Scale AI vs Weights & Biases
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Scale AI
Human-labeled data, RLHF and model evals — now 49% owned by Meta
Visit
|
Weights & Biases
The near-default MLOps platform, now with CoreWeave inference
Visit
|
|
|---|---|---|
| RECATOOLS Score | 6.8 / 10 | 8 / 10 |
| Capability | — | — |
| Value for money | — | — |
| Ease of use | — | — |
| ASEAN readiness | — | — |
| API quality | — | — |
| Pricing | Freemium | Freemium |
| Free tier | Self-serve: ~1,000 free labeling units + 10,000 free images/month | 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 | 2016 | 2017 |
| Maker | Meta Platforms (49% non-voting stake, 2025) | CoreWeave (acquired 2025) |
| Verdict | Scale built the unglamorous plumbing behind a lot of frontier models — labeled data, human-preference (RLHF) pipelines and evaluation/red-teaming — and its SEAL evals earned real respect. The story in 2026 is the Meta en... |
W&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 → |
← Back to AI Directory
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.