# Meta unveils its most powerful AI model, nearing top competitors

> Source: <https://cryptobriefing.com/meta-muse-spark-ai-model-competitors/>
> Published: 2026-09-02 19:45:38+00:00

Photo: Tima Miroshnichenko / Pexels

# Meta unveils its most powerful AI model, nearing top competitors

Muse Spark 1.3 marks Meta's most aggressive push yet into closed, proprietary AI as the company races to close the gap with OpenAI and Anthropic.

Meta spent years being the company that gave away its AI models for free. That era is quietly ending.

On September 2, 2026, Meta released Muse Spark 1.3, its most capable AI model to date, and opened API access to developers the following day on a paid basis. The move is a meaningful signal: the company best known for making its Llama models freely available is now building a proprietary frontier product it intends to monetize directly.

Alexandr Wang, Meta’s chief AI officer, said the model’s capabilities are increasingly comparable to leading offerings from OpenAI and Anthropic.

## From Llama to Muse: a quiet strategic pivot

The Muse family represents a genuine philosophical shift for Meta’s AI division. The company formalized the transition in April 2026 with the first Muse Spark release, then shipped version 1.1 in July and version 1.2 on August 5, before arriving at 1.3 less than a month later.

The Llama series, which made Meta a favorite among researchers and developers who wanted to run powerful models locally without licensing fees, is no longer the primary vehicle for the company’s frontier ambitions. Muse Spark is closed, API-gated, and paid, which puts it structurally in the same lane as GPT-4o and Claude.

Meta did not abandon openness entirely. Muse Glimmer, a distilled variant released in August 2026, is designed to run on consumer-grade GPUs and remains open-weight.

## $130B in bets: what Meta is actually spending

Meta’s capital expenditure guidance for 2026 projects spending between $130 billion and $145 billion on infrastructure this year, directed at data centers, custom silicon, and compute capacity needed to train and serve frontier models.

Mark Zuckerberg has described the company’s goal as building what he calls “personal superintelligence.” The company already serves roughly three billion people daily across Facebook, Instagram, and WhatsApp, with Meta AI already integrated across its apps as the consumer-facing expression of this strategy.

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