Newsletter Subscribe
Enter your email address below and subscribe to our newsletter
Enter your email address below and subscribe to our newsletter

Meta Platforms has repeatedly pushed back plans to release the developer API for its Muse Spark AI model, with no scheduled launch date as of Wednesday, June 3, according to The Wall Street Journal. Bugs and infrastructure issues are cited as the primary reasons for the delays, which have now stretched nearly two months since the model’s April unveiling.investing
Meta debuted Muse Spark on April 8 as the first model from its Meta Superintelligence Labs, the research division led by Chief AI Officer Alexandr Wang, who joined the company as part of a deal worth roughly $14 billion to acquire Scale AI. At launch, Meta said it would offer the model in a “private API preview to select partners,” but no public API, waitlist, or developer signup was made available.cnbc
The model was positioned as Meta’s answer to frontier AI systems from OpenAI, Anthropic, and Google, with competitive benchmark results in multimodal reasoning, health intelligence, and visual tasks. Wang described it on LinkedIn as “the most powerful model that Meta has released.”fortune
The Wall Street Journal reported on June 3 that Meta had originally planned to release the API alongside the model’s April launch but was unable to do so. According to Reuters, Meta has repeatedly pushed back the release, and as of Tuesday had no firm date. The delays are attributed to bugs and infrastructure challenges in preparing the API for broader use.wsj
A Meta spokesperson told Reuters that the API is currently being tested with a small group of early partners and that the company still aims to release it to developers this month.aol
The delays stand in contrast to the approach taken by rivals. Both OpenAI and Anthropic made public API access available within days of their model announcements, according to an analysis by developer platform WaveSpeed. For independent developers and startups, there remains nothing to apply for — no endpoint documentation, no pricing, and no rate limit disclosures have been published.wavespeed
Meta’s inability to deliver on the API underscores the gap between its ambitions in AI and its readiness to serve external developers, even as it spends between $115 billion and $135 billion on AI-related capital expenditures in 2026.cnbc