Braintrust alternatives

The shortlist

Prices and limits checked against each vendor's own site on 2 August 2026, and every one of those sites is linked at the foot of this page. The metering units genuinely differ (data processed, traces, spans, seats, replay-minutes), so the cost column describes five models rather than one number five times.

When to stay on Braintrust

If the eval loop is the thing you touch every day, stay. Dataset, task, scorers, run, compare against the last run has less ceremony in Braintrust than anywhere else in this roundup, the autoevals library ships the scorers so nobody writes a judge from scratch on day one, and unlimited seats on every tier including the free one means access to results is never rationed.

Stay too if the objection is cost and you have not yet checked what is driving it. Braintrust meters gigabytes of data processed and number of scores rather than traces or seats, which is unfamiliar more than it is expensive, and a month of your own volume run against their published pricing settles the question faster than a migration does. If it turns out the bill is mostly trace payload rather than scoring, trimming what you log is a smaller change than switching vendor.

You want open source, or you want to self-host

Braintrust publishes the autoevals scorer library as open source, and the platform around it is hosted. If the requirement is that the whole thing runs inside your own network, that is the end of the conversation and there are two good answers.

One correction worth making, because it circulates: the Langfuse self-hosted build includes SSO and project-level role controls at no license cost, and its evals, annotation queues, and playground have not been behind a paid plan since June 2025. Self-hosting is not the stripped edition here.

You want production monitoring, not just experiments

Braintrust is strongest before the release, in the loop where you change something and find out whether it helped. Teams outgrow it when the question shifts to what is happening right now, at volume, with alerting and cost attribution attached, and with a security review asking about SSO and role controls.

Both options here answer that, and they answer it differently: one is the depth platform for teams already on LangChain, the other is the only vendor in this roundup that also covers classic ML.

You want more metrics, or you want red teaming

Braintrust gives you a fast way to run scorers and a library, autoevals, to start from. If you are leaving over evaluation itself, it is usually because you want a wider catalog of metrics you did not have to write, or because somebody has asked you a security question that no eval platform in this roundup answers.

One product covers both, and it is free to run locally if the data cannot leave the building.

Your problem is not scoring at all

If you have tried every platform above and the thing you still cannot do is run the agent, the tool you are looking for is not on the scoring shelf. That is the case where the agent calls an internal API nobody will give you a test instance of, or where every run of the eval set charges a real card, cancels a real order, or emails a real customer, so the suite you most need is the one you are least able to run.

Braintrust has published an argument that building an environment for evals is not worth the maintenance it costs, which is the strongest objection to this section and worth reading before you act on it. Our comparison page quotes that argument in full and answers it, rather than summarizing it where you cannot check the wording.

Most readers of this page should skip this section. If your agent mostly reads, nothing it touches needs standing in for.

Mirrors vs Braintrust, including their argument against this in full →

What moving actually costs

The scorers are the smallest part. Most eval logic is a function that takes an input, an output, and an expected value, so porting it between platforms is mechanical; what takes the quarter is the dataset, because the cases encode what your team decided "good" means and nobody wants to relitigate that.

Export before you cancel. Braintrust Starter retains 14 days, so a baseline you want to keep has to leave the platform while the account is still live. Traces generally do not migrate between vendors at all: plan to start a fresh baseline on the new platform and run both in parallel for a couple of weeks rather than trying to carry history across.

If your instrumentation is already OpenTelemetry, the code change on the way out is an endpoint and a header, and both Langfuse and Arize accept it directly.