# Weights & Biases vs Comet ML: which experiment tracking platform wins in 2026?

**Source:** https://promtable.com/compare/weights-and-biases-vs-comet

> Weights & Biases wins on community + integrations + LLM-specific features (Weave, Prompts). Comet ML wins on enterprise self-host + pricing + workflow automation (Opik for LLM evals). Pick W&B for breadth, Comet for self-host or LLM evals first.

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Weights & Biases wins on community + integrations + LLM-specific features (Weave, Prompts). Comet ML wins on enterprise self-host + pricing + workflow automation (Opik for LLM evals). Pick W&B for breadth, Comet for self-host or LLM evals first.

## At a glance

| Dimension | Weights & Biases | Comet ML |
|---|---|---|
| Experiment tracking | **Industry standard** ✓ | Mature equivalent |
| LLM observability | Weave + Prompts | Opik (full LLM eval platform) |
| Hyperparameter sweeps | **Best-in-class** ✓ | Solid |
| Model registry | Yes | Yes |
| Datasets / artifacts | First-class | First-class |
| Self-host | Enterprise tier | **Free self-host (Opik OSS)** ✓ |
| Pricing | Free academic + usage-based paid | Free academic + usage-based paid |
| Integrations | **PyTorch, TF, JAX, HF, all majors** ✓ | PyTorch, TF, JAX, HF |
| Best for | Broad ML workflows, LLM teams via Weave | Self-host first, LLM evals via Opik OSS |

## Verdict

Weights & Biases is the right pick for teams wanting industry-standard tracking with the broadest community + integration ecosystem, plus Weave for LLM workflows. Comet ML is the right pick for self-host-required teams (Opik OSS gives full LLM eval out of the box) and teams that want a unified eval-first LLM observability path. Both are mature; the choice is community vs self-host + eval-first.

## When to pick which

- **Weights & Biases** — Industry-standard tracking, broadest integrations, Weave for LLM apps.
- **Comet ML** — Self-host (Opik OSS), LLM eval first, predictable pricing.

## FAQ

### Self-hostable?

Both — W&B has an enterprise tier; Comet ships Opik as open-source self-host for LLM observability.

### Better for LLM apps?

Comet via Opik (open-source eval platform) is more LLM-eval-focused; W&B Weave is broader.

### Cheaper?

Both have free academic tiers and similar paid pricing; depends on workload size.

## Related

- [/alternatives/weights-and-biases](https://promtable.com/alternatives/weights-and-biases)
- [/compare/langfuse-vs-helicone](https://promtable.com/compare/langfuse-vs-helicone)
- [/glossary/experiment-tracking](https://promtable.com/glossary/experiment-tracking)

*Last updated: 2026-06-01*
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Original page: https://promtable.com/compare/weights-and-biases-vs-comet
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