Meta has released Muse Spark 1.3, its fourth model in five months. Independent testing shows solid gains on agentic tasks, but a gap to the top stays. What sells the model is the price.
Meta has released Muse Spark 1.3 through Muse Code and the Meta Model API. The series launched in April, with version 1.1 following in July and 1.2 in August. The xhigh tier is available now, while the more compute-heavy max tier arrives only after further safety testing and currently runs as a limited partner preview, according to Artificial Analysis.
At an unchanged $1.25 and $4.25 per million input and output tokens, one index task costs $0.55. No model scoring 59 points or higher is cheaper, and rivals at the same index level run between $0.94 and $1.23. Muse Spark 1.3 does cost more than version 1.2, which ran $0.40.
The gains cluster where the index pays off
On the Intelligence Index, max scores 62 points and xhigh 61, up from 57 in August and 53 in July. The jump comes down to how the index weights its tests. GDPval-AA v2 counts for 20 percent, Terminal-Bench 2.1 for 16 percent, and τ³-Bench Banking for 14 percent, and Meta's biggest gains land in exactly those three tests.
