Meta Launches Low-Cost AI API to Market
Meta announced it will offer an API for its AI model 'Muse Spark 1.1' at $4.25 per million output tokens. This price is lower than xAI's 'Grok 4.5' and significantly undercuts the pricing of OpenAI and Anthropic. Meta's entry is intensifying price competition in the AI API market.

Meta has entered the AI API service business. The API usage fee for its model 'Muse Spark 1.1' is set at $4.25 per million output tokens. This is an even lower level than xAI's 'Grok 4.5', which was released the previous day, and significantly cheaper than the pricing of major AI companies such as OpenAI and Anthropic.
An API is an interface that allows developers to integrate external AI models into their own applications and services. In this market, companies have recently continued to compete on price reductions, and the per-token cost has dropped dramatically over the past few years. Meta's entry is positioned as a move that further accelerates this price competition.
Meta has been known for publicly releasing open-source AI models, including the LLaMA series, at no cost. The company, which has increased its presence in the AI field through integration into its own products and research use, is noteworthy for now taking a direct revenue model approach through API charges.
Meanwhile, this move could be a pressure point for OpenAI and Anthropic. Both companies are investing massive amounts of capital in AI model research and development, and API revenue is one of their major income sources. If a company of Meta's scale provides APIs at low prices, there is a possibility that customers will shift to cheaper alternatives. Startups relying solely on AI business are likely to be more affected than larger diversified enterprises.
Meta is a massive platform company with advertising revenue as its main pillar, and it has a structural advantage in that it does not necessarily need to prioritize the profitability of its AI business alone. This asymmetric competitive environment raises the question to the entire industry of whether pure AI research labs can sustainably secure revenue.
Price competition in the AI API market is expected to continue, and from the perspective of developers and business users, there are benefits in expanded choices and cost reduction. On the other hand, for AI companies rushing to secure profitability, it means increasingly harsh revenue conditions. Going forward, attention will focus on how much Meta will expand its API business and how existing players will respond in terms of pricing and functionality.
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