Meta Preps Updated Muse Spark Model, Claims Coding Parity With GPT-5.5

Meta is readying an updated version of its Muse Spark model that it says brings a major leap in coding capability. Chief AI Officer Alexandr Wang stated the new algorithm is competitive with OpenAI's GPT-5.5 across several key AI benchmarks, with the biggest gains in coding tasks, where it substantially improves on the original Muse Spark. The new model reportedly consumed an "order of magnitude" more compute to train.

The claim of catching up to frontier US labs is notable — executives have separately said Meta's models are finally closing the gap with OpenAI, Google and Anthropic, a message that underpins the credibility of the new Meta Compute cloud business that will resell Muse Spark access. The two stories are linked: Meta needs competitive models to justify selling model access to enterprises.

However, reports also indicate Meta pushed back the developer release timeline, so availability specifics remain fluid. That mirrors a broader pattern of model-launch slips and access gating across the industry this week.

Skeptics will note that benchmark parity claims from a vendor are self-reported and that "competitive with GPT-5.5" measures against a model OpenAI has already superseded with GPT-5.6. The order-of-magnitude compute increase also raises efficiency questions. Watch for the actual release, independent benchmark verification, and whether Muse Spark's coding gains hold up against Claude and GPT in real developer use.