby-based engine handles roughly 15K billing events/sec. Good foundation for standard metering workflows.
✅
Supports usage-based billing with metering, aggregations, and flexible charge models.
Ruby-based engine handles roughly 15K billing events/sec. Good foundation for standard metering workflows.
Basic Credit-Based Workflows
✅
Full credit system with prepaid wallets, recurring grants, rollover logic, real-time wallet sync, and auto top-ups with invoice-backed checkout flow.
Multiple credit types supported with configurable expiration and balance tracking.
✅
Full credit system with prepaid wallets, recurring grants, rollover logic, real-time wallet sync, and auto top-ups with invoice-backed checkout flow.
Multiple credit types supported with configurable expiration and balance tracking.
✅
Full credit system with prepaid wallets, recurring grants, rollover logic, real-time wallet sync, and auto top-ups with invoice-backed checkout flow.
Multiple credit types supported with configurable expiration and balance tracking.
✅
Supports wallets with prepaid credits, recurring top-ups on weekly to yearly schedules, and expiration dates.
Up to 5 active wallets per customer. Credits carry over by default until wallet depletes or expiration hits. Solid foundation for standard credit workflows.
✅
Supports wallets with prepaid credits, recurring top-ups on weekly to yearly schedules, and expiration dates.
Up to 5 active wallets per customer. Credits carry over by default until wallet depletes or expiration hits. Solid foundation for standard credit workflows.
✅
Supports wallets with prepaid credits, recurring top-ups on weekly to yearly schedules, and expiration dates.
Up to 5 active wallets per customer. Credits carry over by default until wallet depletes or expiration hits. Solid foundation for standard credit workflows.
Advanced Credit Workflows
✅
Separate spend vs. top-up conversion rates let you run promotional credit campaigns without distorting revenue accounting.
Per-feature low-balance alerts with multi-level thresholds (Info, Warning, Critical) and webhook notifications. Invoice-backed credit checkout with automatic wallet replenishment after payment confirmation.
✅
Separate spend vs. top-up conversion rates let you run promotional credit campaigns without distorting revenue accounting.
Per-feature low-balance alerts with multi-level thresholds (Info, Warning, Critical) and webhook notifications. Invoice-backed credit checkout with automatic wallet replenishment after payment confirmation.
✅
Separate spend vs. top-up conversion rates let you run promotional credit campaigns without distorting revenue accounting.
Per-feature low-balance alerts with multi-level thresholds (Info, Warning, Critical) and webhook notifications. Invoice-backed credit checkout with automatic wallet replenishment after payment confirmation.
❌
No separate spend vs. top-up conversion rates. Promotional credit purchases use the same rate as credit consumption, making bonus campaigns harder to model cleanly.
No per-feature low-balance alerts or multi-level threshold notifications. No invoice-backed checkout flow for credit top-ups.
❌
No separate spend vs. top-up conversion rates. Promotional credit purchases use the same rate as credit consumption, making bonus campaigns harder to model cleanly.
No per-feature low-balance alerts or multi-level threshold notifications. No invoice-backed checkout flow for credit top-ups.
❌
No separate spend vs. top-up conversion rates. Promotional credit purchases use the same rate as credit consumption, making bonus campaigns harder to model cleanly.
No per-feature low-balance alerts or multi-level threshold notifications. No invoice-backed checkout flow for credit top-ups.
Ramped Contracts
✅
Native support for ramped contracts. Define custom price timelines that auto-update without manual work.
Move customers from pilot to scaled phases with changing prices or minimums over time, zero custom code.
✅
Native support for ramped contracts. Define custom price timelines that auto-update without manual work.
Move customers from pilot to scaled phases with changing prices or minimums over time, zero custom code.
✅
Native support for ramped contracts. Define custom price timelines that auto-update without manual work.
Move customers from pilot to scaled phases with changing prices or minimums over time, zero custom code.
❌
No native support for contract ramping.
You need to manually create multiple plan versions or build scheduling logic in your backend to handle pilot-to-scale pricing transitions.
❌
No native support for contract ramping.
You need to manually create multiple plan versions or build scheduling logic in your backend to handle pilot-to-scale pricing transitions.
❌
No native support for contract ramping.
You need to manually create multiple plan versions or build scheduling logic in your backend to handle pilot-to-scale pricing transitions.
Quotes and Renewals
✅
Built-in quote system with pricing lock-ins, approvals, and automatic sync with billing and revenue workflows.
CRM integration (HubSpot, Salesforce) keeps deals, subscriptions, and invoices aligned bi-directionally.
✅
Built-in quote system with pricing lock-ins, approvals, and automatic sync with billing and revenue workflows.
CRM integration (HubSpot, Salesforce) keeps deals, subscriptions, and invoices aligned bi-directionally.
✅
Built-in quote system with pricing lock-ins, approvals, and automatic sync with billing and revenue workflows.
CRM integration (HubSpot, Salesforce) keeps deals, subscriptions, and invoices aligned bi-directionally.
❌
No built-in quote or renewal management. Sales-led deals require external tooling.
Custom quotes are typically tracked in spreadsheets, PDFs, or CRM add-ons (available as paid add-on for HubSpot/Salesforce sync).
❌
No built-in quote or renewal management. Sales-led deals require external tooling.
