Z.ai
@Zai_org · user_feedback@z.ai · joined 20 Nov 2023
The AI Lab behind GLM models, dedicated to inspiring the development of AGI to benefit humanity. https://t.co/gOw7WpwkJt https://t.co/ot9sGVXU8x
161 229Followers
268Following
1 252Posts total
26.4MViews on collected posts
Latest posts
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@Zai_org 3x in two weeks!
only takes two weeks yall! https://t.co/WBS1rWq89r
3.1K views · 53 likes
· 0 reposts · 0 replies
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@Zai_org You should teach @OpenAI and @AnthropicAI https://t.co/O0snZbfa75
9.7K views · 121 likes
· 1 reposts · 4 replies
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@Zai_org well, the pacing is probably dead
8.4K views · 114 likes
· 3 reposts · 0 replies
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We’re sharing how GLM-5.3 helped build and optimize the inference infrastructure serving GLM-5.3-Flash.
The system went from its first successful run to production readiness in less than two weeks, with end-to-end throughput tripling relative to the initial baseline.
The key
987.8K views · 4.1K likes
· 471 reposts · 197 replies
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GLM Coding Plan turns one year old today.
To celebrate, we're giving every current subscriber a Reset Card. Use it to refill both your weekly and 5-hour quotas.
Thanks for using GLM, helping shape it, and pushing it to its limits.
- Personal plan: https://t.co/3ut8Lnzhn4
-
274.5K views · 2.1K likes
· 102 reposts · 159 replies
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@Zai_org A vendor we can rely on! We really need this box on 10 GbE. https://t.co/mikoZ1fSKa
6.5K views · 85 likes
· 0 reposts · 0 replies
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@Zai_org worth noting GLM-5.3 has transitioned away from MIT to a semi-non-commercial license similar to Kimi, MiniMax, Qwen, and others
8.3K views · 89 likes
· 1 reposts · 4 replies
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@Zai_org Congrats Z ai team, once again another amazing open-source release! 🥰 We're working on GLM-5.3 Unsloth GGUFs for those who can run it locally. https://t.co/bqGzanDcb3
22.2K views · 294 likes
· 28 reposts · 11 replies
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GLM-5.3 is now open-weight.
Our most capable model for agentic coding and cyber defense is now available to download, run, and customize.
Weights: https://t.co/v1IbWMXxg4
Tech blog: https://t.co/ekQkO83jCv https://t.co/f8XlJksKyf
1.4M views · 8.5K likes
· 957 reposts · 275 replies
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More good news: GLM-5.3’s weights will be released tomorrow.
https://t.co/v1IbWMXxg4
545.8K views · 4.8K likes
· 405 reposts · 148 replies
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@Zai_org Huge congrats Z ai team once again and thank you for open-source!
We are working hard on making GLM-5.3-Flash available for you all to run locally hopefully later today/early tomorrow! https://t.co/E73FKC7IKM
61.6K views · 787 likes
· 34 reposts · 20 replies
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Architectural enhancements, combined with an optimized pre-training corpus, enable GLM-5.3-Flash to deliver greater intelligence with less compute. https://t.co/L0B2bLPKlT
156.7K views · 1K likes
· 34 reposts · 6 replies
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On the https://t.co/w8mHB85z4n Code Bench, which measures real-world coding performance, GLM-5.3-Flash clearly outperforms GLM-5.2 at every effort level and performs on par with Claude Opus 4.8. https://t.co/UNenXGTwfp
200.1K views · 1K likes
· 29 reposts · 16 replies
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Standard API Pricing for GLM-5.3-Flash (per 1M tokens)
- Input: $0.15
- Output: $0.50
- Cached input: $0.03
550.7K views · 2.4K likes
· 94 reposts · 74 replies
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Introducing GLM-5.3-Flash
- Leading capabilities at a highly competitive price
- Natively multimodal with a 1M-token context window
- A 320B-A18B model released under the MIT License
- Previously previewed as Ox Alpha, running entirely on Chinese AI chips
Blog: https://t.co/KOC
6.9M views · 23.9K likes
· 2.6K reposts · 1K replies
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The community has already built so many interesting projects with ZCode + GLM-5.3.
To thank everyone for all the support, we’re turning Build Week into an ongoing series.
