Meta Platforms, Inc. vs OpenAI

Business model, scale, and a side-by-side Litmus framework score — which model wins, and for whom.

Meta Platforms, Inc.
Meta Platforms, Inc.Social Media / Tech
OpenAI
OpenAIArtificial Intelligence
OpenAI sells access to closed frontier models; Meta gives weights away to commoditize the layer.

At a glance

MetricMeta Platforms, Inc.OpenAI
Revenue$200.97B (FY2025 Actuals)$25B+ (Annualized Run Rate, early 2026)
Profit$60.46B (FY2025 Net Income)Negative (Heavy compute & training spend)
Active users3.56B daily active people (Mar 2026, Family of Apps)~900M Weekly Active Users (ChatGPT)
Employees~78,000 (FY2025)5,000+
Founded20042015
HQMenlo Park, CASan Francisco, CA

L
Litmus Framework Score

Overall: Meta Platforms, Inc. 92 · OpenAI 96
Customer Segment
98
100
Value Proposition
95
99
Marketing Channel
90
100
Engagement
94
92
Income Source
96
95
Asset Validation
95
98
Core Operations
92
80
Strategic Alliance
85
100
Expense Validation
88
50

Meta Platforms, Inc. leads 4 modules, OpenAI leads 5. Overall edge: OpenAI.

Head to head

DimensionMeta Platforms, Inc.OpenAI
Model accessOpen weights, freeClosed, paid (API + subs)
Direct model revenue$0 direct (ad-funded company)~$25B run rate
Frontier reasoningTrails frontier reasoningGPT-5 (top tier)
Strategic goalPressure rivals' API pricingOwn the intelligence layer

FAQ

Is Meta Platforms, Inc. or OpenAI a better business?
OpenAI sells access to closed frontier models; Meta gives weights away to commoditize the layer. It depends on what you optimise for — see the module-by-module breakdown above.
What is the difference between Meta Platforms, Inc. and OpenAI's business model?
Meta Platforms, Inc. operates in Social Media / Tech (Connect with people, grow your business), while OpenAI is Artificial Intelligence (Creating safe AGI that benefits all of humanity). Their revenue, scale and Litmus scores are compared in detail above.
Which is more profitable, Meta Platforms, Inc. or OpenAI?
Meta Platforms, Inc.: $60.46B (FY2025 Net Income). OpenAI: Negative (Heavy compute & training spend).