4 Maxim Alternatives That Skip the Double Billing in 2026

Maxim’s pitch is real. It is an agent lifecycle platform, and its differentiator is agent simulation - it generates realistic multi-turn user interactions across thousands of scenarios and personas so you can stress-test an agent before it touches live traffic. The pure observability tools do not do that. If you are shipping a multi-turn support bot or a tool-using agent, that pre-release loop is a genuinely different workflow, and it is the reason to look at Maxim at all.

The reservations are all commercial. Maxim charges per seat and caps logs per month, so both meters run at once - a five-engineer team on Professional is $145/mo in seats before a single log, then $1 per 10k logs over the cap. Retention is short too: 7 days on Professional, 30 on Business. And self-host is in-VPC Enterprise-only, with no open-source version, so data residency means a sales cycle. This is a list for the team that loves the idea but cannot live with the bill or the cloud-only footprint. I have matched each alternative to the reason.

The short version

Tool	Best for	Billing shape	Self-host	Starting price
Maxim	Pre-release agent simulation	Per seat AND per log	Enterprise only	Free / $29/seat/mo
Langfuse	Cheap self-host, single meter	Usage only	Free, MIT	Free / $29/mo
Braintrust	Turnkey evals, no seat charge	Processed data by GB	Hybrid, Enterprise	Free / $249/mo
Opik	Cheapest managed cloud	Spans plus seats	Free, Apache-2.0	Free / $19/mo

If the double meter is the problem: Langfuse

This is the direct fix for the billing, so it goes first. Langfuse charges on usage, not heads - the Core plan is $29/mo for unlimited users, and self-hosting removes the per-trace cost entirely. It is MIT-licensed with only three features enterprise-gated, so tracing, evals, prompt management and human annotation are all free when you run it yourself - the exact escape from Maxim’s Enterprise-only self-host. At 1M events a month the managed tier runs about $101/mo, per the vendor. One meter, not two, and a real open-source self-host.

The catches are two. First, operational - Langfuse v3 needs Postgres plus ClickHouse, Redis and S3-compatible storage, four services, and the migration is where self-hosters get stuck. Per the vendor it is also now a ClickHouse subsidiary after its January 2026 acquisition, with the MIT license preserved. Second, and specific to your use case: Langfuse does not do agent simulation. It shows you what happened in production and lets you evaluate it, but it will not generate synthetic multi-turn users to stress-test an agent before release. If simulation is the whole reason you were on Maxim, that gap is the trade.

If you want turnkey evals with no per-seat charge: Braintrust

If the seat half of Maxim’s meter is what stings and you want turnkey agent evals, Braintrust removes seats from the equation - users are unlimited on every tier, no per-seat charge at all. Its autoevals library ships working scorers, and its CI/CD quality gates can block a merge on a statistically significant regression, with human review, tracing and datasets in one system. For a growing team that resented paying per head, that alone changes the math.

The gotcha is a different meter. Braintrust bills “processed data” in GB, counting every byte of inputs, outputs, prompts and metadata, with no hard spending cap, and the $0 Starter jumps straight to $249/mo. Multi-turn agents and large contexts - exactly your workload - burn the allowance fastest, so set billing alerts on day one. It is backed by an $80M Series B in February 2026, per press reports, so it is funded to stay. Like Langfuse, it does evals and regression testing rather than pre-release simulation, so weigh what you are actually buying.

If you want the cheapest managed cloud: Opik

If you want managed hosting for the least money and an open-source escape hatch, Opik is the cheapest paid cloud of the major platforms. Pro is $19/mo for 100k spans, and the Apache-2.0 self-host ships the full feature set with no gates - so unlike Maxim, you can run it yourself for free if data residency matters. It also has real eval capability aimed at agents, including online evaluation, guardrails and an Agent Optimizer. Backed by Comet, an established company since 2017, per the vendor.

The gotcha is per-seat pricing at scale - the same shape that pushed you off Maxim, though only on one axis, not two. The $19 headline is the small-team configuration, and seat costs add up as headcount rises. A few users report UI slowdown on very large projects. For a lean team it is the cheapest managed option here; for a large one, model the seats. And like the others, it does production eval rather than Maxim’s pre-release simulation.

So which one?

• You want to kill the double meter and can run a self-host - Langfuse, MIT and single-metered, if you can stand up four services. The $29 Core cloud if you cannot.
• The per-seat charge is what stung and you want turnkey evals - Braintrust, unlimited users, with billing alerts from day one.
• You want managed hosting for the least money, with an OSS exit - Opik at $19/mo, unless your team is large.
• Agent simulation is genuinely your core need - honestly, stay on Maxim. None of the alternatives here generate synthetic multi-turn users to stress-test an agent before release, and that pre-release loop is its real, differentiated value. If that is what you are buying, just model your seats and log volume together first - the sticker price is not the bill.

Every price above is from each vendor’s own pages, verified on 26 July 2026. This category ships breaking changes monthly, so we re-verify every 30 days. The honest summary: Maxim’s simulation is worth paying for if you actually need it. If you were only ever using it as an observability-plus-eval tool, the alternatives above do that job for a fraction of the double meter.