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Meta发布Muse Spark Open开放权重模型

AI 总结

Interconnects分析指出,Meta本周发布开放权重模型Muse Spark Open,称其已明显成为美国最强的开放权重模型;据Hugging Face模型卡,该模型总参数816B、激活参数42B,上下文窗口达100万token,原生多模态,面向编程与智能体任务。文章认为其性能大致高于GLM 5.2、接近DeepSeek V4.1 Flash,但落后于GLM 5.3与Kimi K3。文章还提到,Meta在发布前几天推出了闭源前沿模型Muse Wonder与Muse Wonder Full,并称随着Muse Spark Open与Reflection的Beam出现,美中最佳开放模型之间的差距大约缩小了一半。

深度见解

文章称,若没有Muse Spark Open和Beam,将有20多个中国公司构建的开放权重模型优于西方最佳模型,而美国开放模型从“基本无关紧要”变为“落后但仍可用”。

This has been a week where the balance of American open-weight models took a step change back toward the frontier. Meta took the lead of this charge with Muse Spark Open, which is now the strongest American-made open model by quite some margin, but the addition of Reflection’s first model Beam is also relevant. Without these two models, there would be 20+ open-weight models built and released by Chinese companies better than the best Western models. At the time of writing this, Mistral has also announced a strong model, Mistral Large 4, with an index score of 38 (see below), but its weights are not yet released. There are rumors of a few more strong American open-weight models coming from other organizations too!

In many ways, the gap between the best American and Chinese models has been reduced roughly by half. We’ve gone from the best American open models being largely irrelevant to consumers who require the cutting edge of performance, to them being behind but relevant.

This paints the picture of the cut-throat, competitive nature of the frontier model business. Reflection and Mistral announced their model scores and Meta dropped the weights of a smarter model before these other two labs could get their own weights out. All of these models are competing with Chinese models released months ago, where the industry is collectively asking — where have Kimi and Zhipu AI been since the releases of GLM-5.3 and Kimi K3 on Aug. 18th and Jul. 16th, respectively?

#Meta#Muse Spark Open#Muse Wonder#Muse Wonder Full#Reflection#Beam#Mistral Large 4#GLM 5.3#Kimi K3#DeepSeek V4.1 Flash#Alibaba Qwen#Anthropic

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