Meta launches a new AI coding model with 'very aggressive' pricing, CEO Mark Zuckerberg says

Meta has entered the competitive AI coding landscape with the introduction of its latest model, Muse Spark 1.1. Announced on Thursday, this innovative AI system has reportedly excelled in industry tests, showcasing its capabilities in coding and managing AI agents. In a recent statement on X, CEO Mark Zuckerberg emphasized the model's low pricing, although specific costs have yet to be disclosed. He criticized the pricing strategies of other AI companies, labeling their chatbot prices as 'very extreme' in an interview with Bloomberg. Zuckerberg expressed confidence that Muse Spark 1.1 outperformed Google's Gemini in several key areas, including coding and AI functionalities. This launch represents a significant step for Meta as it ventures into a monetized AI model, aiming to offer high-level intelligence at a more accessible price point. If successful, Muse Spark 1.1 could challenge established coding tools from competitors such as Anthropic, OpenAI, and Cursor, potentially opening up a lucrative revenue stream for Meta. Following the announcement, Meta's stock saw a nearly 2% increase. The rising costs associated with AI implementation have become a pressing issue for businesses, prompting many to limit their employees' AI usage. For instance, Coinbase has set a weekly spending cap on AI for its engineers ranging from $500 to $5,000. One of the early adopters of the new model, AI coding startup Cline, praised its affordability for heavy coding tasks. CEO Saoud Rizwan noted, "That combination is rare, and it's exactly why we wanted Cline developers to have access early." Meta is significantly investing in its AI initiatives, raising its capital expenditure forecast for the year to between $125 billion and $145 billion, a jump from the previous estimate of $115 billion to $135 billion. Despite this investment, the company remains heavily reliant on its advertising business, which constitutes about 98% of its total revenue. According to BNP Paribas Equity Research analyst Nick Jomes, Meta is strategically positioned to generate sufficient revenue to sustain its AI spending. This could be driven by the monetization of its AI projects, increased advertising revenue, subscription services, and external fees for its AI models. Additionally, Meta is developing another AI model, codenamed 'Watermelon,' which its AI chief, Alexandr Wang, claims is on par with the latest version of OpenAI's ChatGPT. This new model is expected to utilize significantly more computing power than its predecessor, as revealed to staff last week. As Meta forges ahead in the AI sector, the implications of its pricing strategy and model performance will be closely watched by both investors and competitors alike.