Custom quotes are typically tracked in spreadsheets, PDFs, or CRM add-ons (available as paid add-on for HubSpot/Salesforce sync).
❌
No built-in quote or renewal management. Sales-led deals require external tooling.
Custom quotes are typically tracked in spreadsheets, PDFs, or CRM add-ons (available as paid add-on for HubSpot/Salesforce sync).
Committed Usage and Credit Pooling
✅
Define org-level usage commitments with configurable overage factors (1.5x premium, 1.0x flat, 0.8x discount), true-up enforcement, and even windowed commitments (hourly buckets).
Credit pooling across parent-child accounts is built in.
✅
Define org-level usage commitments with configurable overage factors (1.5x premium, 1.0x flat, 0.8x discount), true-up enforcement, and even windowed commitments (hourly buckets).
Credit pooling across parent-child accounts is built in.
✅
Define org-level usage commitments with configurable overage factors (1.5x premium, 1.0x flat, 0.8x discount), true-up enforcement, and even windowed commitments (hourly buckets).
Credit pooling across parent-child accounts is built in.
⚠️
Supports minimum commitments with true-up fees calculated in arrears. Per-customer commitment overrides available.
However, no credit pooling across accounts, no configurable overage multipliers, and no windowed commitment buckets.
⚠️
Supports minimum commitments with true-up fees calculated in arrears. Per-customer commitment overrides available.
However, no credit pooling across accounts, no configurable overage multipliers, and no windowed commitment buckets.
⚠️
Supports minimum commitments with true-up fees calculated in arrears. Per-customer commitment overrides available.
However, no credit pooling across accounts, no configurable overage multipliers, and no windowed commitment buckets.
Parent-Child Accounts
✅
Supports org-level billing, credit sharing, and unified usage across teams. Ideal for cross-department expansion, reseller models, and multi-region subsidiaries.
Roll up invoices from child entities into a single parent. All open source.
✅
Supports org-level billing, credit sharing, and unified usage across teams. Ideal for cross-department expansion, reseller models, and multi-region subsidiaries.
Roll up invoices from child entities into a single parent. All open source.
✅
Supports org-level billing, credit sharing, and unified usage across teams. Ideal for cross-department expansion, reseller models, and multi-region subsidiaries.
Roll up invoices from child entities into a single parent. All open source.
✅
No account hierarchy or shared billing. Each subscription is standalone.
Multi-entity organizations need custom workarounds for consolidated invoicing, credit sharing, or departmental rollups.
✅
No account hierarchy or shared billing. Each subscription is standalone.
Multi-entity organizations need custom workarounds for consolidated invoicing, credit sharing, or departmental rollups.
✅
No account hierarchy or shared billing. Each subscription is standalone.
Multi-entity organizations need custom workarounds for consolidated invoicing, credit sharing, or departmental rollups.
✅
No account hierarchy or shared billing. Each subscription is standalone.
Multi-entity organizations need custom workarounds for consolidated invoicing, credit sharing, or departmental rollups.
Granular Usage Filtering
✅
Supports filtering within usage events. Define pricing per model, token type, or any metadata in a single event stream.
Price GPT-4 differently from GPT-4o without creating separate billable metrics.
✅
Supports filtering within usage events. Define pricing per model, token type, or any metadata in a single event stream.
Price GPT-4 differently from GPT-4o without creating separate billable metrics.
✅
Supports filtering within usage events. Define pricing per model, token type, or any metadata in a single event stream.
Price GPT-4 differently from GPT-4o without creating separate billable metrics.
✅
Supports event property filtering with keys like "model" and "type" to segment billing.
Can create filters to differentiate pricing by model or input/output type within a single billable metric.
✅
Supports event property filtering with keys like "model" and "type" to segment billing.
Can create filters to differentiate pricing by model or input/output type within a single billable metric.
✅
Supports event property filtering with keys like "model" and "type" to segment billing.
Can create filters to differentiate pricing by model or input/output type within a single billable metric.
Feature Entitlements
✅
Fully integrated entitlement management as an independent layer. Set plan-based feature limits with usage tracking, reset logic, and real-time enforcement.
Per-customer overrides, dynamic feature experiments, and contract-level entitlements without changing the underlying plan.
✅
Fully integrated entitlement management as an independent layer. Set plan-based feature limits with usage tracking, reset logic, and real-time enforcement.
Per-customer overrides, dynamic feature experiments, and contract-level entitlements without changing the underlying plan.
✅
Fully integrated entitlement management as an independent layer. Set plan-based feature limits with usage tracking, reset logic, and real-time enforcement.
Per-customer overrides, dynamic feature experiments, and contract-level entitlements without changing the underlying plan.
⚠️
Supports entitlements as plan-level features alongside usage metrics. However, entitlements are tightly coupled to the subscription lifecycle (Plan to Subscription to Feature) rather than operating as a flexible entitlement layer.
Payment-based access restriction is indirect. Your app must check subscription status manually. Per-customer overrides and dynamic feature experiments are difficult at scale.
⚠️
Supports entitlements as plan-level features alongside usage metrics. However, entitlements are tightly coupled to the subscription lifecycle (Plan to Subscription to Feature) rather than operating as a flexible entitlement layer.
Payment-based access restriction is indirect. Your app must check subscription status manually. Per-customer overrides and dynamic feature experiments are difficult at scale.
