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Maxim Pricing Explained (2026) - What You Actually Pay

Maxim charges per seat AND caps logs, so both meters run at once - a five-engineer team pays $145/mo in seats before a single log. Here is how the double meter works, a worked bill, and cheaper picks.

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Maxim’s sticker price looks cheap - $29 a seat. The bill is not the sticker, because Maxim does something most of the category does not, and it is the single most important thing to understand before you sign up. Let me decode the double meter, walk a worked bill, then point at cheaper picks if the model does not fit.

Maxim is an agent lifecycle platform. Its real differentiator is agent simulation - it generates multi-turn user interactions across thousands of scenarios to stress-test an agent before production. That is a genuine capability the pure observability tools do not have. The pricing is where you need to pay attention.

The pricing model, decoded

Four tiers, and the shape is unusual.

TierPriceSeatsLogs/moRetentionOverage
Developer$0up to 310k3 daysnone
Professional$29/seat/mounlimited100k7 days$1/10k
Business$49/seat/mounlimited500k30 days$1/10k
EnterpriseCustom-customcustom-

Here is the thing to see clearly. Maxim charges per seat AND caps logs, so both meters run at once. Most tools in this category pick one - Braintrust has no per-seat charge and meters data, Opik has soft per-seat pricing, LangSmith is per-seat. Maxim stacks both. You pay for every head, and you pay again for the logs that team generates.

The free Developer tier sidesteps this - up to 3 seats, 1 workspace, 10k logs, no overages - but 3-day retention makes it a prototyping tier, not a working one.

Estimate your bill

This is where the two meters compound.

Small team, Professional. Five engineers at $29/seat is $145/mo before a single log. That is the seat meter alone. Say you generate 300,000 logs a month - that is 100k included plus 200k overage at $1 per 10k, so $20 on top. Total: $165/mo. The seats are the larger line, and they scale with hiring, not usage.

Bigger team, Business. Ten engineers at $49/seat is $490/mo in seats. Add 700,000 logs - 500k included plus 200k at $1 per 10k, so $20 - and you are at $510/mo. Again, the seat count dominates.

The lesson: model your seats and your logs together. A team that grows headcount pays more even if trace volume is flat, because the seat meter never stops. And the retention is short - 7 days on Professional, 30 on Business - which is tight if you ever need to review an incident from last month.

The self-host gotcha

If data residency matters, Maxim rules itself out early unless you write a big check. Self-host is in-VPC and Enterprise-only, and there is no open-source version. The number-one buyer question in this category is “can I keep my trace data on my own infrastructure,” and Maxim’s answer is “yes, if you sign an enterprise contract.” That is a real gap against the open-source platforms below.

Worth weighing too: Maxim is the youngest-funded of the serious players - founded 2023, a $3M seed in June 2024 led by Elevation Capital. The product is well-reviewed on Product Hunt and Trustpilot, but independent Reddit and HN discussion is thin, so treat the positive signal as low-sample. Enterprise buyers should lean on the SOC 2 Type II and ISO 27001 posture rather than community consensus.

Cheaper alternatives if the double meter stings

If you want the observability without paying on two axes, two options undercut Maxim.

Langfuse is the open-source default and the clean contrast - free to self-host under MIT, framework-agnostic, and cheaper at scale. Managed it is $29/mo Core, and at 1M events a month it runs about $101/mo on a single meter, no per-seat charge. What you lose is agent simulation, which Langfuse does not do. If self-hostable observability and evals without losing features is the priority, Langfuse wins outright. Full decode in Langfuse pricing.

Braintrust is the pick if evals and regression testing are your center of gravity. It has no per-seat charge - users are unlimited on every tier - so it dodges Maxim’s seat meter entirely. Its Pro tier is $249/mo, and the catch is its own meter - it bills “processed data” in GB with no hard spending cap, so watch verbose agents. But for a growing team, unlimited seats is a real advantage over Maxim’s per-head model. See Braintrust pricing.

So which one?

  • You ship multi-turn agents and want to simulate failure paths before production - Maxim, with a small enough team that the seat meter does not sting, and model logs and seats together.
  • You want self-hostable observability with no per-seat charge - Langfuse on one forecastable meter.
  • You want turnkey regression testing with unlimited seats - Braintrust, billing alerts on from day one.

For the wider field, see Maxim alternatives and Maxim vs Braintrust. Every price here was read from getmaxim.ai on 26 July 2026. This category ships breaking changes monthly, so we re-verify every 30 days.

Frequently Asked Questions

How much does Maxim cost?

The free Developer tier is $0 for up to 3 seats, 1 workspace and 10k logs a month with 3-day retention. Professional is $29 per seat per month for up to 100k logs, then $1 per 10k over, with 7-day retention. Business is $49 per seat per month for up to 500k logs, then $1 per 10k, with 30-day retention. The catch is that Maxim charges per seat and caps logs, so both meters run at the same time.

Why does Maxim's bill add up faster than the sticker?

Because two meters run simultaneously. A five-engineer team on Professional is $145/mo in seats before a single log, and heavy tracing adds log overages of $1 per 10k on top. Most tools in this category meter one thing - either seats or usage. Maxim meters both, so model your seat count and your log volume together, not separately.

Can I self-host Maxim?

Only on Enterprise. Maxim lists in-VPC deployment as an enterprise security feature, and there is no open-source repository. If you need trace data on your own infrastructure, you are in a contact-sales conversation from the start. That is a real gap versus Langfuse, which is MIT-licensed and self-hosts free, or Laminar, which is fully open-source.

What is Maxim actually good for?

Agent simulation. Maxim generates realistic multi-turn user interactions across thousands of scenarios and personas to stress-test an agent before it sees live traffic. Observability tools show you what happened in production; Maxim tries to surface failures before you ship. That pre-release testing loop is its clearest differentiator, and the pure observability tools do not match it.

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