Amplitude vs Mixpanel Pricing 2026: What SaaS Teams Pay

The pricing difference between Amplitude and Mixpanel is not about the number on the pricing page — it is about the billing unit. Amplitude bills by Monthly Tracked Users (MTUs). Mixpanel bills by events. Those two units diverge sharply at scale, and understanding the divergence before you commit to a platform is worth more than any feature comparison. At $10,000 ARR, the difference is noise. At $1M ARR with a growing user base, it can be the difference between a $500/month analytics bill and a $5,000/month one.

The billing model difference that determines your long-term cost

Amplitude's MTU model counts each unique user who triggers any event in a given month as one Monthly Tracked User, regardless of how many events that user generates. A power user who opens your product daily and triggers 300 events costs the same as a user who logs in once and triggers 2 events. This model rewards products where a small number of highly engaged users generate most of the event volume — enterprise SaaS where 50 daily-active users each generate hundreds of events per session fits this profile well. Amplitude becomes dramatically more expensive when your MAU count is high but per-user event frequency is low.

Mixpanel's event-based model counts every event. One user triggering 300 events costs 300 events; one user triggering 2 events costs 2 events. This model rewards products with large user bases where most users generate low event counts — a consumer-facing SaaS with 100,000 MAUs each generating 20 events per month is 2 million events, well inside Mixpanel's free tier. The model penalises products where per-user event frequency is very high. If your event schema auto-captures every mouse movement or every API call, the event count compounds fast. In February 2025, Mixpanel completed its migration to full event-based pricing, eliminating the older MTU-based tiers that created confusion about cost at scale.

Free tier: what you get at $0 from each platform

Mixpanel's free tier covers 20 million events per month with unlimited data history and unlimited collaborators. For most SaaS teams in the pre-Series A stage, 20 million monthly events is more than enough — you need hundreds of thousands of monthly active users each triggering dozens of events per month before you consistently exceed this threshold. The free tier is genuinely useful: it includes funnels, retention analysis, flows, and cohort analysis. It is not a stripped-down preview tier; it is the full product analytics stack with an event-volume cap that most teams will not hit for 12–18 months of growth.

Amplitude's Starter plan includes 10 million events per month, up to 10 team members, and 12 months of data history. The compressed data history is the practical limitation: if you need to analyse cohorts from more than a year ago, you need a paid plan. Amplitude's free tier also includes limited versions of session replay, feature flags, and A/B experiments — tooling that Mixpanel does not include in its free tier. For teams that want product analytics, session replay, and experimentation in one platform from day one, Amplitude's bundled free tier has real value even if the individual limits are tighter.

Growth stage: what you pay between 10K and 100K MAUs

At 10,000 monthly active users, neither platform is expensive. A typical SaaS product at this scale generates 2–5 million events per month (200–500 events per user across sessions, feature usage, and navigation). That sits inside Mixpanel's 20 million event free tier and inside Amplitude's event limits. The practical cost difference at 10K MAUs is close to zero on either platform if you manage your event schema deliberately — which means not auto-capturing every click and not logging debug events to your analytics platform.

At 50,000 MAUs with a typical SaaS event density, you start to see the cost models diverge. Mixpanel's Growth plan for teams exceeding 20 million events per month starts at roughly $24/month at the low end and scales by event volume — 50 million events per month costs approximately $300–$400/month. Amplitude's Plus plan starts at $49/month but scales by MTU count. At 50,000 MTUs, Amplitude's published pricing runs $800–$1,200/month depending on plan configuration. The gap between platforms becomes meaningful in the $500–$1,000/month range — not enormous, but worth accounting for when comparing total cost of the analytics stack.

Scale stage: where the pricing diverges sharply

Above 100,000 MAUs, pricing becomes a negotiation rather than a published rate for both platforms. Amplitude requires a custom enterprise contract for the Growth and Enterprise tiers, and the starting price is significantly above the published Plus plan. Vendr's data from 237 enterprise Amplitude deals in 2026 puts the median annual contract at $64,724 — and that is the median, not the high end. Teams with complex requirements, large MTU counts, or add-on features like advanced experimentation or behavioral targeting pay substantially more. Amplitude also charges separately for higher data retention, data exports, and some integrations at enterprise tiers.

Mixpanel at scale is not cheap, but its pricing is more predictable. The Growth plan extends by event-volume bands, and while 10 million events per month costs roughly $2,000–$2,500/month, teams that have modelled their event volume and schema deliberately can contain costs by controlling what they instrument. Mixpanel does not have the same MTU step-function problem — adding 10,000 new users who generate low event counts does not change your bill in the way it does on an MTU model. For teams where event volume is the variable that scales with product usage, Mixpanel's model is easier to forecast. The platform convergence trend means both tools now offer similar core features, which shifts the decision increasingly toward cost and team fit rather than capability gaps.

Hidden costs that do not appear on the pricing page

Both platforms have costs that are not immediately visible in the pricing table. Data retention is the most common surprise: Amplitude's lower tiers cap data history at 12 months, requiring an upgrade if you need long-term cohort analysis. Mixpanel offers unlimited data history on the free tier, which is a genuine advantage for teams that want to run multi-year retention analyses without paying for a higher tier.

Data exports matter if you run your analytics stack in parallel with a data warehouse. Both platforms support BigQuery and Snowflake exports, but the export functionality is gated behind higher tiers. Amplitude requires the Enterprise plan for raw data exports; Mixpanel includes data exports in the Growth plan. If your team is building a warehouse- first analytics setup — sending events to both a product analytics tool and a data warehouse like BigQuery — the export pricing affects which platform makes sense at your stage. The data warehouse export approach is increasingly common at Series B and beyond, making the export tier a non-trivial line item in the cost comparison.

When Amplitude's higher price is justified

Amplitude's premium pricing is justified when your team needs experimentation and feature flags bundled with product analytics in a single platform. Running A/B tests, managing feature rollouts, and analysing the behavioural impact of experiments in one tool without stitching together PostHog, LaunchDarkly, and a separate analytics product has real operational value — it eliminates the identity reconciliation problem between tools and gives a unified view of the experiment's effect on retention and activation. Amplitude's experimentation product is among the more mature in the market.

Amplitude also wins for SaaS products with enterprise customer profiles — companies where a single account represents hundreds of users, and where account-level analytics (not just user-level) is central to the product story. Amplitude's account-level analytics and group-by-account features are more developed than Mixpanel's equivalent functionality. The AI features on both platforms are converging, but Amplitude has invested more heavily in automated insight generation and anomaly detection at the enterprise tier.

When Mixpanel is the better economic choice

Mixpanel is the better economic choice for most SaaS teams below $2M ARR. Its free tier covers event volumes that most products will not exceed for 12–18 months of user growth, its Growth plan pricing scales more predictably than Amplitude's MTU model during rapid growth, and its core product analytics — funnels, retention, flows, user segmentation — are equivalent to Amplitude's for the analyses that matter most at early scale: activation rate, trial-to-paid conversion, weekly retention by signup cohort.

Mixpanel also wins on implementation speed. Most SaaS teams report being productive in Mixpanel within one to two weeks of instrumentation, compared to three to six weeks for Amplitude. The difference is not dramatic, but it matters when you are trying to get analytics signal during a critical product iteration phase. For teams that need to pick one and move fast, Mixpanel's simpler mental model and more transparent pricing make it the lower-friction default. The analytics stack by ARR stage guide covers when the decision to upgrade platforms is typically forced by capability gaps rather than cost pressure.