微软研究院推出深度学习交换-关联泛函Skala，显著提升Kohn-Sham密度泛函理论计算效率。该模型通过模拟非局部效应，在保持与meta-GGA相当速度的同时，达到混合泛函精度水平。测试显示：W4-17分子体系原子化能量评估平均绝对误差仅1.06kcal/mol，单参考子集误差更降至0.85kcal/mol，GMTKN55基准测试表现优异。
Alibaba
$2
输入tokens/百万
$20
输出tokens/百万
-
上下文长度
Bytedance
$0.8
256
Moonshot
$4
$16
$0.15
$1.5
Tencent
$1
32
$8
Openai
$0.4
128
$0.63
$3.15
131
Anthropic
$105
$525
200
Chatglm
Deepseek
Iflytek
$3.5
$12
Baidu
64
$3
$9
$0.2
16
Huawei
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