⚠️
Supports entitlements as plan-level features alongside usage metrics. However, entitlements are tightly coupled to the subscription lifecycle (Plan to Subscription to Feature) rather than operating as a flexible entitlement layer.
Payment-based access restriction is indirect. Your app must check subscription status manually. Per-customer overrides and dynamic feature experiments are difficult at scale.
Recurring and Rollover Credits
✅
Natively define recurring credits with rollover caps, auto top-ups with invoice-backed checkout, and balance thresholds. Real-time wallet sync, multiple credit types, and promotional credit campaigns that do not distort accounting.
✅
Natively define recurring credits with rollover caps, auto top-ups with invoice-backed checkout, and balance thresholds. Real-time wallet sync, multiple credit types, and promotional credit campaigns that do not distort accounting.
✅
Natively define recurring credits with rollover caps, auto top-ups with invoice-backed checkout, and balance thresholds. Real-time wallet sync, multiple credit types, and promotional credit campaigns that do not distort accounting.
⚠️
Recurring top-ups on weekly/monthly/quarterly/yearly schedules. Credits carry over by default until wallet depletes or expiration date hits. No invoice-backed checkout flow for top-ups, no promotional credit separation, no per-feature balance thresholds.
⚠️
Recurring top-ups on weekly/monthly/quarterly/yearly schedules. Credits carry over by default until wallet depletes or expiration date hits. No invoice-backed checkout flow for top-ups, no promotional credit separation, no per-feature balance thresholds.
⚠️
Recurring top-ups on weekly/monthly/quarterly/yearly schedules. Credits carry over by default until wallet depletes or expiration date hits. No invoice-backed checkout flow for top-ups, no promotional credit separation, no per-feature balance thresholds.
Multi-Pool Credit and Token Infrastructure
✅
Purpose-built for AI token economics. Assign dynamic credit values to features based on internal cost metrics.
Multiple credit pools with wallet hierarchies, cross-model pricing (GPT-4 vs GPT-4o), per-model cost tracking, and wallet + entitlement coupling. Custom pricing units with configurable conversion rates.
✅
Purpose-built for AI token economics. Assign dynamic credit values to features based on internal cost metrics.
Multiple credit pools with wallet hierarchies, cross-model pricing (GPT-4 vs GPT-4o), per-model cost tracking, and wallet + entitlement coupling. Custom pricing units with configurable conversion rates.
✅
Purpose-built for AI token economics. Assign dynamic credit values to features based on internal cost metrics.
Multiple credit pools with wallet hierarchies, cross-model pricing (GPT-4 vs GPT-4o), per-model cost tracking, and wallet + entitlement coupling. Custom pricing units with configurable conversion rates.
⚠️
Wallets can be scoped to specific billable metrics and now supports custom pricing units with conversion to fiat for invoicing. However, credit systems are still primarily tied to plans and charges rather than operating as a fully flexible multi-pool credit infrastructure. Lacks wallet hierarchies, dynamic per-model token pricing, and deep wallet + entitlement coupling.
⚠️
Wallets can be scoped to specific billable metrics and now supports custom pricing units with conversion to fiat for invoicing. However, credit systems are still primarily tied to plans and charges rather than operating as a fully flexible multi-pool credit infrastructure. Lacks wallet hierarchies, dynamic per-model token pricing, and deep wallet + entitlement coupling.
⚠️
Wallets can be scoped to specific billable metrics and now supports custom pricing units with conversion to fiat for invoicing. However, credit systems are still primarily tied to plans and charges rather than operating as a fully flexible multi-pool credit infrastructure. Lacks wallet hierarchies, dynamic per-model token pricing, and deep wallet + entitlement coupling.
Contract Amendments
✅
Full contract history with versioning. See upgrades, downgrades, and renegotiations over time.
Crucial for revenue accuracy and audit trails. Pricing iterations let you control what changes, who gets it, and when it rolls out.
✅
Full contract history with versioning. See upgrades, downgrades, and renegotiations over time.
Crucial for revenue accuracy and audit trails. Pricing iterations let you control what changes, who gets it, and when it rolls out.
✅
Full contract history with versioning. See upgrades, downgrades, and renegotiations over time.
Crucial for revenue accuracy and audit trails. Pricing iterations let you control what changes, who gets it, and when it rolls out.
⚠️
Supports subscription upgrades and downgrades, but no structured contract versioning or amendment history. Plan changes are applied, but there is no audit trail showing the full negotiation timeline for enterprise deals.
⚠️
Supports subscription upgrades and downgrades, but no structured contract versioning or amendment history. Plan changes are applied, but there is no audit trail showing the full negotiation timeline for enterprise deals.
⚠️
Supports subscription upgrades and downgrades, but no structured contract versioning or amendment history. Plan changes are applied, but there is no audit trail showing the full negotiation timeline for enterprise deals.
Contract Amendments
✅
Full contract history with versioning. See upgrades, downgrades, and renegotiations over time.
Crucial for revenue accuracy and audit trails. Pricing iterations let you control what changes, who gets it, and when it rolls out.
✅
Full contract history with versioning. See upgrades, downgrades, and renegotiations over time.
Crucial for revenue accuracy and audit trails. Pricing iterations let you control what changes, who gets it, and when it rolls out.
✅
Full contract history with versioning. See upgrades, downgrades, and renegotiations over time.
