Confident AI vs OpenLLMetry
Confident AI
confident-ai.comOpenLLMetry
traceloop.comSide by side
| Figure | Confident AI | OpenLLMetry |
|---|---|---|
| Price from | $200/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 2 |
| Spec score · AI LLM Observability Tools | 8.4 (#10) | 6.9 (#23) |
| Spec score · LLM Observability Tools | 8.4 (#12) | 6.9 (#26) |
| Self-hosting | Confident AI can be deployed in a customer's AWS, Azure, or GCP cloud via Docker and typically takes 1–2 weeks to set up. | Traceloop says it supports on-premise deployment in AWS, GCP, Azure, Kubernetes, air-gapped, and other restricted environments. |
Plans
Confident AI
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
In their own words
Confident AI
Confident AI is an AI quality platform for evaluating applications during development and monitoring them in production. Teams can experiment with prompts, models, and parameters, run automated regression evaluations in CI/CD, and assess results with more than 50 metrics. Production tracing records inputs, outputs, latency, tokens, and execution spans, while live alerts indicate declining quality. Red-team testing addresses safety vulnerabilities and adversarial attacks. The platform supports Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations. APIs cover prompt versioning, dataset creation, trace ingestion, project provisioning, and governance policies. It is available through web and API access, or can be self-hosted in AWS, Azure, or GCP using Docker; setup typically takes 1–2 weeks. The free plan includes two seats, one project, five weekly test runs, and 1 GB-month of trace spans. Paid plans start at $200 a month.
OpenLLMetry
OpenLLMetry has no write-up on Specifiction yet; its figures are above.