Meta’s rapid release cadence for the Muse Spark family, including the 1.2 version’s 1498 Text Arena score in August and 1.3’s early September launch with targeted gains in agentic workflows and coding efficiency, underpins trader optimism that the next 1.4+ iteration will clear the 1480 debut threshold. Continued scaling of training compute on long-horizon tasks, multi-agent orchestration, and real-world usability improvements position the model competitively against frontier peers, while Meta Superintelligence Labs’ focus on practical deployment via the Meta Model API and Muse Code reinforces expectations of strong initial leaderboard placement. Key swing factors include whether the upcoming release prioritizes benchmark-optimized variants or broader product integration, with resolution hinging on the first qualifying Arena appearance by mid-2027.