#WorkBuddy 或 #CodeBuddy
很多开发者、程序员用CodeBuddy来写代码,我因为工作原因写投资市场、二级市场分析报告。

workbuddy定时任务太好用了,根据我业务需要做不同时间短的分析。接方双手,在配置定时任务,不能选择模型,有一点小学遗憾,因为同一任务,不同模型执行消耗积分不一样。

模型积分消耗情况:
(1)、最多积分消耗排名
积分消耗 | 模型 | 客户端 |
|---|---|---|
535.52 | kimi-k2.7 | WorkBuddy |
227.89 | glm-5.2 | WorkBuddy |
155.06 | glm-5.2 | WorkBuddy |
130.86 | kimi-k2.7 | WorkBuddy |
109.59 | kimi-k2.7 | WorkBuddy |
108.82 | kimi-k2.7 | WorkBuddy |
102.64 | glm-5.1 | WorkBuddy |
91.91 | kimi-k2.6 | WorkBuddy |
91.57 | glm-5.1 | WorkBuddy |
89.74 | glm-5.2 | WorkBuddy |
85.91 | glm-5.1 | WorkBuddy |
83.01 | kimi-k2.7 | WorkBuddy |
74.18 | glm-5.2 | WorkBuddy |
68.19 | kimi-k2.7 | WorkBuddy |
62.66 | glm-5.2 | WorkBuddy |
61.57 | glm-5.2 | WorkBuddy |
61.06 | kimi-k2.6 | WorkBuddy |
45.98 | kimi-k2.6 | WorkBuddy |
45.07 | kimi-k2.6 | WorkBuddy |
44.45 | kimi-k2.6 | WorkBuddy |
44.08 | kimi-k2.6 | WorkBuddy |
(2)、最少积分消耗排名
积分消耗 | 模型 | 客户端 |
|---|---|---|
0.01 | deepseek-v4-flash | WorkBuddy |
0.02 | deepseek-v4-flash | WorkBuddy |
0.02 | deepseek-v4-flash | WorkBuddy |
0.03 | deepseek-v3-0324-lkeap | CodeBuddyIDE |
0.03 | deepseek-v3-0324-lkeap | CodeBuddyIDE |
0.03 | deepseek-v3-0324-lkeap | CodeBuddyIDE |
0.05 | deepseek-v4-pro | WorkBuddy |
0.11 | deepseek-v4-pro | CodeBuddyIDE |
0.12 | deepseek-v4-pro | CodeBuddyIDE |
0.13 | deepseek-v4-flash | CodeBuddyIDE |
0.13 | deepseek-v4-flash | CodeBuddyIDE |
0.13 | deepseek-v4-flash | CodeBuddyIDE |
0.15 | deepseek-v4-flash | CodeBuddyIDE |
0.15 | deepseek-v4-flash | CodeBuddyIDE |
0.15 | deepseek-v4-flash | CodeBuddyIDE |
0.17 | deepseek-v4-flash | CodeBuddyIDE |
0.17 | deepseek-v4-pro | CodeBuddyIDE |
0.19 | deepseek-v4-pro | CodeBuddyIDE |
0.2 | deepseek-v4-pro | CodeBuddyIDE |
0.25 | deepseek-v4-pro | CodeBuddyIDE |
上述两张表是积分使用排行, 1、workbuddy的积分消耗比CodeBuddy的快。2、GLM与Kimi的积分消耗比deepseek的块。
PS: 在定时任务中,如果可以配置模型就更好了。
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