Amplitude vs Mixpanel vs PostHog (2026): Verified Pricing and Which to Pick

Short answer: choose Amplitude when you need mature behavioral analytics and product-led growth reporting, choose Mixpanel when business teams need fast funnel and retention analysis with less setup, and choose PostHog when engineering wants product analytics, feature flags, experiments, and session replay in one developer-controlled stack.

The real decision is not feature count. It is whether your team can maintain clean events, govern metric definitions, and keep implementation costs from exceeding subscription costs.

Free tiers and pricing, verified 2026-09-18

Most comparison pages tell you to check the pricing page. That is not useful when you are trying to size a decision, so here are the real numbers, read from each vendor's pricing page on 2026-09-18. Pricing changes, so re-check before you commit. What matters more than the headline price is which meter each vendor puts you on, because that decides the bill you get in month nine.

What each costs once you outgrow free

Three startup programmes change the math more than any feature difference, so check eligibility before modelling a paid plan:

• Amplitude: one free year of the Growth plan for companies under 20 employees and under $10M in funding.
• Mixpanel: first year free for companies founded less than five years ago with up to $8M in total funding.
• PostHog: no equivalent programme, but the free tier is permanently free rather than a trial, and the company states that 97% of its customers never pay.

The practical consequence is that for most early-stage and mid-market teams all three are close to free in year one. Choosing on price at that stage is a mistake. Choose on which meter will hurt later, and on who on your team will own the instrumentation.

Quick recommendation and comparison table

Which to choose, and why

Choose Amplitude if

• You have a product-led growth motion and need behavioral cohorts, retention views, and executive product metrics.
• You can invest in event governance before dashboards proliferate.
• You have analysts or technically strong product ops owners who can keep metric definitions clean.
• You need a mature product analytics system more than a developer experimentation toolkit.

Check current packaging and limits on Amplitude's pricing page before modeling cost.

Choose Mixpanel if

• You want fast funnel, retention, and conversion reporting for product and marketing teams.
• You already know which events matter and do not need a large governance program on day one.
• You prefer an event-based model that can start simply and scale with tracked activity.
• Your team wants fewer knobs than Amplitude and less engineering ownership than PostHog.

Confirm current plan limits on Mixpanel's pricing page.

Choose PostHog if

• Your engineering team wants analytics, session replay, feature flags, experiments, surveys, and product telemetry in one place.
• You need open-source flexibility or self-hosting options.
• You are comfortable with usage-based pricing across multiple product surfaces.
• You want product analytics to live closer to the engineering workflow than the marketing workflow.

Review current free allowances and usage meters on PostHog's pricing page.

Best fit by team type

PostHog vs Amplitude

This is the most-searched of the three pairings, and it is really a question about who owns analytics.

Choose PostHog when engineering owns the data layer and you want analytics, session replay, feature flags, experiments, and error tracking behind one bill and one SDK. The free tier covers 1M events, 5K replays, and 1M flag requests, and self-hosting or the MIT-licensed open-source product remains a genuine option where data control matters. The catch is that usage is metered per product, so a team adopting replay, flags, and surveys can outgrow the free tier in four places at once.

Choose Amplitude when the product organisation needs behavioural cohorts, retention analysis, and executive-ready reporting, and someone is accountable for event governance. Amplitude allows 2M free events, the most generous analytics allowance of the three, plus unlimited seats so finance and marketing can look without a per-seat conversation.

The deciding question is whether the person who maintains the tracking code reports to engineering or to product. If engineering, PostHog. If product or analytics, Amplitude.

Amplitude vs Mixpanel

Both are product analytics tools with 10K free session replays, and both meter on events. They differ in how much structure they demand before they become useful.

Choose Mixpanel when you want funnel, retention, and conversion answers quickly and your events are already reasonably clean. The free tier is 1M events and 10 active feature flags, and Growth keeps unlimited saved cohorts and reports, which matters once more than a handful of people build analyses. Mixpanel is also the only vendor here publishing an example price, so it is the easiest to forecast.

Choose Amplitude when you need behavioural cohorts, group and account analytics, and the governance features that stop metric definitions drifting as more teams self-serve. You get twice the free event volume, 2M against 1M, and unlimited seats, but the analytical surface is larger, so setup cost is higher.