Crucial for revenue accuracy and audit trails. Pricing iterations let you control what changes, who gets it, and when it rolls out.
⚠️
Supports subscription upgrades and downgrades, but no structured contract versioning or amendment history. Plan changes are applied, but there is no audit trail showing the full negotiation timeline for enterprise deals.
⚠️
Supports subscription upgrades and downgrades, but no structured contract versioning or amendment history. Plan changes are applied, but there is no audit trail showing the full negotiation timeline for enterprise deals.
⚠️
Supports subscription upgrades and downgrades, but no structured contract versioning or amendment history. Plan changes are applied, but there is no audit trail showing the full negotiation timeline for enterprise deals.
Pricing Iterations
✅
Native price versioning and staged rollouts. Control what changes, who gets it, and when it applies. Iterate on live plans without creating new ones.
Gradual rollout to segments, A/B pricing experiments, and full version history with audit trails.
✅
Native price versioning and staged rollouts. Control what changes, who gets it, and when it applies. Iterate on live plans without creating new ones.
Gradual rollout to segments, A/B pricing experiments, and full version history with audit trails.
✅
Native price versioning and staged rollouts. Control what changes, who gets it, and when it applies. Iterate on live plans without creating new ones.
Gradual rollout to segments, A/B pricing experiments, and full version history with audit trails.
⚠️
Technically supports pricing changes. You can update amounts and charges on active plans. But core properties (billing interval, pay-in-advance vs arrears, prorating) are locked once a plan has subscribers.
Changes propagate instantly to all subscriptions unless overridden, which is risky for experiments. True iteration requires creating new plans, migrating customers, and maintaining legacy versions manually. No native staged rollouts or A/B pricing.
⚠️
Technically supports pricing changes. You can update amounts and charges on active plans. But core properties (billing interval, pay-in-advance vs arrears, prorating) are locked once a plan has subscribers.
Changes propagate instantly to all subscriptions unless overridden, which is risky for experiments. True iteration requires creating new plans, migrating customers, and maintaining legacy versions manually. No native staged rollouts or A/B pricing.
⚠️
Technically supports pricing changes. You can update amounts and charges on active plans. But core properties (billing interval, pay-in-advance vs arrears, prorating) are locked once a plan has subscribers.
Changes propagate instantly to all subscriptions unless overridden, which is risky for experiments. True iteration requires creating new plans, migrating customers, and maintaining legacy versions manually. No native staged rollouts or A/B pricing.
MCP Server / Agent-Native Billing
✅
First billing platform with an MCP server. Connect Cursor, Claude Code, VS Code, Gemini, or Windsurf directly to your billing dashboard.
Every API operation is exposed as an MCP tool.
Create subscriptions, configure commitments, issue invoices, and manage wallets through prompts
✅
First billing platform with an MCP server. Connect Cursor, Claude Code, VS Code, Gemini, or Windsurf directly to your billing dashboard.
Every API operation is exposed as an MCP tool.
Create subscriptions, configure commitments, issue invoices, and manage wallets through prompts
✅
First billing platform with an MCP server. Connect Cursor, Claude Code, VS Code, Gemini, or Windsurf directly to your billing dashboard.
Every API operation is exposed as an MCP tool.
Create subscriptions, configure commitments, issue invoices, and manage wallets through prompts
❌
No MCP server or agent-native billing interface. All billing configuration requires manual UI interaction or direct API calls.
No way for AI assistants or coding agents to directly operate billing infrastructure.
❌
No MCP server or agent-native billing interface. All billing configuration requires manual UI interaction or direct API calls.
No way for AI assistants or coding agents to directly operate billing infrastructure.
❌
No MCP server or agent-native billing interface. All billing configuration requires manual UI interaction or direct API calls.
No way for AI assistants or coding agents to directly operate billing infrastructure.
Customer Portal
✅
Self-serve portal for your customers to view subscriptions, invoices, wallet balances, credit history, and feature-level usage breakdowns.
All included in the open-source tier. Reduces billing support tickets immediately.
✅
Self-serve portal for your customers to view subscriptions, invoices, wallet balances, credit history, and feature-level usage breakdowns.
All included in the open-source tier. Reduces billing support tickets immediately.
✅
Self-serve portal for your customers to view subscriptions, invoices, wallet balances, credit history, and feature-level usage breakdowns.
All included in the open-source tier. Reduces billing support tickets immediately.
⚠️
Customer portal exists but is gated behind Lago's premium plan. Not available in the open-source version.
Teams on the free/self-hosted tier need to build their own customer-facing billing views..
⚠️
Customer portal exists but is gated behind Lago's premium plan. Not available in the open-source version.
Teams on the free/self-hosted tier need to build their own customer-facing billing views..
⚠️
Customer portal exists but is gated behind Lago's premium plan. Not available in the open-source version.
Teams on the free/self-hosted tier need to build their own customer-facing billing views..
Outcome-Based Billing
✅
Charge customers for actual results. Resolved tickets, successful calls, completed workflows. Not raw API calls or tokens.
Purpose-built for AI companies selling business outcomes where value alignment drives expansion.
✅
Charge customers for actual results. Resolved tickets, successful calls, completed workflows. Not raw API calls or tokens.
Purpose-built for AI companies selling business outcomes where value alignment drives expansion.
