Based only on the facts in our directory. The right pick still depends on the job you need done.
Lower starting price
Not comparable
Not comparable: Labelbox does not list a price
Free plan
Tie
Both have one
Higher rating
Labelbox
4.1 against 4.0
Same job?
Yes
Both are AI Infrastructure & Agent Tooling tools
Side by side
Compared on
Labelbox
Scale AI
Our rating
4.1Better
4.0
Starts at
Free
Free
Free plan
Yes
Yes
Category
AI Infrastructure & Agent Tooling
AI Infrastructure & Agent Tooling
Plans
Free
Free
Key features
Three connected products: Catalog (curation), Annotate (labeling), Model (evaluation)
Reinforcement-learning data factory positioning for frontier model training
Human- and model-assisted labeling workflows in one pipeline
Labelbox Unit (LBU) pricing scales by the type of data work performed
Free tier with usage caps for evaluating the platform
Data labeling and annotation infrastructure for machine learning training sets
Self-serve tier with a free monthly allowance before per-unit pricing kicks in
Enterprise volume pricing for large-scale labeling projects
Meta holds a roughly 49% stake following a 2025 investment
Long track record supplying autonomous-vehicle and foundation-model programs
Pros
Full pipeline (curate, label, evaluate) avoids stitching together separate point tools
LBU pricing ties cost directly to the type of work performed rather than a flat per-seat fee
Proven at frontier-model scale with major AI labs as customers
Long operating history gives it deep experience across autonomous vehicle and LLM training use cases
Self-serve free tier lowers the barrier for smaller teams to test the platform
Meta's investment adds financial backing most data-labeling vendors lack
Cons
LBU-based pricing takes time to model accurately before committing to a budget
Built for large-scale data operations, likely more infrastructure than a small team needs
Three-product scope (Catalog, Annotate, Model) adds a learning curve versus a single-purpose labeling tool
Meta's large stake raises questions about neutrality for competing AI labs
Enterprise pricing requires a sales conversation for anything beyond small jobs
Data-labeling work is inherently commoditizing as automated labeling tools mature
Company
Labelbox, founded 2018
Scale AI, founded 2016
Prices come from each vendor's pricing page, last checked 20260716. Check the vendor before you buy.
FAQ
Questions people ask
Is Labelbox better than Scale AI?
In our reviews Labelbox scores 4.1 and Scale AI scores 4.0. The better pick depends on the job. Labelbox: Runs reinforcement-learning data factories that power frontier models for the world's top AI labs. Scale AI: Data-labeling infrastructure that trained early GPT and Waymo models, now backed by Meta.
Labelbox
Scale AI
