
More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.
OpenAI has released a family of AI models called GPT-5.6, which includes three versions: Sol (flagship), Terra (balanced), and Luna (cost-efficient). According to the source, these models achieve better results while using fewer computational resources and costing less than previous competing models across tasks like coding, knowledge work, cybersecurity, and science. The models include a feature called "ultra" that coordinates multiple agents working in parallel to complete complex tasks faster, and improved capabilities for design work, document analysis, and computer use that allow the AI to inspect and refine its own outputs before delivering results.

OpenAI's new family of models will continue to power Microsoft's suite of workplace and productivity apps.

Today, Meta Superintelligence Labs released Muse Spark 1.1. Alongside it, Meta opened a public preview of the Meta Model API. That second part is the structural change. Meta’s models previously reached developers mainly as open weights. Muse Spark 1.1 is closed, hosted, and metered per token. So the question is narrow. Where does it belong in a stack you already run? What is Muse Spark 1.1? Meta describes it as a multimodal reasoning model built for agentic tasks. Reported gains ove

OpenAI's latest family of models promises improvements across a range of areas, including cybersecurity.
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven