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GLM-5.3-Flash

Name variants GLM 5.3 flash

我不是程序员,最近在学 AI Coding 。前一阵子知道了 Magpie 。然后把各种能接入的地方都接入了,然后就说试用一下用不了的 Claude Code 。 目前在做一个 Mac 的小软件。发现 GLM 5.3 flash ,在各种 Harness Agent 里面都不如在 Claude Code 里面聪明。天呐,这还有一层等级差距啊? 这是为啥呀? 让他在画某个 UI 的途中,在很多 Agent 里面,他跟我玩 Cosplay ,他还跟我说,最迟 30 分钟给方案,你的这个改动要花一天工时,这种非常拟人的话。然后自然就是什么都画不出来也不知道自己为什么错。那你也知道的,就会又陷入到那种拟人的各种出错、各种无法进行的状态。 我才刚刚试了下 Claude Code ,就发现我靠,它真的能分析出来到底哪一个地

This explanation quotes or summarizes the cited source record. Saving creates a bookmark on this device, with no automatic account sync.

First observed in our collection
Oct 10, 2026, 9:00 AM UTC
Earliest cited publication
Aug 26, 2026, 2:50 PM UTC
Last observed
Nov 5, 2026, 3:41 PM UTC

Evidence in the last complete seven days

Source mentions
1
Previous seven days 1
Distinct sources
1
Previous 1
Comparable growth
Not comparable
Ranking appearances
0

Collection observations and undated records are separate from dated publication counts. Observed in 7d:1 · Undated records:1

Collection coverage · Limited historyCurrent / previous observed days 7 / 3

Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.

Current window:2026-10-29 → 2026-11-05 (end excluded) · History 11 days

Observed source coverage by seven-day window
SourceCurrent daysPrevious daysLast success
arXiv63Nov 5, 2026, 10:00 AM UTC
arXiv72Nov 5, 2026, 10:01 AM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
Ask HN73Nov 5, 2026, 2:30 PM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
GitHub73Nov 5, 2026, 12:15 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases71Nov 5, 2026, 12:00 PM UTC
GitHub73Nov 5, 2026, 2:30 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases73Nov 5, 2026, 3:14 PM UTC
GitHub73Nov 5, 2026, 2:30 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases73Nov 5, 2026, 3:14 PM UTC
GitHub Discovery00Nov 5, 2026, 3:13 PM UTC
GitHub Trending73Nov 5, 2026, 3:14 PM UTC
Google72Nov 5, 2026, 10:00 AM UTC
Hugging Face72Nov 5, 2026, 8:15 AM UTC
Hugging Face Spaces00Nov 5, 2026, 3:13 PM UTC
Hacker News73Nov 5, 2026, 12:45 PM UTC
Hacker News73Nov 5, 2026, 3:30 PM UTC
Hacker News73Nov 5, 2026, 3:30 PM UTC
Hacker News00Nov 5, 2026, 3:13 PM UTC
Show HN00Nov 5, 2026, 3:13 PM UTC
MIT News72Nov 5, 2026, 10:01 AM UTC
OpenAI73Nov 5, 2026, 11:30 AM UTC
Product Hunt73Nov 5, 2026, 12:45 PM UTC
量子位73Nov 4, 2026, 10:15 AM UTC
OpenRouter00Nov 5, 2026, 3:41 PM UTC
Hugging Face Models00Nov 5, 2026, 3:41 PM UTC
HF Daily Papers00Nov 5, 2026, 3:41 PM UTC
OpenRouter00Nov 5, 2026, 3:41 PM UTC
SEC EDGAR73Nov 5, 2026, 10:30 AM UTC
Sequoia Capital72Nov 5, 2026, 10:00 AM UTC
Simon Willison00Nov 5, 2026, 3:13 PM UTC
TechCrunch73Nov 5, 2026, 2:30 PM UTC
Contracts Finder73Nov 5, 2026, 10:00 AM UTC
V2EX73Nov 5, 2026, 2:30 PM UTC
  • Counts describe monitored public sources, not the whole web or search demand.
  • Both weeks need adequate, comparable collection coverage.

Daily history · up to 90 days

Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.

2026-08-262026-11-05

Dotted markers indicate days with no record. They are not counted as zero mentions.

