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Comet
MLOps experiment tracking, model registry, and Opik GenAI observability platform competing with Weights & Biases for training runs and agent evaluation.
ML and LLM app teams that want experiment tracking plus Opik tracing without starting on enterprise W&B packaging.
Groups standardized on Weights & Biases with deep Weave workflows, or buyers who need production monitoring only on day one without Enterprise.
Co-founded by Gideon Mendels.
Verdict
Comet is a good fit when you want experiment history, a model registry, and a credible GenAI observability lane (Opik) under one vendor. Public Pro pricing is approachable; Enterprise unlocks SSO and deeper production monitoring. Conditional recommend while W&B remains the habit default for many training orgs.
Score Breakdown
How Comet scores in the categories that matter to its buyers.
Pricing
Comet publishes Free and Pro list rates for both Opik (GenAI observability) and classic MLOps experiment tracking on comet.com/site/pricing. Figures below are USD as of September 2026. Enterprise is quote-led with SSO and flexible deploy.
| Plan / line | Meter | Price (USD) | What stands out |
|---|---|---|---|
| Opik Open Source | Self-host | $0 | Same codebase as hosted Opik |
| Opik Free Cloud | Spans | $0 / mo | Up to 10 members; 25k spans / mo; 60-day retention |
| Opik Pro Cloud | Workspace / mo | $19 / mo | Up to 50 members; 100k spans; overage $5 / 100k |
| MLOps Free | Individual | $0 / mo | Experiment tracking; 100 GB; fair-use hours |
| MLOps Pro | Per user / mo | $19 / user | Up to 10 users; 1,500 training hours; 500 GB |
| Enterprise (Opik or MLOps) | Custom | Sales quote | SSO, SLAs, compliance, flexible deploy |
The Field at a Glance
Where Comet ranks among MLOps & experiment tracking vendors we reviewed, by Overall Score and relative typical engagement cost.
Comet scores 6.9 beside Weights & Biases at 7.6, Domino at 6.9, and ClearML at 7.2. Relative cost stays low on self-serve entry packaging.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Training run comparison | Strong | Core MLOps product. |
| Model registry & datasets | Strong | Included on Free/Pro paths. |
| LLM agent tracing & evals | Strong | Opik line with OSS option. |
| Replacing an entrenched W&B estate | Mixed | Migration cost dominates feature gaps. |
Review Excerpts
Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.
“Comet made it easy to compare hyperparameters across dozens of runs without losing the artifact trail. The free tier was enough to prove the workflow before we paid.”
“Opik self-host with the same codebase as cloud was the deciding factor. We keep traces inside our VPC and still get the eval suites.”
“Production monitoring extras and SSO are behind Enterprise. Growing past Pro meant a sales cycle we hoped to avoid.”
“Team still defaults to W&B screenshots in design reviews. Comet works; changing habit is the hard part.”
“We log classic training in Comet MLOps and route LangChain agent spans to Opik so eval regressions show up beside the model registry.”
Methodology
This page is an independent evaluation of Comet for buyers comparing options in mlops & experiment tracking. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Comet did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for mlops & experiment tracking)
- Experiment tracking
- Artifact & registry
- LLM / agent observability (Opik)
- Category default share
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Comet is graded here as mlops & experiment tracking. Criteria scores can move as more review volume and product checks are added.