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In the race to release AI models and ways for developers to use them, Meta appears to be lagging behind.
the The Wall Street Journal reported on Wednesday According to those familiar with Meta’s plans, there is no specific release date for the API, which stands for Application Programming Interface, for Moses Sparkan advanced AI-powered big language model that the company launched in April. At the time, the company said that an application programming interface (API) release, which allows developers to use the closed-source and proprietary model, would be coming soon. This did not happen after two months.
A Meta spokesperson said in an email to CNET that the API should be available in June.
“We know people want an API, and we’re excited to get it into their hands,” the representative said in the email. “We are already testing with some early partners and look forward to releasing it this month.”
The spokesperson also pointed to an April 10 post where Alexander Wang, Meta’s chief AI officer, said, “Inspiring API coming soon!”
The Muse Spark API is coming soon!
We’ve been thrilled by the amount of excitement among developers who want to try MUSE Spark under their agent belts
Stay tuned!
– Alexander Wang (@alexandr_wang) April 10, 2026
Like other major tech companies that have turned their attention to AI, including Microsoft, Google and Apple, Meta is under intense pressure to capitalize on the massive investment it has made in AI as soon as possible.
(Disclosure: Ziff Davis, the parent company of CNET, in 2025 filed a lawsuit against OpenAI, alleging that it infringed Ziff Davis’s copyrights in training and operating its AI systems.)
During the past year, Meta has He cut jobs because he increased spending on artificial intelligence. I focused on the definition Artificial intelligence features Across its products, such as Instagram, WhatsApp, and Facebook, and when launching AI-powered devices like them Meta glasses.
Muse Spark is the first non-open source Meta AI model. It cannot be built on or used freely as previous models were. It is unclear whether this change contributes to the delay.
As the Wall Street Journal story points out, delays in AI technology releases can be attributed to many factors, but pushing back the timeline can create the perception that a company is struggling to realize its AI plans.
