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$META bulls say its ad cash flow lets it undercut the AI labs on price. The Muse Wonder launch shows Meta matching their prices instead. Meta released Muse Wonder and Muse Wonder Full on Monday and says they score level with Claude Fable 5.1 and GPT-6 Astra on its own tests. Three details from the launch. 1. Wonder costs $4 per million input tokens and $20 per million output tokens on Meta's API. TechCrunch puts that in the same price band as GPT-6 Sol and Opus 5.5. Meta is pricing with the labs, not under them. 2. The stronger model, Wonder Full, is not on the API at all. It is only available to Muse Code subscribers. A developer comparing API models is not buying the model Meta uses to claim the frontier. 3. Both models are distributed only through Meta's own API and Muse Code subscriptions, and the launch says nothing about releasing the weights. I read this as Meta adopting the labs' business model rather than attacking it. The frontier model is a subscription product, and the API is priced at the labs' level rather than below it. That weakens one part of the bull case. If Meta is not undercutting, the price pressure on the labs that bulls expected has not arrived with this launch. The question for the results on 21 October is what Muse subscriptions, Muse Code and the API are earning against the spend on the Prometheus data centre that trained these models, not whether Meta can take the labs' customers on price.

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