✅
Charge customers for actual results. Resolved tickets, successful calls, completed workflows. Not raw API calls or tokens.
Purpose-built for AI companies selling business outcomes where value alignment drives expansion.
❌
No native outcome-based billing model. You can track events and bill on usage, but there is no built-in abstraction for tying billing to business outcomes.
Requires custom event definitions and manual mapping to results
❌
No native outcome-based billing model. You can track events and bill on usage, but there is no built-in abstraction for tying billing to business outcomes.
Requires custom event definitions and manual mapping to results
❌
No native outcome-based billing model. You can track events and bill on usage, but there is no built-in abstraction for tying billing to business outcomes.
Requires custom event definitions and manual mapping to results
Open-Source Feature Completeness
✅
All features included in OSS. Customer portal, RBAC, service accounts, customer hierarchy, CRM sync, commitment discounts, wallets, entitlements.
No premium gating. Cloud offering adds hosting and support, not features.
✅
All features included in OSS. Customer portal, RBAC, service accounts, customer hierarchy, CRM sync, commitment discounts, wallets, entitlements.
No premium gating. Cloud offering adds hosting and support, not features.
✅
All features included in OSS. Customer portal, RBAC, service accounts, customer hierarchy, CRM sync, commitment discounts, wallets, entitlements.
No premium gating. Cloud offering adds hosting and support, not features.
⚠️
Core metering and billing are open source. However, customer portal, RBAC, branded invoices, and some advanced features are gated behind Lago Cloud premium plans.
Self-hosted teams miss out on enterprise capabilities.
⚠️
Core metering and billing are open source. However, customer portal, RBAC, branded invoices, and some advanced features are gated behind Lago Cloud premium plans.
Self-hosted teams miss out on enterprise capabilities.
⚠️
Core metering and billing are open source. However, customer portal, RBAC, branded invoices, and some advanced features are gated behind Lago Cloud premium plans.
Self-hosted teams miss out on enterprise capabilities.
In this section
When Lago Starts Breaking
Lago handles basic usage-based metering and simple credit workflows well.
But the second you need enterprise contracts, advanced credit logic, pricing experimentation, or responsive support on the open-source tier, the gaps become real.
Here is exactly where:
Lago has no parent-child account hierarchy
Your first enterprise deal often starts with one team. Then it grows. Marketing signs up. Then ops. Then finance.
And the customer asks perfectly reasonable questions. Can we add everyone under one account? Can we get a single invoice for all teams? Can our credits be shared across departments?
With Lago, the answer to all of these is no. Every subscription is standalone. There is no parent-child hierarchy. No way to roll up multiple accounts under one billing profile. No shared usage or credits across entities.
So you build workarounds. You create manual rollup logic in your backend. You track departmental usage in spreadsheets. When the customer asks for an org-wide usage summary, you export data from five different accounts and stitch it together.
For AI companies selling into multi-department enterprises or running reseller models, this is not an edge case. It is how your largest customers will expect billing to work from day one.
Lago entitlements are coupled to subscriptions, not flexible
Most AI products do not just sell access. They sell limits. 10 credits, 50 video minutes, 30 seconds of generative output. Each plan gives a different mix of these.
Lago supports entitlements as plan-level features alongside usage metrics. But entitlements in Lago are tightly coupled to the subscription lifecycle. The flow is Plan to Subscription to Feature. Payment-based access restriction is indirect because your app must check subscription status manually.
This means per-customer overrides are difficult at scale. You cannot easily run dynamic feature experiments or set contract-level entitlements without changing the underlying plan.
If you want to give one specific customer a higher limit or test whether increasing a feature limit improves conversion, you are stuck creating one-off plan variations.
As your product matures and pricing becomes more nuanced, this coupling turns into a constraint. You need entitlements to operate as an independent layer that can be adjusted per customer, per contract, and per experiment without touching the plan structure.
Get started with your billing today.
Get started with your billing today.
Pricing iteration in Lago is structurally limited
AI companies iterate on pricing constantly. You launch a model, see how customers use it, adjust rates, test new packaging, and repeat. This is not a quarterly exercise. It is weekly.
Lago technically lets you change prices on active plans. You can update amounts and charges. But core properties like billing interval, pay-in-advance vs arrears, and prorating behavior are locked once a plan has subscribers. Changes propagate instantly to all subscriptions unless you manually override each one, which is risky for experiments.
True pricing iteration in Lago requires creating entirely new plans, migrating customers from old plans to new ones, and maintaining legacy plan versions manually. There are no staged rollouts. No A/B pricing tests. No way to say "roll this price change out to 10% of customers first, then expand if metrics hold."
Simplismart experienced this directly. Their billing system before Flexprice made pricing iteration practically impossible. Every change required engineering intervention, weeks of delays, and zero room for experimentation. Sales teams were blocked by engineering for every price change.
"When we started building our own billing engine on top of Lago, it took us around 1.5 to 2 months to build something which is not something you would like to build."
- Shubhendu Shishir, Head of Engineering, Simplismart
After switching to Flexprice, Simplismart achieved 6x faster pricing iteration and scaled to 750+ pricing features.u can afford while you're getting started. That's a false trade-off.
Pricing iteration in Lago is structurally limited
AI companies iterate on pricing constantly. You launch a model, see how customers use it, adjust rates, test new packaging, and repeat. This is not a quarterly exercise. It is weekly.
