Arize Phoenix vs Comet ML vs Opik vs Weights & Biases

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

Arize Phoenix Open-source LLM evaluation and observability Visit Comet ML ML experiment tracking + LLM observability Visit Opik Open-source LLM tracing, evals and guardrails you can self-host Visit Weights & Biases The near-default MLOps platform, now with CoreWeave inference Visit
RECATOOLS Score 7.8 / 10 7.3 / 10 7.8 / 10 8 / 10
Capability 8 8 8
Value for money 9 7 8.5
Ease of use 6 6 7.5
ASEAN readiness 8 6 6.5
API quality 8 8 8
Pricing Open Source Freemium Open Source Freemium
Free tier Free 'Basics' tier: ~5 model seats, 5GB storage, 1GB/mo Weave ingestion
Paid from Pro from $60/mo (teams <50); usage billed for storage/Weave/inference
Has API
Open source
Free to use
Users 1,400+ organizations (incl. AstraZeneca, NVIDIA)
Founded 2023 2017 2017
Maker CoreWeave (acquired 2025)
Verdict

Arize Phoenix is an open-source observability and evaluation toolkit for LLM and AI applications, offering tracing, prompt and RAG debugging, evals, and OpenTelemetry-based instrumentation that runs locally or self-hoste...

Comet ML is a well-established MLOps platform for experiment tracking, model registry, production monitoring and, increasingly, LLM evaluation/observability via its open-source Opik project. It is a credible Weights &amp...

Opik is the rare open-source LLM observability tool where the free self-hosted version isn't a stripped-down teaser — Comet's own docs describe it as the same codebase as the hosted product. Tracing, LLM-as-a-judge evalu...

W&amp;B is close to default infrastructure for ML teams — its experiment-tracking SDK is the sticky part, logging runs, metrics, and artifacts with a few lines of code. Weave extends that to LLM and agent observability w...

Full review → Full review → Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.