Meta says its new model beat two rivals across half the benchmarks. Half.
Winning half the tests means losing the other half. Meta framed a coin flip as a comeback.
"Muse Glimmer outperformed the comparably-sized Gemma4-31B and Qwen3.6-27B across half the benchmarks" [SOURCE ↗]
THE MOVE: CHERRY-PICKED SLICE, the flattering subset, presented as the whole
THE CLAIM. Meta released Muse Glimmer, a 30B open-weight model, and said it outperformed the similarly sized Gemma4-31B and Qwen3.6-27B across half the benchmarks.
THE CHECK. 'half the benchmarks' means it also lost half. That is the number Meta chose to lead with. Independent testing by Artificial Analysis puts Qwen3.6-27B ahead overall, 38 to 35 on its Intelligence Index, and clocks Glimmer hallucinating at 82% versus Qwen's 49%.
THE TWIST. this is not an open version of Meta's most powerful model. That is Muse Spark 1.2, whose weights are promised 'soon', with no date. Glimmer is the real news anyway: after more than a year of closed releases, Meta shipped actual Apache 2.0 weights that run on a single consumer GPU. Good story. Bad spin on top of it.
On August 10, 2026, Meta Superintelligence Labs released Muse Glimmer, a 30-billion-parameter model under the Apache 2.0 license, on Hugging Face. Quantized to roughly 17 to 18 gigabytes, down from about 60 at full precision, it runs on a single 24 or 32 gigabyte consumer GPU. Mark Zuckerberg attach
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