View accessible daily data
Daily source mentions and collection observations
UTC dateMentionsSourcesObservationsRanking appearances
2026-08-261100
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2026-09-29 · No record————
2026-09-30 · No record————
2026-10-01 · No record————
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2026-10-05 · No record————
2026-10-06 · No record————
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2026-10-09 · No record————
2026-10-100010
2026-10-11 · No record————
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2026-10-20 · No record————
2026-10-21 · No record————
2026-10-220000
2026-10-230000
2026-10-240000
2026-10-250000
2026-10-260000
2026-10-270000
2026-10-281110
2026-10-290000
2026-10-300000
2026-10-310000
2026-11-010000
2026-11-021100
2026-11-030010
2026-11-040000
2026-11-050011
Source cover image: GLM-5.3-Flash
Source cover image · openrouter.ai

Source evidence

Sources in the evidence shown:OpenRouter 1 · V2EX 2 · GitHub Releases 1

  1. OpenRouter · Published Not supplied

    GLM-5.3-Flash

  2. V2EX · Published Nov 2, 2026

    [程序员] 在搞一个 AI Coding 的 mac 项目,发现 glm 接入 claude 比 zcode 聪明太多了

    我不是程序员,最近在学 AI Coding 。前一阵子知道了 Magpie 。然后把各种能接入的地方都接入了,然后就说试用一下用不了的 Claude Code 。 目前在做一个 Mac 的小软件。发现 GLM 5.3 flash ,在各种 Harness Agent 里面都不如在 Claude Code 里面聪明。天呐,这还有一层等级差距啊? 这是为啥呀? 让他在画某个 UI 的途中,在很多 Agent 里面,他跟我玩 Cosplay ,他还跟我说,最迟 30 分钟给方案,你的这个改动要花一天工时,这种非常拟人的话。然后自然就是什么都画不出来也不知道自己为什么错。那你也知道的,就会又陷入到那种拟人的各种出错、各种无法进行的状态。 我才刚刚试了下 Claude Code ,就发现我靠,它真的能分析出来到底哪一个地

    View source record →
  3. V2EX · Published Oct 28, 2026

    [分享创造] 用 AI 重做了集思录的界面

    分享一个自己全程用 AI 做的 Chrome 扩展: JSL UI Plugin · 集思录现代化 ,功能如名,就是给集思录重做现代化的界面。主要实现包括: 深浅双主题 卡片化,现代化排版 全站统一的页头页脚等 欢迎大家下载使用,并反馈遇到的问题,我会抽时间跟进修复。 Chrome 商店地址: JSL UI Plugin · 集思录现代化 Github 地址: jsl-ui-plugin 部分截图界面如下: 再写一点感受。 我原本是写后端的,对前端不熟,尤其搞不懂 CSS ,觉得调样式太过复杂,之前多次有想过学习前端都因 CSS 搞不掂而放弃。 但这两周用 AI 重写集思录界面的过程,让我感觉调 CSS 已经没有太高门槛了。具体来说,我用的主要是 ZCode + GLM-5.3-Flash / DeepSeek

    View source record →
  4. GitHub Releases · Published Aug 26, 2026

    Release v5.16.1

    Release v5.16.1 This is a special release as we include GLM! (and a few small fixes) GLM-5.3-Flash GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on cod

    View source record →

Review priority 40 / 100

This score orders research candidates. It is not search volume, a forecast or verified commercial demand.

  • Evidence

    8 / 30

    Distinct dated articles or first observations; repeat crawling adds nothing.

  • Publisher diversity

    8 / 25

    Conservative owner grouping; syndicated copies count once.

  • Comparable change

    0 / 20

    Comparable complete weeks only; no percentage from a zero baseline.

  • Recent evidence

    15 / 15

    Latest publication or first observation, not repeated fetch time.

  • Name specificity

    9.4 / 10

    Explicit entities and technical concepts outrank ambiguous acronyms.

Limitations and interpretation

  • First observation is a collection milestone, not proof that a word or product is new to the world.
  • Counts describe monitored public sources, not the whole web or search demand.
  • First observed here is not the invention date of a name or idea.
  • Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
  • Owner grouping is conservative; undisclosed syndication may remain.
  • Undated observations cannot establish publication growth.
  • Repeat ranking appearances are observations, not new articles or independent endorsements.
  • Both weeks need adequate, comparable collection coverage.
  • Sources behind this term changed or lack a comparable baseline.
  • The previous week is too small for a reliable percentage change.
  • Current evidence comes from one publisher or owner.

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