Lago technically lets you change prices on active plans. You can update amounts and charges. But core properties like billing interval, pay-in-advance vs arrears, and prorating behavior are locked once a plan has subscribers. Changes propagate instantly to all subscriptions unless you manually override each one, which is risky for experiments.
True pricing iteration in Lago requires creating entirely new plans, migrating customers from old plans to new ones, and maintaining legacy plan versions manually. There are no staged rollouts. No A/B pricing tests. No way to say "roll this price change out to 10% of customers first, then expand if metrics hold."
Simplismart experienced this directly. Their billing system before Flexprice made pricing iteration practically impossible. Every change required engineering intervention, weeks of delays, and zero room for experimentation. Sales teams were blocked by engineering for every price change.
"When we started building our own billing engine on top of Lago, it took us around 1.5 to 2 months to build something which is not something you would like to build."
- Shubhendu Shishir, Head of Engineering, Simplismart
After switching to Flexprice, Simplismart achieved 6x faster pricing iteration and scaled to 750+ pricing features.u can afford while you're getting started. That's a false trade-off.
Advanced credit workflows are missing in Lago
Basic credits work fine in Lago. You can create wallets, set up recurring top-ups, and configure expiration dates. Up to 5 active wallets per customer.
But AI companies doing credit-based billing at scale need more than the basics.
Lago does not support separate spend vs. top-up conversion rates. This matters when you run promotional credit campaigns. If a customer buys 1,000 credits at a 20% bonus, the promotional credits and paid credits should use different conversion rates for revenue accounting.
In Lago, they use the same rate, which makes bonus campaigns harder to model cleanly.
There are no per-feature low-balance alerts with multi-level thresholds. You cannot set up notifications that say "send an Info alert at 500 credits remaining, a Warning at 200, and a Critical at 50 with a webhook to trigger auto top-up." This is standard for AI platforms where customers burn through credits at variable rates depending on which models they use.
And there is no invoice-backed checkout flow for credit top-ups. When a customer runs low, you want them to click "top up," generate an invoice, process payment, and replenish the wallet automatically. In Lago, this flow has to be built from scratch.
Segwise, an AI-powered creative analytics platform, spent 3 weeks trying to build credit-based pricing in-house before switching to Flexprice and shipping it in 3 days. They now track 100+ enterprise customers with zero manual intervention and have full visibility into credit usage and burn rates.
"Our core product is not credits. We build ad creative analysis and generation technology, not billing infrastructure, and that is where my focus needs to be."
- Kush Daga, Founding Engineer, Segwise
Advanced credit workflows are missing in Lago
Basic credits work fine in Lago. You can create wallets, set up recurring top-ups, and configure expiration dates. Up to 5 active wallets per customer.
But AI companies doing credit-based billing at scale need more than the basics.
Lago does not support separate spend vs. top-up conversion rates. This matters when you run promotional credit campaigns. If a customer buys 1,000 credits at a 20% bonus, the promotional credits and paid credits should use different conversion rates for revenue accounting.
In Lago, they use the same rate, which makes bonus campaigns harder to model cleanly.
There are no per-feature low-balance alerts with multi-level thresholds. You cannot set up notifications that say "send an Info alert at 500 credits remaining, a Warning at 200, and a Critical at 50 with a webhook to trigger auto top-up." This is standard for AI platforms where customers burn through credits at variable rates depending on which models they use.
And there is no invoice-backed checkout flow for credit top-ups. When a customer runs low, you want them to click "top up," generate an invoice, process payment, and replenish the wallet automatically. In Lago, this flow has to be built from scratch.
Segwise, an AI-powered creative analytics platform, spent 3 weeks trying to build credit-based pricing in-house before switching to Flexprice and shipping it in 3 days. They now track 100+ enterprise customers with zero manual intervention and have full visibility into credit usage and burn rates.
"Our core product is not credits. We build ad creative analysis and generation technology, not billing infrastructure, and that is where my focus needs to be."
- Kush Daga, Founding Engineer, Segwise
Lago gates enterprise features behind premium plans
Both Flexprice and Lago are open source. But the depth of what ships in the open-source tier is very different.
In Flexprice, every feature ships in the open-source version. Customer portal, RBAC, service accounts, customer hierarchy, CRM sync, commitment discounts, wallets, entitlements, ramped contracts. The cloud offering adds hosting and support, not features.
In Lago, core metering and billing are open source. But the customer portal, RBAC, branded invoices, and several advanced features are gated behind Lago Cloud premium plans. Self-hosted teams miss out on enterprise capabilities that are critical for scaling.
This creates a frustrating dynamic. You choose open source for transparency and control. But as you grow and need features like a customer-facing billing portal or role-based access control, you are told to upgrade to the premium cloud plan.
The open-source version becomes a lead-generation tool rather than a complete billing platform.
Get started with your billing today.
Get started with your billing today.
Lago support on the open-source tier is unreliable
This is something we hear directly from teams migrating to Flexprice. Multiple customers have told us they tried reaching Lago support while on the open-source tier and could not get a reply for months.
When your billing system has an issue and nobody responds, this is not a minor inconvenience. It directly impacts revenue. Invoices go out wrong. Credits get miscounted. Customers lose trust.
