Braintrust vs Giskard
Both are eval frameworks tools. Here is how they actually differ on price, billing model and deployment.
Braintrust
The most complete eval-first platform - evals, experiments, CI/CD quality gates and observability in one system. The catch is a processed-data-GB billing meter that's uncapped and punishes verbose agents.
Giskard
Apache-2.0 testing and red-teaming library for LLM agents, strongest on adversarial security testing rather than quality metrics. The v3 rewrite requires Python 3.12+, which quietly rules it out for a lot of infrastructure.
| Braintrust | Giskard | |
|---|---|---|
| Category | Eval Frameworks | Eval Frameworks |
| Our rating | 4/5 | 4/5 |
| Starting price | $249/mo | Not published (Hub) |
| Billing meter | span | No usage metering |
| Free plan | Yes | Yes |
| Free self-hosting | No or paid tier only | Yes, free |
| Best for | Teams that want turnkey regression testing and CI/CD quality gates without assembling the eval orchestration themselves | Teams that need adversarial testing and red teaming for LLM agents, especially in security-conscious or regulated settings, and who are on Python 3.12 or later. |
Our verdict on Braintrust
The best turnkey eval platform of the four - if regression testing and blocking bad merges is your priority, nothing else is this complete out of the box. The gotcha is the billing model - processed data is metered by the byte with no spending cap, so the verbose agents and large RAG contexts that most need observability are exactly what blows up the bill. Watch the meter, or the $249 plan won't stay $249.
Full Braintrust review →Our verdict on Giskard
Giskard occupies a different niche from most of this category and does it well. Where Ragas measures RAG quality and DeepEval gates CI, Giskard attacks your system - automated red teaming and adversarial vulnerability scanning against LLM agents, including black-box systems you did not build. That is a genuinely underserved capability, and it is Apache 2.0. Two things will decide whether you can use it. The v3 rewrite requires Python 3.12 or later, which quietly disqualifies any infrastructure pinned to 3.10 or 3.11 - a constraint we have not seen flagged in a single comparison, and one that will surface after you have already committed. And LLM-as-judge checks may require external API calls, so air-gapped environments need to check carefully what leaves the network. The v3 rewrite is also still maturing, with some v2 features not fully ported. Treat it as a security testing tool that complements a quality-focused framework, not as a replacement for one.
Full Giskard review →Frequently Asked Questions
What is the main difference between Braintrust and Giskard?
Braintrust: Teams that want turnkey regression testing and CI/CD quality gates without assembling the eval orchestration themselves Giskard: Teams that need adversarial testing and red teaming for LLM agents, especially in security-conscious or regulated settings, and who are on Python 3.12 or later. Both sit in Eval Frameworks, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, Braintrust or Giskard?
It depends entirely on your workload shape, because they meter differently - Braintrust bills on span and Giskard bills on no usage metering. Published starting prices are $249/mo and Not published (Hub) respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.
Can I self-host Braintrust or Giskard?
Braintrust: No or paid tier only. Giskard: Yes, free. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.