Artificial Analysis:美国开源权重模型上周在智能与参数效率上双双提升
US open-weights models made gains in both intelligence and parameter efficiency last week:
Artificial Analysis 汇总称,美国开源权重模型上周在智能水平和参数效率上均有提升。NVIDIA 发布 Nemotron 3.5 Bolt 和 Nemotron 3.5 Super VL,后者以 120B 参数在 Intelligence Index 上得分 26.5,将 Inkling Small 挤出帕累托前沿;Meta 的 Muse Spark Open 得分 38.9,比 Super VL 高 12 分以上,是美国开源权重模型迄今最高智能得分;Reflection 的首个模型 Beam 1.0 以 501B 参数得分 30.3,落在 Super VL 与 Muse Spark Open 之间。
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三条发布在同一周内接连刷新美国开源权重模型的智能与参数效率前沿,可对照各家规模与得分。
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US open-weights models made gains in both intelligence and parameter efficiency last week:
➤ Thursday morning: NVIDIA released Nemotron 3.5 Bolt and Nemotron 3.5 Super VL. Super VL scored 26.5 on the Intelligence Index with 120B parameters, pushing Inkling Small off the Pareto frontier
➤ Thursday midday: Meta's Muse Spark Open scored 38.9, more than 12 points ahead of Super VL and the highest intelligence yet for a US open weights model
➤ Friday morning: Beam 1.0, Reflection's first model, scored 30.3 with 501B parameters, joining the frontier between Super VL and Muse Spark Open
See our full comparison of open weight models on Artificial Analysis https://t.co/Xbo3xVvEod