From now to Aug 23 at 6 PM PT, we’re giving 50,000 new ZCode users 100M free GLM-5.3 tokens each.
183.2K views · 988 likes
· 53 reposts · 69 replies
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@Zai_org Congrats guys! Does this make GLM-5.3 the strongest open model to date so far? 🤯 We can't wait to make quants for it for the people who can run it.
Would also be incredible if you guys could create smaller models like before like GLM-4.7-Flash! 🙏
39.6K views · 899 likes
· 18 reposts · 19 replies
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An initial group of partners is now offering GLM-5.3-powered services through our official service, with its safeguards and usage policies in place. We’re expanding partner access through a consistent and responsible process and will share updates publicly.
86K views · 636 likes
· 14 reposts · 8 replies
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GLM-5.3 takes agentic coding to the next level, delivering a dramatic improvement over GLM-5.2 while achieving better results with fewer output tokens. https://t.co/KGc6ZR7GHv
123.1K views · 913 likes
· 38 reposts · 10 replies
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GLM-5.3 is available now through GLM Coding Plan and ZCode. API access and open weights will be released in stages following rigorous safety evaluations.
GLM Coding Plan: https://t.co/002j3FkZkZ
ZCode: https://t.co/lOy3IRTGqJ
144.5K views · 1.1K likes
· 30 reposts · 28 replies
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Introducing GLM-5.3: Built to Code. Ready for Cyber Defense.
- Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model
- A major leap in cybersecurity, setting a new standard among open models
Tech Blog: https://t.co/ekQkO83jCv https://t.
5.9M views · 19.4K likes
· 2.4K reposts · 951 replies
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@Zai_org Thanks for releasing the weights with a good license
19.2K views · 400 likes
· 2 reposts · 1 replies
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GLM-5.2 also delivers significant improvements in AI slide generation, long-context document processing, long-form writing, and long-context role-play. Experience these enhancements at https://t.co/gocggreDem.
76.8K views · 394 likes
· 12 reposts · 2 replies
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We also detail the infrastructure innovations powering our 1M context window and agentic RL. Explore the full breakdown at https://t.co/wDDG7PloPE. https://t.co/Gs9fw2m87M
91.2K views · 564 likes
· 36 reposts · 4 replies
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For GLM-5.2, we strengthened 1M-context training for coding agents across large-scale implementation, automated research, performance optimization, and complex debugging. The result is a long-context system that is both broad in scope and reliable in execution. https://t.co/ar2rw
95.6K views · 626 likes
· 23 reposts · 5 replies
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GLM-5.2 leads GLM-5.1 by a wide margin across various domains, including coding, tool usage, reasoning, and general knowledge. https://t.co/uEzHseLizM
252.7K views · 1.2K likes
· 81 reposts · 16 replies
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Introducing GLM-5.2: Frontier Intelligence, Open Weights
- Significant improvements in coding and agentic tasks
- Strong long-horizon capabilities with a 1M context window
- Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong ht
7.7M views · 13.2K likes
· 1.8K reposts · 725 replies
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Against accounts of the same size
22 posts from the last 90 days, next to the 100K–1M follower range. shown to more people than peers of the same size.
Median views150 590this account5 983median for 100K–1M
Reach, %93.40%this account1.49%median for 100K–1M
Engagement, %0.85%this account0.93%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 150 590 | 5 983 | 25.2× |
| Reach (views ÷ followers) | 93.40% | 1.49% | 62.7× |
| Engagement rate | 0.85% | 0.93% | 0.91× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
200.1K26 Aug
156.7K
61.6K
545.8K27 Aug
1.4M28 Aug
22.2K
8.3K
6.5K
274.5K1 Sep
525.2K3 Sep
987.8K17 Sep
8.4K
9.7K
3.1K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.55%26 Aug
0.67%
1.37%
1.01%27 Aug
0.70%28 Aug
1.52%
1.14%
1.33%
0.89%1 Sep
2.24%3 Sep
0.50%17 Sep
1.40%
1.29%
1.70%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes73.2%100 377 in total
Reposts7.0%9 633 in total
Replies3.1%4 201 in total
Quotes4.2%5 773 in total
Bookmarks12.5%17 211 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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