Ethan Mollick· @emollick · X·· 4 小时前
事实摘要
Artificial Analysis 终于转向闭源基准（告别 GDPval-AA），并发现开源权重模型落后的幅度比此前测量的更大。仅供参考，但这与普遍感受相符：我们还没见到 Fable 级的开源模型。
正文 · 原文
Artificial Analysis finally moves to closed benchmarks (goodbye GDPval-AA), and finds that open weights models are falling further behind than they had previously measured. Take with a grain of salt, but matches the general vibes that we haven't seen a Fable-class open model.
Open weights models fall further behind in v5. The leader, Kimi K3.1 Pro (weights not yet released), scores 46, 12 points behind the leader, compared with a 3-point gap in v4.3. Of models with released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) score highest at 32, and Claude Haiku 5.5 (max) outscores all of them. The gap is widest on HLE-Diamond and Terminal-Bench-Science, where Kimi K3.1 Pro scores 37% and 34%, compared with 68% for Claude Opus 5.5 (max) and 63% for GPT-6 Astra (max).在 X 查看被引用的帖子
来源：Ethan Mollick · x.com