Hello X 👋
I’m Rudra Sarker from Bangladesh 🇧🇩
• AI Developer
• https://t.co/wf7gsJK9fX Ambassador
• IoT Builder
I’m building AI agents with GLM models and sharing tools, experiments, and projects.
Follow my journey 🚀
🚨 SURPRISE DROP — LIVE NOW 🚨
100M free GLM-5.3-Flash tokens just landed in ZCode. Sign in, tap the card, start building.
5,000 packs · first come, first served.
All of it burns at 10 PM ET / 7 PM PT tonight.
The day is yours. ✨
https://t.co/SIbFFU5KTf
We’ve seen many comments and requests from our partners regarding framework compatibility. To ensure everything is properly supported and works reliably at launch, we’ve slightly adjusted the open-weight release timeline.
Thank you all for your patience and support.
GLM-5.3-Flash is live in ZCode today 🎉
The first natively multimodal GLM-5 model: it outperforms GLM-5.2 and approaches Claude Opus 4.8 on coding and agentic tasks, at 1/10 the cost.
Why use it in ZCode:
• 3× the quota of GLM-5.3 on Coding Plan, plus an extra 1.5× only in ZCode
• Controls your browser and computer with our new Browser Use and Computer Use
To celebrate, we've reset the quota for every Coding Plan user tonight. Open ZCode, switch to GLM-5.3-Flash, and enjoy.
Get ZCode → https://t.co/91cnk4pSBh
Model details → https://t.co/jeeYGXtjZa
Ox Alpha was an early version of GLM-5.3-Flash. The official release delivers stronger performance and significantly better stability.
Huge thanks to @opencode and @OpenRouter for making it available to the community. And thank you to everyone who tried it, pushed it to its limits.
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/tzOmB7gdZP
Available now across all official platforms:
Weights: https://t.co/9LRMahY9Wa
API: https://t.co/VcaQnzYmS9
Coding Plan: https://t.co/Nk8Y98HNhU
ZCode: https://t.co/Peepqv4XSx
Chat: https://t.co/WCqWT0qCQb
AutoClaw: https://t.co/aGEG5HqTTb
Introducing GLM-5.3 — now available in ZCode.
Rolling out to all users today.
We're also resetting quotas for every Coding Plan user: 5-hour and weekly usage are back to zero.
New users can try GLM-5.3 on the free tier, no subscription required.
Read more: https://t.co/BsGybdXsmI Get ZCode: https://t.co/9y0HPmcBxz
GLM-5.3 uses the same 743B base model as GLM-5.2, while matching the performance of models several times its size. Benchmark highlights:
- Terminal Bench 3.0: 28.3
- DeepSWE: 66.9
- Agents' Last Exam: 28.5
- GDPVal-AA: 1769
Today we release LFM2.5-2.6B, an agentic model that runs entirely on-device. It plans, calls tools, and works through multi-step tasks on phones, laptops, PCs, and robots. Data never leaves the device, and the marginal cost of each run is essentially zero.
> Pre-trained on ~34T tokens
> LFM2.5 flagship hybrid architecture
> Context length: 128K
> Vocab size: 128K
> balanced intelligence per watt
> customizable on a single GPU for any specialized task
> LFM2 open-weight license
Comparable or better scores compared to models up to nearly 4x its size:
> ToolSandbox 77.83, ahead of Qwen3.5-9B at 76.44
> Multi-IF 80.07, ahead of Gemma-4-E4B-it at 77.35
> IFStruct 85.49, ahead of Qwen3.5-9B at 78.50
🧵
News is reporting that the next version of GLM is upon us. Stay tuned for it to hit the Arena.
In the meantime, check out how GLM-5.2 (Max) landed in the Frontend Code Arena below (#2 overall, and #1 in open).
Big opportunity for AI builders: @Zai_org is teaming up with @awscloud for #FromIdeaToFrontier. 3 months, 1 MVP, and a shot at the global stage plus GLM API credits, AWS support, and top-tier mentorship. Build bold. Apply by Aug 12. #AWS#GLM#Startups
https://t.co/ZbgbCOU5sw