Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2:开源万亿参数MoE模型对比

Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2: Open Trillion-Scale MoE Models Compared on Benchmarks, License, and Serving Cost

精选理由

想选开源万亿模型?这篇直接拿三个主流模型比了基准、许可证和成本,看完就知道选哪个合适。

AI 摘要

文章对三款开源万亿参数MoE模型Kimi K3、DeepSeek V4 Pro和GLM-5.2进行了全面对比。对比涵盖了在多项基准测试中的表现、采用的MIT或Modified MIT许可证以及实际服务成本。文章提供了这些模型在不同维度上的差异分析,帮助读者了解各模型的优劣势。

图片来源 · marktechpost
原文 · marktechpost

Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2: Open Trillion-Scale MoE Models Compared on Benchmarks, License, and Serving Cost

Three open MoE flagships face off on measured intelligence, MIT versus Modified MIT weights, and real serving cost The post Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2: Open Trillion-Scale MoE Models Compared on Benchmarks, License, and Serving Cost appeared first on MarkTechPost .