Comet vs GitLab Model Registry

Comet offers two product families on one platform: Opik for observing and evaluating LLM applications and agents, and MLOps for machine-learning workflows. Opik traces execution paths such as context retrieval, model responses and tool calls. Its evaluation tools include test suites, datasets, experiments, LLM-as-a-judge and heuristic metrics. The product lists integrations with more than 40 AI frameworks, model providers and gateways, including LangChain, OpenAI, Google ADK, LangGraph and CrewAI; OpenTelemetry support covers tracking applications in Ruby, Java and other languages. MLOps provides experiment tracking, dataset management, a model registry and production monitoring. Opik's open-source version can be self-hosted, and Enterprise offers flexible deployment options. Free Cloud allows up to 10 team members, 25k spans per month and 60-day data retention. Pro Cloud costs $19 a month and allows up to 50 team members and 100k spans monthly, with the same retention period. MLOps Free is also listed, while MLOps Pro costs $19 per user/month. Enterprise pricing is custom. Comet lists community support for all plans, email support for paid cloud Pro and Enterprise, and dedicated support and SLAs for Enterprise.

GitLab Model Registry has no write-up on Specifiction yet; its figures are above.