Every week, I organize 400 to 700 links into roughly 60 categories as part of my ongoing effort to learn about AI. This is my personal notebook, which I enjoy sharing with friends… a hobby and a labor of love, rather than a commercial publication or product.
If you arrived here through a search or shared link, this page collects the links I found for Zhipu AI for the week ending September 4, 2026.
As part of my learning process, I like to automate the category covers. It gives me a chance to learn Python and APIs.
This week’s cover prompt was written using Claude Opus 4.7, and the image was generated using Nano Banana 2.1.
Category Cover Image Prompt: A psychedelic screen-printed gig poster of a coiling jade dragon spiraling around a luminous pearl, its scales melting into swirling op-art ribbons, chrysanthemums, and ginkgo leaves against a harvest moon over stylized pagoda rooftops, with 'Zhipu AI' hand-lettered in bold bending Fillmore-era psychedelic script at the top. Electric magenta, acid orange, deep teal, and cream paper palette with a lime green pop, flat ink layers with slight registration offset, intricate linework, ornate decorative border, vertical poster composition.
This Week in Zhipu AI News
Summary by Claude Sonnet 5.5 based on this week’s links:
- Weights open, size is the story: Zhipu's Z.ai opened the GLM-5.3 weights, a 744B-parameter model with 40B active and a 1M context window. Unsloth says its 2-bit version shrinks the model from 1.51TB to 239GB and keeps about 81% accuracy, so a 256GB Mac can run it.
- Everyone is hosting it: Within days GLM-5.3 or its Flash variant showed up on Perplexity's Agent API, Ollama, Arcee, and Baseten, which launched a faster GLM-5.3 Fast. Databricks reported 310 tok/s for GLM-5.3 and called it the strongest open-source coding model on its internal benchmark.
- Flash earns a cheap-and-good reputation: GLM-5.3-Flash landed in Agent Arena at #19 overall with a $0.12 median cost per task. Databricks said it beats GLM-5.2 by 10% on its OfficeQA Pro v2 benchmark at a tenth of the cost. Z.ai also pushed a configuration fix for Flash after some agentic workflows underperformed.
This summary was generated by Claude Sonnet 5.5 to help you explore the links below. Rest assured, I select, organize, and check the links by hand in Google Sheets, and write the introduction and personal commentary in The Main Newsletters myself each week as a labor of love.
This week's links related to Zhipu AI
42 models are now available through the Perplexity Agent API, including the open-weight GLM 5.3 from @Zai_org. Switch models by changing one field in your request. Add fallbacks to keep your agent running if a model becomes unavailable.
https://x.com/perplexitydevs/status/2094945628426256638
GLM-5.3 can now be run locally! The 2-bit model retains ~81% accuracy after we shrunk it from 1.51TB to 239GB (-83% size). Run on a 256GB Mac or RAM/VRAM setups. GLM-5.3 is the strongest open model to date. Guide:
https://t.co/NLgb3CMB6A GGUF:
https://x.com/UnslothAI/status/2093397494889890050
🎉 Congrats to @Zai_org on opening the GLM-5.3 weights, the largest model in the GLM-5.3 line. Day-0 support in vLLM. 744B total, 40B active, 1M context, 128K max output. @Zai_org kept the GLM-5.2 base and scaled post-training instead, so nothing under the model changed. vLLM
https://x.com/vllm_project/status/2093354756244992383
Today, we’re releasing GLM-5.3 Fast: one of the most intelligent open-weight models ever at an even higher TPS. Designed for real-time use cases that demand consistent performance. Get access here:
https://x.com/baseten/status/2095338689492578693
GLM-5.3 at 310 tok/s! Databricks inference is #1 in both speed and latency, again. On our internal Databricks coding benchmark, GLM-5.3 is the strongest OSS model for coding, competitive with Fable 5 and Opus 4.8.
https://x.com/Yuchenj_UW/status/2094993931268420072
Exciting news: GLM-5.3-Flash by @Zai_org has landed in Agent Arena! At a $0.12 median cost per task and a +4.6% net improvement, it has reshaped the Pareto frontier! GLM-5.3-Flash is placed between DeepSeek V4 (High) and GPT-5.6 Luna (xHigh). Based on 9K+ real-world agentic
https://x.com/arena/status/2094440382440611935
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://x.com/Zai_org/status/2093354097122455713
Yesterday, we rolled out a configuration update for GLM-5.3-Flash to improve performance in some agentic use cases. If it underperformed Ox Alpha in your workflow between August 26 and 27, please give it another try and let us know if the experience has improved.
https://x.com/ZixuanLi_/status/2093328501520663007
GLM-5.3 is a good model, and as the open weights models get better and better it becomes increasingly important that they actually publish model cards, do red teaming, etc. Since you can break the guardrails with any open model, we need a sense of what the risks are as well.
https://x.com/emollick/status/2093399712208494741
We are rolling out GLM-5.3 on Ollama. Private. Fast. US and Europe hosted. No data retention. Try Ollama’s GLM-5.3-Flash as we bring it GLM-5.3 online. Super fast. Claude Code: ollama launch claude –model glm-5.3-flash:cloud OpenCode: ollama launch opencode –model
https://x.com/ollama/status/2093356025084797176
GLM-5.3-Flash at 270 tok/s! Databricks inference team is on fire. So proud of the team! On our OfficeQA Pro v2 benchmark, GLM-5.3-Flash delivers 10% higher quality than GLM-5.2 at just 1/10 the cost. Fast, cheap, and good.
https://x.com/Yuchenj_UW/status/2093177892356472978
GLM-5.3-Flash is #19 overall with 4.6% net improvement (#4 among open), and by signal: – Confirmed Success: +15.3% – Praise vs. Complaint: +4.9% – Steerability: +2.4% – Bash Recovery: -0.7% – No issues with Tool Hallucination
https://x.com/arena/status/2094440384592298478
DeepSeek-V4-Flash-Vision-Exp weights are released. Now there’s some feature parity with Moonshot and GLM.
https://x.com/teortaxesTex/status/2094375909868368213
The Arcee API now includes GLM-5.3 and GLM-5.3-Flash. Two weeks ago we opened the catalog beyond Trinity so you can run your favorite open models from one endpoint: Trinity, DeepSeek, Kimi, Inkling, and now GLM. ➡️ Use them in nac for long-running, hands-off work.
https://x.com/arcee_ai/status/2094964589775479266
GLM-5.3 is officially live on Hugging Face. What should run it locally: – FP8: 10-12× H100 or 8× H200 – 4-bit/NVFP4, roughly 390-430GB: one 512GB Mac Studio or 4× DGX Spark – Aggressive 2-bit, roughly 230-250GB: one 256GB Mac Studio or 2× DGX Spark, with quality and context
https://x.com/kimmonismus/status/2093354978534477956
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