CM

Comet Model Production Monitoring

Platform

by Comet ML

Comet's production-monitoring product for tracking deployed-model performance and data drift across the ML lifecycle.

Find alternatives to Comet Model Production Monitoring

Not offered on the Free or Pro MLOps tiers; the Comet pricing page lists 'production monitoring' as an Enterprise-tier feature only, with Enterprise priced by custom quote. The product's own page carries no price or tier information.

What it does

• Evaluation and observability

Sources

Pricing

Pricing page · 5 Sep 2026

The page carries two plan ladders: the Opik ladder (Open Source $0, Free Cloud $0, Pro Cloud $19/month, Enterprise) and, separately, the MLOps ladder — Free ($0, 1 team member, fair-usage training hours, 100GB), 'Pro … $19 Per user/month … Up to 10 users, 1500 training hours included' ($1/training hour and $3/100GB/month beyond), and 'Enterprise … Custom … Unlimited users, Unlimited training hours … Model production monitoring'. The page's own summary calls the paid tier 'Comet MLOps Pro' and the top tier 'Comet MLOps Enterprise'. Production monitoring appears only in the Enterprise column.

Sold within

Live re-check 2026-09-15: same pricing-page structure — Model Production Monitoring is listed inside the "Comet MLOps" plans, not sold separately.

Name

Official documentation · 5 Sep 2026

Page H1 is 'The Complete ML Lifecycle'; nav dropdown labels the entry 'ML Model Production Monitoring' (MPM).

Also from Comet ML

• Opik Platform

  GenAI observability and agent-testing platform from Comet, for tracing, evaluating and debugging LLM applications.

• Comet Experiment Tracking Developer tool

  Comet's experiment-tracking product for logging, comparing, visualizing and reproducing machine-learning training runs.

• Comet Artifacts Developer tool

  Comet's dataset- and model-versioning product for tracking artifacts and lineage from training through production.

• Agent Optimizer Developer tool

  Opik feature (also available as an open-source SDK) that automatically iterates and tunes system prompts across seven optimization algorithms before freezing them for production.

• Cost Intelligence Application

  Opik feature that tracks and attributes AI/coding-agent token spend (Claude Code, Codex) across engineering teams, surfacing recoverable-spend opportunities.

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