# Meta’s 95% AI Discount: Paying Users for Data

> Meta is offering massive price cuts on its new Muse Spark model to convince developers and companies to share their usage data for AI training.
- Title: Meta’s 95% AI Discount: Paying Users for Data · TechCrunch
- Summary: Meta is offering massive price cuts on its new Muse Spark model to convince developers and companies to share their usage data for AI training. Meta is…
- Keywords: meta, data privacy, pricing, machine learning, technology, startups, Discount, Paying, Users, Data, TechCrunch
- Source: TechCrunch — https://techcrunch.com/2026/09/03/meta-is-paying-to-peek-at-how-you-use-their-latest-ai-model
- Author: Tim Fernholz
- Read time: 1 min
- Topics: ai, meta, data privacy, pricing, machine learning, technology, startups
## Meta puts a price on data
Meta is offering an average 95% discount on its new Muse Spark model if users agree to share their prompts and outputs to train future AI models.

> Meta has taken that idea and put a price tag on it.
## Slashing token costs
Standard input tokens cost $1.25 per million and outputs cost $4.25. Under Meta's contributor tier, those prices drop to $0.10 and $0.20 per million tokens.
## Meta's push for new training data
The aggressive discount follows Meta's recent struggles to source training data, including a controversial program tracking employee computer usage that was paused after internal pushback.
## Agentic AI relies on workflow logs
Real-world interaction logs are essential for training AI agents. Major capability jumps in tools like coding assistants relied heavily on storing user sessions for reinforcement learning.
## Pushing enterprises to share
Companies usually pay heavy premiums for enterprise plans to keep data private. Meta’s massive discount incentivizes firms to re-evaluate what data is genuinely proprietary.

> They stick with token-billed Enterprise plans even though the subscription-based consumer plans like Claude Max and ChatGPT Pro are discounted by 10x-20x
## Intensifying AI price wars
Meta's contributor tier ramps up price competition among frontier AI labs, following recent cost reductions from competitors like OpenAI and Anthropic.
## Key takeaway

Meta is turning data privacy into a financial trade-off, using 95% discounts to source real-world user data for its next-generation AI models.