noscript main { max-width: 1180px; margin: 0 auto; padding: 32px 24px; color: #6b7280; font: 16px/1.6 system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; } noscript h1 { margin: 0 0 28px; color: #111827; font-size: 28px; line-height: 1.25; } noscript a { color: #0284c7; text-decoration: underline; text-underline-offset: 2px; } noscript .gf-crawler-header { border-bottom: 1px solid #e5e7eb; } noscript .gf-crawler-header-inner { max-width: 1180px; margin: 0 auto; padding: 18px 24px; } noscript .gf-crawler-home-link { color: #0284c7; font-size: 18px; font-weight: 600; } noscript .gf-crawler-topic-list { width: 100%; } noscript .gf-crawler-topic-list-head, noscript .gf-crawler-topic-row { display: grid; grid-template-columns: minmax(0, 1fr) 120px 120px 160px; } noscript .gf-crawler-topic-list-head { border-bottom: 2px solid #e5e7eb; color: #9ca3af; font-size: 15px; font-weight: 600; } noscript .gf-crawler-topic-list-head span { padding: 0 12px 10px; } noscript .gf-crawler-topic-list-head span:not(:first-child) { text-align: center; white-space: nowrap; } noscript .gf-crawler-topic-items { margin: 0; padding: 0; list-style: none; } noscript .gf-crawler-topic-row { border-bottom: 1px solid #e5e7eb; } noscript .gf-crawler-topic-row > div { padding: 20px 12px; align-self: center; } noscript .gf-crawler-visually-hidden { position: absolute; width: 1px; height: 1px; padding: 0; margin: -1px; overflow: hidden; clip: rect(0, 0, 0, 0); white-space: nowrap; border: 0; } noscript .gf-crawler-topic-title { margin: 0 0 4px; font-size: 20px; line-height: 1.35; } noscript .gf-crawler-topic-meta { margin: 0 0 12px; color: #6b7280; font-size: 14px; } noscript .gf-crawler-topic-meta a { margin-right: 8px; } noscript .gf-crawler-topic-excerpt { max-width: 760px; margin: 0; color: #8b9098; } noscript .gf-crawler-topic-number, noscript .gf-crawler-topic-activity { color: #8b9098; text-align: center; white-space: nowrap; } noscript .gf-crawler-topic-page { max-width: 920px; } noscript .gf-crawler-topic-head { padding-bottom: 24px; border-bottom: 1px solid #e5e7eb; } noscript .gf-crawler-topic-summary { max-width: 760px; margin: -14px 0 18px; color: #8b9098; font-size: 17px; } noscript .gf-crawler-post-meta { margin: 0 0 18px; color: #8b9098; font-size: 14px; } noscript .gf-crawler-post-meta a, noscript .gf-crawler-post-meta span, noscript .gf-crawler-post-meta time { margin-right: 12px; } noscript .gf-crawler-post-body { max-width: 760px; color: #374151; } noscript .gf-crawler-post-body img, noscript .gf-crawler-post-body video { display: block; max-width: 100%; max-height: 560px; width: auto; height: auto; object-fit: contain; } noscript .gf-crawler-post-body figure { margin: 16px 0; max-width: 100%; } noscript .gf-crawler-post-body table { display: block; max-width: 100%; overflow-x: auto; border-collapse: collapse; } noscript .gf-crawler-post-body pre { overflow: auto; padding: 12px; background: #f3f4f6; } noscript .gf-crawler-post-list { margin-top: 28px; } noscript .gf-crawler-post-list h2 { margin: 0 0 8px; color: #111827; font-size: 20px; } noscript .gf-crawler-post-list ol { margin: 0; padding: 0; list-style: none; } noscript .gf-crawler-post { padding: 18px 0; border-top: 1px solid #e5e7eb; } noscript .gf-crawler-user-page { max-width: 980px; } noscript .gf-crawler-user-head { display: flex; gap: 18px; align-items: center; padding-bottom: 22px; border-bottom: 1px solid #e5e7eb; } noscript .gf-crawler-user-avatar { width: 88px; height: 88px; border-radius: 50%; object-fit: cover; background: #f3f4f6; } noscript .gf-crawler-user-head h1 { margin: 0 0 4px; } noscript .gf-crawler-user-meta, noscript .gf-crawler-user-bio { margin: 0; color: #8b9098; } noscript .gf-crawler-user-bio { margin-top: 10px; max-width: 680px; color: #6b7280; } noscript .gf-crawler-user-stats dl { display: grid; grid-template-columns: repeat(4, minmax(0, 1fr)); gap: 12px; margin: 20px 0 32px; } noscript .gf-crawler-user-stats div { padding: 12px 0; border-bottom: 1px solid #e5e7eb; } noscript .gf-crawler-user-stats dt { color: #8b9098; font-size: 13px; } noscript .gf-crawler-user-stats dd { margin: 2px 0 0; color: #374151; font-size: 20px; } noscript .gf-crawler-user-section { margin-top: 28px; } noscript .gf-crawler-user-section h2 { margin: 0 0 12px; color: #111827; font-size: 20px; } noscript .gf-crawler-activity-list { margin: 0; padding: 0; list-style: none; } noscript .gf-crawler-activity { padding: 14px 0; border-top: 1px solid #e5e7eb; } noscript .gf-crawler-activity time { display: block; margin-top: 4px; color: #8b9098; font-size: 14px; } noscript .gf-crawler-error { max-width: 560px; min-height: 224px; margin: 0 auto; display: flex; flex-direction: column; align-items: center; justify-content: center; text-align: center; padding: 48px 24px; } noscript .gf-crawler-error-code { width: 32px; height: 32px; display: flex; align-items: center; justify-content: center; border-radius: 999px; background: #f3f4f6; color: #8b9098; font-size: 12px; font-weight: 600; letter-spacing: 0.05em; } noscript .gf-crawler-error h1 { margin: 8px 0 4px; color: #111827; font-size: 20px; line-height: 1.4; } noscript .gf-crawler-error-message { margin: 0; color: #8b9098; font-size: 14px; } noscript .gf-crawler-error-actions { margin: 16px 0 0; } noscript .gf-crawler-footer { max-width: 1180px; margin: 24px auto 0; padding: 20px 24px 32px; border-top: 1px solid #e5e7eb; color: #374151; } noscript .gf-crawler-footer p { margin: 0; } @media (max-width: 700px) { noscript main { padding: 24px 16px; } noscript .gf-crawler-header-inner, noscript .gf-crawler-footer { padding-left: 16px; padding-right: 16px; } noscript .gf-crawler-topic-list-head { display: none; } noscript .gf-crawler-topic-row { display: grid; grid-template-columns: 1fr; padding: 18px 0; } noscript .gf-crawler-topic-row > div { width: 100%; padding: 0; text-align: left; white-space: normal; } noscript .gf-crawler-topic-row > div:not(:first-child) { width: auto; margin-right: 12px; color: #8b9098; font-size: 14px; white-space: nowrap; } noscript .gf-crawler-topic-title { font-size: 18px; } noscript .gf-crawler-topic-excerpt { margin-top: 8px; } noscript .gf-crawler-user-head { align-items: flex-start; } noscript .gf-crawler-user-stats dl { grid-template-columns: repeat(2, minmax(0, 1fr)); } }