Simplismart experienced this pattern during their time building on top of Lago. Their billing system broke during heavy load. 20 to 30% of a developer's daily bandwidth was consumed maintaining it. Month-end finance reconciliation still required manual intervention. And when things went wrong, getting help was not an option.
After switching to Flexprice, Simplismart reclaimed 30% of daily engineering bandwidth and saved $145K+ annually. The billing system stopped being a side project that consumed engineering time and started being infrastructure that just worked.
Lago support on the open-source tier is unreliable
This is something we hear directly from teams migrating to Flexprice. Multiple customers have told us they tried reaching Lago support while on the open-source tier and could not get a reply for months.
When your billing system has an issue and nobody responds, this is not a minor inconvenience. It directly impacts revenue. Invoices go out wrong. Credits get miscounted. Customers lose trust.
Simplismart experienced this pattern during their time building on top of Lago. Their billing system broke during heavy load. 20 to 30% of a developer's daily bandwidth was consumed maintaining it. Month-end finance reconciliation still required manual intervention. And when things went wrong, getting help was not an option.
After switching to Flexprice, Simplismart reclaimed 30% of daily engineering bandwidth and saved $145K+ annually. The billing system stopped being a side project that consumed engineering time and started being infrastructure that just worked.
Lago has no MCP server or agent-native billing
If you are building AI or agentic products, your internal tools should be AI-native too. That includes billing.
Flexprice ships with a Model Context Protocol (MCP) server. You can connect Cursor, Claude Code, VS Code, Gemini, or Windsurf directly to your billing dashboard. Every API operation is an MCP tool. Create subscriptions, configure commitments, issue invoices, manage wallets through natural language prompts.
A non-technical founder can configure pricing without touching a dashboard or writing API calls. An engineer can set up a new pricing tier while they are already in their coding environment.
This removes the friction between "deciding on a price change" and "actually shipping it."
Lago does not have an MCP server. All billing configuration requires manual UI interaction or direct API calls. For AI companies that believe in building with AI, the billing platform should match that philosophy.
Lago does not support outcome-based billing
The next wave of AI pricing is not about tokens or API calls. It is about outcomes. Resolved support tickets. Successful phone calls. Completed workflows. Qualified leads.
When you charge for outcomes, you align your revenue with the value your customer actually receives. This drives higher retention, shorter sales cycles, and natural expansion revenue. It also changes how
customers evaluate your product.
They stop comparing you on price-per-token and start comparing you on ROI.
Lago tracks events and bills on usage. But there is no built-in abstraction for tying billing to business outcomes. If you want to charge per resolved ticket or per successful call, you need to define custom event types and build the outcome-tracking logic yourself.
For AI companies where the product delivers measurable business results, this gap means building and maintaining an entire outcome-to-billing pipeline outside your billing platform.
Why Teams Choose Flexprice Over Lago?
1. Same open-source philosophy, deeper feature set
Flexprice and Lago share the same belief that billing infrastructure should be open source. But Flexprice takes that further by shipping every feature in the open-source tier. Customer portal, RBAC, CRM sync, parent-child accounts, entitlements, ramped contracts, commitment discounts. No premium gating. No "upgrade to unlock."
NurtureV, a platform with roughly 70 paid actions that constantly iterates pricing based on experimentation and vendor contracts, saw meaningful results within a week.
"Right off the bat saves crucial dev hours. For any new and lean team building anything serious, it is a must have and a no brainer."
Why Teams Choose Flexprice Over Lago?
1. Same open-source philosophy, deeper feature set
Flexprice and Lago share the same belief that billing infrastructure should be open source. But Flexprice takes that further by shipping every feature in the open-source tier. Customer portal, RBAC, CRM sync, parent-child accounts, entitlements, ramped contracts, commitment discounts. No premium gating. No "upgrade to unlock."
NurtureV, a platform with roughly 70 paid actions that constantly iterates pricing based on experimentation and vendor contracts, saw meaningful results within a week.
"Right off the bat saves crucial dev hours. For any new and lean team building anything serious, it is a must have and a no brainer."
"We had to launch our new product and needed a billing solution that could handle billions of events without any latency issues or downtime. Flexprice ensured smooth operations and gave us the confidence to scale"
Divyanshu Makkar
Divyanshu Makkar
Founder
2. Enterprise contracts without enterprise complexity
Flexprice supports ramped contracts where you define custom price timelines that auto-update as customers move from pilot to scaled phases. Commitment discounts with configurable overage factors let you offer 1.5x premium, 1.0x flat, or 0.8x discounted overage rates depending on the deal. Windowed commitments support hourly usage buckets for real-time enforcement.
Contract amendments come with full versioning. You can see every upgrade, downgrade, and renegotiation over time. This is crucial for revenue accuracy, audit trails, and the trust that enterprise customers expect.
Lago does not support ramped contracts, contract versioning, or configurable overage multipliers natively. Each of these requires custom workarounds.
2. Enterprise contracts without enterprise complexity
Flexprice supports ramped contracts where you define custom price timelines that auto-update as customers move from pilot to scaled phases. Commitment discounts with configurable overage factors let you offer 1.5x premium, 1.0x flat, or 0.8x discounted overage rates depending on the deal. Windowed commitments support hourly usage buckets for real-time enforcement.
Contract amendments come with full versioning. You can see every upgrade, downgrade, and renegotiation over time. This is crucial for revenue accuracy, audit trails, and the trust that enterprise customers expect.
