Inspect AI vs Confident AI
Both are eval frameworks tools. Here is how they actually differ on price, billing model and deployment.
Inspect AI
The UK AI Security Institute's MIT-licensed eval framework, built for reproducibility rather than dashboards. Adopted by Anthropic, DeepMind and xAI - it is the closest thing this category has to a research-grade standard.
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.
| Inspect AI | Confident AI | |
|---|---|---|
| Category | Eval Frameworks | Eval Frameworks |
| Our rating | 5/5 | 4/5 |
| Starting price | $0 (open source) | $200/mo per org |
| Billing meter | No usage metering | gb-month |
| Free plan | Yes | Yes |
| Free self-hosting | Yes, free | No or paid tier only |
| Best for | Teams doing serious, reproducible model evaluation - safety testing, capability benchmarking, agent evaluation, or anything where the result has to withstand scrutiny. Also the right choice for anyone publishing evaluation results. | 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. |
Our verdict on Inspect AI
Inspect AI is the most rigorous evaluation framework in this category and it is not particularly close. Built by the UK AI Security Institute, an organisation that runs thousands of evaluations on frontier models, its design goal was reproducibility - and it shows in choices nothing else makes, like shipping statistical bootstrap and confidence intervals rather than bare point scores, and logging complete transcripts of every sample. Sandboxed execution with Docker built in means you can safely evaluate models that write and run code. Agent and multi-turn workflows are first-class rather than retrofitted. It has been adopted by Anthropic, DeepMind and xAI, which is about as strong a signal as exists, since those are the organisations running the largest evaluation workloads anywhere. The trade-off is that it is a research instrument, not a product tool. It is Python-only, code-first, has no hosted service or dashboards, and does not do production observability at all. If you want to know whether your RAG chatbot is any good this week, use Ragas. If you need a number somebody will challenge, use this.
Full Inspect AI review →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 →Frequently Asked Questions
What is the main difference between Inspect AI and Confident AI?
Inspect AI: Teams doing serious, reproducible model evaluation - safety testing, capability benchmarking, agent evaluation, or anything where the result has to withstand scrutiny. Also the right choice for anyone publishing evaluation results. 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. Both sit in Eval Frameworks, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, Inspect AI or Confident AI?
It depends entirely on your workload shape, because they meter differently - Inspect AI bills on no usage metering and Confident AI bills on gb-month. Published starting prices are $0 (open source) and $200/mo per org 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 Inspect AI or Confident AI?
Inspect AI: Yes, free. Confident AI: No or paid tier only. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.