CompassRank vs Weights & Biases

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	CompassRank Evaluation	Weights & Biases Evaluation
Tagline	Public leaderboard from the OpenCompass project ranking open and closed LLMs across 100+ benchmarks.	The ML experiment tracker, now with LLM eval features.
Category	Evaluation	Evaluation
Pricing	Free· Free leaderboard; OpenCompass toolkit is Apache 2.0 open source	Freemium· Free personal; team from $50/mo per seat
Model	Multi-model	Platform (any LLM)
Editorial score	—	8.4 / 10
Use cases	llm-benchmarkingmodel-selectionleaderboardsreproducible-evalsvision-language-eval	ML experimentsLLM evalWeave
Pros	Reproducible: every score is generated by the open-source OpenCompass harness Broad coverage of both Western and Chinese LLMs, often missing from other boards 100+ datasets across reasoning, knowledge, language, code, and safety Apache 2.0 toolkit lets you run the same evals on private models	Industry-standard for ML tracking Weave adds LLM-native eval Mature, reliable Strong enterprise features
Cons	UI and docs are Chinese-first; English coverage is uneven Hosted in mainland China, occasional latency / access issues from abroad Benchmark contamination risks apply as with any static leaderboard	Heavier UX than LLM-native tools LLM features still catching up
Website	rank.opencompass.org.cn	wandb.ai

Pick CompassRank if

✅ Reproducible: every score is generated by the open-source OpenCompass harness
✅ Broad coverage of both Western and Chinese LLMs, often missing from other boards
✅ 100+ datasets across reasoning, knowledge, language, code, and safety
✅ Apache 2.0 toolkit lets you run the same evals on private models

Pick Weights & Biases if