The deciding question is whether your events are already trustworthy. If they are, Mixpanel reaches answers faster. If they are not, you will spend the difference on either tool, and Amplitude gives you more governance machinery to spend it on.

PostHog vs Mixpanel

This pairing is the open-source, developer-first option against the product-analyst option, and the split is cleaner than the other two.

Choose PostHog when you want one platform for analytics, replay, flags, experiments, surveys, and error tracking, and you value being able to self-host or read the source. You trade some analytical depth for breadth and control.

Choose Mixpanel when analytics is the job and experimentation is secondary. Mixpanel's free tier includes experiments up to 1K MEU and 10 active flags, which is enough to run tests but not enough to replace a dedicated feature-flag platform.

The deciding question is whether you are buying one tool or three. PostHog is priced and designed as a consolidation play. Mixpanel is priced and designed as the best version of one thing.

Implementation Cost Matters More Than Subscription Cost

Most teams compare plan prices and miss the expensive part: instrumentation. A product analytics implementation usually needs event naming standards, user identity rules, account-level properties, data QA, dashboard ownership, and a process for changing events without breaking historical reporting.

What vendor pages leave out

• Dirty events make every platform look bad. The tool cannot rescue inconsistent naming, missing account IDs, or duplicate client/server events.
• Free tiers can hide future costs. The first paid month often arrives when event volume, retention windows, or advanced features become operationally necessary.
• Dashboards are not decisions. Someone still needs to turn reports into product experiments, lifecycle changes, and sales/customer success workflows.
• Migration is a project. Switching platforms means remapping events, retraining teams, rebuilding dashboards, and accepting some historical discontinuity.

Vendor pricing pages also leave out four things that decide your real cost:

• Which meter moves first. Every vendor lists limits; none predicts which one your team hits. Replay hours and flag evaluations are the ones teams miss, because both scale with usage rather than with users.
• What governance costs. None of the three charges for event taxonomy, identity resolution, or metric definition work, because none of them does it. That work is yours, and it is usually the largest line item.
• How retention interacts with growth. Longer retention is a paid feature on some plans. If you need multi-year cohort analysis, check retention limits before comparing event volumes.
• Whether the discount applies to you. Both startup programmes carry funding and headcount thresholds. Confirm eligibility before modelling a paid plan.

Sources and related resources

Recheck pricing and packaging before buying, because these tools meter usage differently. A fair comparison covers event volume, monthly users, session replay, feature flags, experimentation, warehouse export, support, and how many teams will create or consume events. A clean event taxonomy reduces cost and improves analysis more than switching vendors does.

Vendor sources, all read 2026-09-18:

• Amplitude pricing
• Mixpanel pricing
• PostHog pricing

Related Brainforge resources:

• Event Taxonomy Best Practices
• Analytics Instrumentation Audit
• Amplitude vs Mixpanel pricing
• Product analytics implementation cost
• Choosing the best analytics tool for your budget and growth
• Amplitude implementation that actually works
• Mixpanel implementation best practices that prevent analytics debt

FAQ

Is Amplitude better than Mixpanel?

Amplitude is usually better for mature behavioral analytics and product-led growth analysis. Mixpanel is often better when teams need fast, accessible funnel and retention reporting without a heavy analytics operating model.

Is PostHog better than Amplitude or Mixpanel?

PostHog is better when engineering wants a broader product toolkit and more control. It is not always better for non-technical teams that only need product analytics dashboards.

Which tool is cheapest?

It depends on event volume, feature usage, data retention, and implementation effort. Always model total cost with expected events, user counts, session replays, feature flags, and the engineering time needed to keep data clean.

Can you use these tools with a warehouse?

Yes, but the warehouse architecture differs. Before choosing, decide whether your analytics source of truth should live in the product analytics tool, your warehouse, or a governed semantic layer.

Bottom Line

Pick Amplitude for deep behavioral analytics, Mixpanel for fast product and marketing reporting, and PostHog for developer-controlled product telemetry. Then spend as much energy on implementation governance as you spend on vendor selection. The cleanest event model usually beats the flashiest analytics UI.

Last refreshed: September 18, 2026. Pricing and feature packaging change often; verify vendor source pages before buying.