Confident AI vs Evidently
Both are eval frameworks tools. Here is how they actually differ on price, billing model and deployment.
Confident AI
The commercial cloud layer over DeepEval. It recently moved from per-seat to flat per-organisation pricing at $200 and $2,000 a month - a change most third-party reviews have not caught up with.
Evidently
An open-source ML and LLM evaluation framework with 100+ metrics spanning tabular data through to GenAI. Notably, release 0.7.17 moved previously closed functionality into open source - the opposite of the usual direction.
| Confident AI | Evidently | |
|---|---|---|
| Category | Eval Frameworks | Eval Frameworks |
| Our rating | 4/5 | 4/5 |
| Starting price | $200/mo per org | Not published |
| Billing meter | gb-month | No usage metering |
| Free plan | Yes | Yes |
| Free self-hosting | No or paid tier only | Yes, free |
| Best for | Teams already using DeepEval who need shared datasets, persistence, online evaluation and collaboration, and who are large enough that unlimited seats on a flat plan beats per-seat competitors. | Teams evaluating classical ML and LLM systems together, especially where data drift and data quality matter as much as output quality, and who want CI-integrated declarative testing. |
Our verdict on Confident AI
Confident AI is the managed layer over DeepEval, and the most useful thing to know about it right now is that its pricing changed and most of the internet has not noticed. It now bills flat per organisation - $200 a month for Starter with unlimited seats and 5 GB-months, $2,000 for Team with 75 GB-months - having previously used a per-seat model that third-party reviews still quote at figures like $19.99 or $49.99 per seat. If you are comparison shopping from review sites you are working from stale numbers. The new model is genuinely favourable for larger teams, because unlimited seats on a flat plan beats per-seat pricing badly once you have more than a handful of engineers, and traces are unlimited on every tier with billing on stored data instead. The underlying DeepEval framework is Apache 2.0 and free, so your evaluation logic stays portable, and a self-hosted option exists. The main structural criticism is the 10x gap between Starter and Team with nothing published in between.
Full Confident AI review →Our verdict on Evidently
Evidently is the broadest evaluation framework in this category and the only one that treats data quality, classical ML performance and LLM output as one continuous problem. That breadth is the reason to choose it. A team running recommender systems and a RAG assistant gets drift detection, ranking metrics and hallucination checks from one library with 100+ built-in metrics, where a purely LLM-native tool would cover a third of the surface. The design is also good - any Report becomes a Test Suite by adding pass/fail conditions, which makes CI gating a natural extension rather than a separate product. And release 0.7.17 moved previously closed functionality into open source, including the service for storing run logs and LLM-judge workflows, which is the opposite of the direction open-core vendors normally travel and deserves credit. The clear weakness is agents. There is no span-level evaluation for scoring individual steps like tool calls, no graph visualisation of execution paths, and agent evaluation needs custom work. If agents are your primary workload, look elsewhere.
Full Evidently review →Frequently Asked Questions
What is the main difference between Confident AI and Evidently?
Confident AI: Teams already using DeepEval who need shared datasets, persistence, online evaluation and collaboration, and who are large enough that unlimited seats on a flat plan beats per-seat competitors. Evidently: Teams evaluating classical ML and LLM systems together, especially where data drift and data quality matter as much as output quality, and who want CI-integrated declarative testing. Both sit in Eval Frameworks, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, Confident AI or Evidently?
It depends entirely on your workload shape, because they meter differently - Confident AI bills on gb-month and Evidently bills on no usage metering. Published starting prices are $200/mo per org and Not published 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 Confident AI or Evidently?
Confident AI: No or paid tier only. Evidently: Yes, free. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.