OpenAI has announced a significant shift in its monetization strategy for Sora, its advanced text-to-video AI model. As of October 30, 2025, users can now purchase additional "Sora credits," with introductory packs starting at $4. This move comes alongside confirmed plans to gradually reduce the number of free video generations available to non-paying users, beginning as early as December 2025. The changes reflect OpenAI's efforts to balance the high computational demands of its cutting-edge AI with its need for sustainable revenue.

The introduction of purchasable credits marks a pivotal moment for Sora users. A base pack of 50 credits is available for $4, designed to offer flexibility for those needing more than the standard free allowance. For heavier usage, larger packs are also offered, including 150 credits for $10 and 350 credits for $20. Each credit generally equates to approximately one second of 1080p video generation, though resolution and length can influence the exact credit deduction. These credits are immediately available through users' OpenAI account dashboards.

This new structure supplements existing subscription tiers: the free tier, which will see reductions; the Plus plan at $20 per month, offering 500 credits; and the Pro plan at $200 per month, which provides unlimited credits alongside priority access. OpenAI emphasized that these new credit sales aim to help cover the substantial compute resources necessary for generating high-fidelity video. And honestly, high-quality video generation isn't cheap.

Perhaps more impactful for a broad user base is OpenAI's intention to scale back free Sora generations. While a free tier will persist, the company plans a phased reduction, with an initial 20% cut slated for December 1, 2025, and full implementation expected by January 2026. This means the current allowance of around 50 free generations per month for standard users is projected to decrease to roughly 20-30.

This strategy mirrors historical patterns seen with other OpenAI products, such as DALL-E, where free access was often curtailed following initial broad availability. The company states this is to "optimize resource allocation" and encourage adoption of its paid offerings. For artists and hobbyists relying on the free tier, this could be a tough pill to swallow. Don't we all love free stuff, after all?

OpenAI's decision to monetize Sora more aggressively arrives amidst a broader industry trend where AI infrastructure costs are soaring. With annual compute expenses for AI exceeding $1 billion, companies like OpenAI are under pressure to demonstrate clear monetization pathways to investors. Competitors such as Google's Veo and Meta's Movie Gen have already implemented similar credit-based systems. This isn't just an OpenAI thing; it's practically industry standard now.

Community reactions have been, predictably, mixed. Many users on platforms like Reddit have welcomed the affordable $4 entry point, seeing it as a way to conduct "quick experiments" without committing to a full subscription. Experts, like AI researcher Andrew Ng, have praised it as a "smart balance" that democratizes access while funding essential research and development. However, a vocal segment of users has expressed frustration, with some decrying the changes as "paywalling creativity." App Store reviews for Sora reportedly saw a dip from 4.7 to 4.4, with some calling the monetization "greedy." This is a common tension in the AI space: accessibility versus sustainability.

Leading up to these pricing adjustments, OpenAI rolled out several enhancements to Sora throughout October. These included a new storyboard tool for Pro users, an extension of video lengths (up to 25 seconds for Pro users), and the introduction of character cameos, video stitching capabilities, and leaderboards within the Sora app. App access has also expanded to new regions, including the US, Canada, Japan, and Korea, without the previous invite-only requirement. Such feature expansions often precede monetization efforts, enhancing the product's value proposition before introducing additional costs.

These developments underscore OpenAI's commitment to advancing Sora's capabilities while navigating the complex economics of large-scale AI deployment.