Lago does not support ramped contracts, contract versioning, or configurable overage multipliers natively. Each of these requires custom workarounds.
3. Pricing iteration built for the speed AI companies need
Flexprice supports native price versioning and staged rollouts. You can control what changes, who gets it, and when it applies. Iterate on live plans without creating new ones.
Gradually roll out to specific segments. Run A/B pricing experiments. Maintain full version history with audit trails.
Simplismart went from a billing system where every pricing change required engineering intervention and weeks of delays to one where they iterate 6x faster.
They scaled from manual billing to 750+ pricing features and reclaimed 30% of daily engineering bandwidth.
"Our team focuses on shipping a product focusing on our core offering and values, instead of focusing on pricing, usage monitoring, and similar tasks." - NurtureV
3. Pricing iteration built for the speed AI companies need
Flexprice supports native price versioning and staged rollouts. You can control what changes, who gets it, and when it applies. Iterate on live plans without creating new ones.
Gradually roll out to specific segments. Run A/B pricing experiments. Maintain full version history with audit trails.
Simplismart went from a billing system where every pricing change required engineering intervention and weeks of delays to one where they iterate 6x faster.
They scaled from manual billing to 750+ pricing features and reclaimed 30% of daily engineering bandwidth.
"Our team focuses on shipping a product focusing on our core offering and values, instead of focusing on pricing, usage monitoring, and similar tasks." - NurtureV
4. Credit infrastructure built for AI token economics
Flexprice supports separate spend vs. top-up conversion rates so promotional campaigns do not distort revenue accounting. Per-feature low-balance alerts with multi-level thresholds trigger webhooks automatically.
Invoice-backed credit checkout means customers can top up and the wallet replenishes after payment confirmation without manual intervention.
Multiple credit pools with wallet hierarchies support cross-model pricing. You can assign dynamic credit values to features based on internal cost metrics and track per-model costs while keeping customer-facing billing simple with custom pricing units.
Segwise shipped credit-based pricing in 3 days after spending 3 weeks trying to build it in-house. They now track 100+ enterprise customers with zero manual intervention and full visibility into credit usage and burn rates.
4. Credit infrastructure built for AI token economics
Flexprice supports separate spend vs. top-up conversion rates so promotional campaigns do not distort revenue accounting. Per-feature low-balance alerts with multi-level thresholds trigger webhooks automatically.
Invoice-backed credit checkout means customers can top up and the wallet replenishes after payment confirmation without manual intervention.
Multiple credit pools with wallet hierarchies support cross-model pricing. You can assign dynamic credit values to features based on internal cost metrics and track per-model costs while keeping customer-facing billing simple with custom pricing units.
Segwise shipped credit-based pricing in 3 days after spending 3 weeks trying to build it in-house. They now track 100+ enterprise customers with zero manual intervention and full visibility into credit usage and burn rates.
5. 4x faster event processing on a modern architecture
Flexprice runs on Go + Kafka, architected for 60K+ events per second. The standalone collector (built on Bento) streams from Kafka, webhooks, databases, and files with auto-batching, exponential retries, and backoff.
Lago runs on Ruby with an engine that handles roughly 15K billing events per second. For AI companies processing high-volume event streams across multiple models and token types, this difference matters in both latency and reliability.
Simplismart needed billing that did not slow down inference. Flexprice's Python and Go SDKs with asynchronous event sending and low-latency credit checks ensured usage tracking never interfered with model serving. Zero added latency to inference.
5. 4x faster event processing on a modern architecture
Flexprice runs on Go + Kafka, architected for 60K+ events per second. The standalone collector (built on Bento) streams from Kafka, webhooks, databases, and files with auto-batching, exponential retries, and backoff.
Lago runs on Ruby with an engine that handles roughly 15K billing events per second. For AI companies processing high-volume event streams across multiple models and token types, this difference matters in both latency and reliability.
Simplismart needed billing that did not slow down inference. Flexprice's Python and Go SDKs with asynchronous event sending and low-latency credit checks ensured usage tracking never interfered with model serving. Zero added latency to inference.
6. Multi-payment-gateway support for global billing
Flexprice natively integrates with Stripe, Razorpay (India/SEA), Moyasar (MENA/GCC), and Nomod. You can collect payments through each region's preferred rail from a single billing instance.
Lago's payment gateway support is more limited. For AI companies selling globally from day one, the ability to serve customers in India, the Middle East, and Southeast Asia without building custom payment middleware is a meaningful operational advantage.
6. Multi-payment-gateway support for global billing
Flexprice natively integrates with Stripe, Razorpay (India/SEA), Moyasar (MENA/GCC), and Nomod. You can collect payments through each region's preferred rail from a single billing instance.
Lago's payment gateway support is more limited. For AI companies selling globally from day one, the ability to serve customers in India, the Middle East, and Southeast Asia without building custom payment middleware is a meaningful operational advantage.
Frequently Asked Questions
Frequently Asked Questions
What is the difference between Flexprice and Lago?
Is Flexprice open source like Lago?
Does Lago support parent-child accounts?
Can Lago handle credit-based billing for AI companies?
Does Lago support pricing experimentation?
Does Lago have a customer portal in the open-source version?
Is Flexprice faster than Lago for event processing?
Does Lago support outcome-based billing?
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