The model race is not only about who can claim the smartest system. Meta’s Muse Spark 1.3 update points to the more commercial fight: who can offer enough capability at a price that makes mass deployment possible.
That matters because most AI products do not need the most expensive frontier model for every request. They need reliable, fast, affordable intelligence that can run across millions of interactions without wrecking margins.
If Meta keeps pushing down price while improving quality, rivals will feel pressure in the middle of the market. The winners may be developers who can route tasks across models instead of betting every workflow on one premium option.
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