Elon Musk Plans Monthly AI Model Launches as Grok 4.5 Enters Beta
Elon Musk said xAI will release a new foundation model every month, starting next month. Grok 4.5, currently in private beta, is said to be comparable to Anthropic's Claude Opus.
Turning the AI Race Into a Monthly Sprint
On his 55th birthday, Elon Musk unveiled a relentlessly ambitious roadmap for his artificial intelligence startup, xAI. Musk posted on X in a series of tweets that he plans to release a brand-new foundational model every month for the rest of the year. “These aren’t just little improvements or refined versions of existing software, but each release will be a totally different frontier model trained from scratch,” he emphasised. This breakneck release cycle throws down a massive gauntlet to major competitors like OpenAI and Anthropic, challenging the multi-month testing and development schedules that have normally defined the industry.
Grok 4.5 Enters Private Beta in Internal Face-Off
The first big milestone in this aggressive rollout is Grok 4.5, already in private beta testing. Instead of typical consumer trials, xAI is dogfooding the system hard by running it through complex, heavy-engineering tasks inside SpaceX and Tesla. The technical leap here is huge: Grok 4.5 is built on a 1.5 trillion parameter base architecture called V9, which more or less triples the size of the V8 engine currently handling production traffic on X. The team incorporated training workflows from Cursor, the developer platform acquired earlier this month, to fine-tune its logic and coding capabilities.
Early internal testing shows Grok 4.5 performing on par with Anthropic’s flagship model, Musk said:
"Early evals show performance close to, maybe better than, Opus.
From Generational Leaps to Heavy-Duty Workhorses
Despite the bold claims, Musk tempered broader expectations by describing the new V9 engine as a “solid workhorse” operating in the top tier rather than a completely revolutionary breakthrough. Grok 4.5 is being given a tough workout in demanding aerospace and automotive environments, showing that xAI is aiming at tough, real-world engineering problems, not just everyday chat. Should xAI actually be able to maintain this
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