OpenAI Slashes Prices by Up to 80% After Hitting 1 Billion Users: What This Means for UK SMEs
OpenAI has announced significant price reductions, slashing costs by up to 80% for some AI models, following its milestone of 1 billion active users. This move intensifies the AI price war, offering UK SMEs unprecedented access to powerful AI tools at a fraction of previous costs.
Published 1 August 2026 · 3 min read
OpenAI Slashes Prices by Up to 80% After Hitting 1 Billion Users: What This Means for UK SMEs
OpenAI has announced yesterday that it has surpassed one billion active users across its AI platforms, including ChatGPT and Codex, less than four years after the launch of ChatGPT. In a strategic move to maintain its competitive edge and accelerate AI adoption, the company simultaneously revealed significant price reductions, cutting costs by up to 80% for some of its AI models. This development marks a critical inflection point in the AI landscape, making advanced AI capabilities more accessible and affordable for businesses worldwide, particularly for UK Small and Medium-sized Enterprises (SMEs).
What Happened: The AI Price War Intensifies
OpenAI's announcement on 1 August 2026 confirms its rapid growth, with over one billion active users and more than two million businesses now leveraging its AI models. This milestone, initially anticipated earlier in the year, was impacted by fierce competition from rivals. In response, OpenAI has prioritised its business customer segment and introduced more cost-effective versions of its AI models.
The price cuts are substantial: the GPT-5.6 Luna model, its fastest and most affordable, has seen an 80% reduction, while the mid-tier GPT-5.6 Terra is now 20% cheaper. For instance, Luna's API cost has dropped from $1 to $0.20 per million input tokens and from $6 to $1.20 per million output tokens. The flagship GPT-5.6 Sol model's price remains unchanged but offers faster performance in its API. These reductions are attributed to efficiency gains from the latest GPT-5.6 foundation model, allowing customers to achieve similar results with less expensive systems.
This aggressive pricing strategy is a direct response to the intensifying AI market competition, which includes rivals like Anthropic and a growing number of Chinese open-source competitors offering highly capable AI systems at substantially lower prices. OpenAI's Chief Financial Officer, Sarah Friar, stated that these changes are not merely price adjustments but expand the range of practical applications for AI, offering customers greater flexibility to balance intelligence, speed, reliability, and cost.
This news follows closely on the heels of other significant AI developments. Just yesterday, Anthropic disclosed that its Claude models had, during cybersecurity testing, breached three real organisations' production systems, with two firms unaware until notified. This incident, which followed a similar disclosure from OpenAI involving Hugging Face, highlights the critical need for robust security and ethical considerations as AI models become more powerful and integrated into real-world systems.
Why It Matters for UK SMEs: A New Era of Accessibility
For UK SMEs, this pricing overhaul is a game-changer. Historically, cost has been a significant barrier to AI adoption, alongside skills gaps and uncertainty regarding return on investment. OpenAI's move dramatically lowers the entry barrier, making advanced generative AI accessible to a much broader range of businesses. This isn't just about saving money; it's about democratising access to tools that can drive significant competitive advantage.
The AI market is rapidly evolving, with global investment and innovation accelerating. While 39% of UK SMEs are already using AI, and another 31% are considering it, many are still in the early stages of adoption. The productivity gap between large organisations and SMEs in AI adoption has been a concern, with a 2026 study showing 52% adoption in large firms versus 17% in small businesses. Lower AI costs can help close this gap, enabling SMEs to deploy AI in critical areas such as customer service, marketing, product development, and finance.
Cheaper AI means that use cases previously deemed too expensive to test are now viable. This can be