YourTJ Forum

DeepSeek V4.1 Flash有没有大手子体验

想知道好不好用。许愿式编程和指令式编程环境下的表现

闲聊茶馆 jkljkluiouio 2026-09-12T07:49:57Z 更新于 2026-09-12T07:49:57Z 5 回复 4 赞 112 浏览

帖子

#1 jkljkluiouio 2026-09-12T07:49:57Z

想知道好不好用。许愿式编程和指令式编程环境下的表现
#2 jkljkluiouio 2026-09-21T16:12:35Z

回复 @jkljkluiouio

好的，体验了半天，我觉得我可以给我自己回答一下。

给我的体验大概是智力上略低于 GLM-5.3-flash，但是注意力很强（相应的也可能发生一些意外的事情）。对于用户指定行为的工程任务/计划过的任务完成比较出色，对于约束较弱的要求完成地较差，总时长会花得比较长。

当然吐词速度是没得说的，但是综合下来由于约束弱的时候 agent 探索比较多，所以花的时间其实还是挺长的
#3 Primrose 2026-09-21T17:02:00Z

自问自答，不赖
#4 HSrockstar 2026-09-22T10:41:53Z

感觉还是可以让GPT做方案让deepseek去干活
#5 lanqiu_shuodong 2026-09-23T00:27:28Z

在数学建模期间三天蹬了20亿token，平时使用也大概已经几十亿了，整体体验下来，感觉coding能力很强，比起5.6sol应该是不妨多让的，但是和astra比还是差不少，建议项目基础架构由astra进行设计，然后由ds进行完成，
#6 yzxoimoe 2026-09-23T07:35:38Z

有点拉，不如 glm 5.3 flash。但这两个都太墨迹了。

回到首页 · 启用 JavaScript 以获得最佳体验。