Meta leaped into the premier frontier-model tier with the release of Muse Wonder and Muse Wonder Full, featuring Active Memory architecture and scoring 79.0 on DeepSWE 1.1, placing it right alongside Opus 5.5 and GPT-6 Astra. Meanwhile, Subquadratic launched SubQ Snap, a long-context decision model supporting a 384K context window with constant compute scaling, outperforming Jev across enterprise benchmarks at $0.05 per million input tokens with free outputs.

We’ll talk about:

Breakthrough multimodal models featuring Active Memory and Active Focus, securing top-tier rankings on DeepSWE 1.1 and MemoryBench.
Subquadratic's new routing engine offering constant compute per token across a massive 384K context window with free output tokens.
Semiconductor leader backing Reflection AI at a $250B valuation trajectory to solidify domestic open-weight reasoning infrastructure.
CAISSI safety evaluators granted direct advisory roles in federal governance and frontier model deployment decisions.

Keywords: Muse Wonder Full, Muse Wonder, SubQ Snap decision model.

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🎙 EP 375: Meta Launches Muse Wonder & SubQ Snap Launches 384K Decision Model

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🎙 EP 375: Meta Launches Muse Wonder & SubQ Snap Launches 384K Decision Model