What happened
Meta Platforms Inc. released Muse Spark 1.3, which it says puts it at the same level as the most recent models from OpenAI Group PBC and Anthropic PBC. The model scored 62 on an independent Artificial Analysis Intelligence Index, behind only Claude Fable 5.1 and Claude Opus 5 and ahead of OpenAI's models.
Why it matters
Meta has spent hundreds of billions of dollars on AI infrastructure, and investors are nervous about returns. The company has shifted from open-source Llama models to a proprietary strategy similar to Anthropic and OpenAI, and this release suggests Meta could finally start seeing payback from its AI investments.
What to watch
The test is whether the proprietary strategy pays off, as investors watch for returns on Meta's massive AI spending. Watch whether developers favor Muse Spark 1.3 over rivals' models at the same price as version 1.2.
Summaries like this, in your inbox every morning.
Meta's aggressive release cadence — four Muse Spark models in five months — shows how quickly the company is trying to close the gap with its rivals. The shift away from open-source weight releases marks a strategic pivot, as Meta now follows the proprietary path of Anthropic and OpenAI, partly to address investor concerns over massive spending. Wang's comments highlight efficiency gains, such as using roughly 25% fewer tokens for the same tasks, which could appeal to developers watching costs. The pending decision on weights and the future Watermelon model remain open questions that could shape Meta's competitive position.
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