Image created with Gemini. Image prompt: Hand-painted Studio Ghibli style square cover of a young scholar in a seaside cobbled town archway lowering a porcelain smiling mask brushed with delicate ink strokes and a small red seal, revealing warm lantern-light and floating scrolls and paper books inside the hollow face, a carved wooden hanging shop sign reading ‘Zhipu AI’ in bold clean legible letters above, soft gouache watercolor backgrounds with terracotta rooftops and teal harbor in golden-hour light, cozy wistful mood, cinematic wide framing.
GLM-5.2 is good but it is not GPT-5.5/Opus 4.8, and even further from Mythos. Yet it is solid & it demonstrates that the open models continue to chase the frontier What is happening is that open weights crossed into GPT-5.2 territory & capabilities at that point are considerable”
https://x.com/emollick/status/2071284966139568440
How good is GLM-5.2? GLM-5.2 (Max) ranks higher than Claude Opus 4.8 (Thinking) on Code Arena, where Frontend coding tasks are being voted on by the community. Below in thread are 10 examples of the same prompts given to both models and completed in a single shot.”
https://x.com/arena/status/2070563149481414779
WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF – YouTube
https://www.youtube.com/live/htM02KMNZnk?t=18296s
omg omg GLM-5.2 is beating fable. china is catching up” chill out and listen to Lisan: > slightly ahead of Opus 4.5 > behind GPT-5.2, Gemini 3 Pro and Opus 4.6″
https://x.com/scaling01/status/2072346101068238946
I can personally attest: OpenClaude using GLM 5.2 is now performing on par with Claude Code powered by Opus 4.8.”
https://x.com/kevincodex/status/2070354383158861955
Introducing ZCode, the official development environment for GLM-5.2 – GLM Coding Plan subscribers: now 1.5x usage quota in ZCode – BYOK supported: works with your existing subscriptions and APIs – Available on macOS, Windows, and Linux Download now:”
https://x.com/Zai_org/status/2072349453361557898
Today’s YouTube video is a longer look at MoA in Hermes Agent, trying to answer some of the common questions: How does using MoA impact cost, speed, and quality? I created an open weights MoA using GLM-5.2, Kimi K2.6 and Minimax M3 to find out, then made a three-headed Grok”
https://x.com/tonbistudio/status/2071595794147250540
𝗚𝗟𝗠-𝟱.𝟮 (the latest open weights model) is having an Enterprise moment, and it is not an exaggeration.🚀 🔥 We have been impressed by how strongly GLM-5.2 is pushing long-horizon performance .. not just in coding, but also in 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴, 𝘁𝗼𝗼𝗹”
https://x.com/RajeswarSai/status/2072006835444347390
Got GLM-5.2 running on my Mac Studio via llama.cpp, the reasoning behind all my medical agentic workflows. It orchestrates a swarm of tiny on-device OpenMed experts: oncology, meds, labs. No cloud, no rate limits, nobody can take it away. AI must be owned, not rented.”
https://x.com/MaziyarPanahi/status/2070503452178796704
Built a new agent app for DevRel content research powered by @Zai_org GLM-5.2. Takes your product + audience and turns developer demand into practical blog and talk ideas. Chat-first. Say something like: “I’m working on a Chrome extension for frontend devs that extracts SVGs,”
https://x.com/Astrodevil_/status/2071572680470655253
You can start building with GLM 5.2 in minutes: 1️⃣ Download dcode 2️⃣ Select your model (GLM 5.2) 3️⃣ Enter your API key …and you’re ready to go with frontier performance on open weights. Great demo from @its_ao”
https://x.com/LangChain/status/2072334663457067064
Zai going strong: they officially launched ZCode 3.0. The new AI-native coding IDE is deeply optimized for GLM-5.2 and supports agentic software development from planning and coding to code review and deployment. • Deep GLM-5.2 integration with multi-agent collaboration •”
https://x.com/kimmonismus/status/2072378141041991702
We’ve been impressed with GLM-5.2 and so are introducing a $9.99/month subscription to give you 2-5x discounted access to it and other open weight models like DeepSeek, Kimi, MiniMax, Mimo, Qwen. Use it on Cline CLI & IDE with $1.99 special promo if sign up via: npm i -g cline”
https://x.com/cline/status/2071617325296734309
That Wall Street Journal article about GLM catching up with Mythos (which is not true & the reporting doesn’t back up) is another one of those “everyone will ask me about it at every conference or meeting” articles. Big impact on the policy zeitgeist, even if not fully accurate.”
https://x.com/emollick/status/2071630972521705513
Sonnet 5’s Runescape benchmark scores are big improvement over Sonnet 4.6’s, but outclassed by Pareto frontier neighbors like GLM 5.2 and Gemini 3.5 Flash.”
https://x.com/maxbittker/status/2072054926746779806
Claude Sonnet 5 costs more than Claude Opus 4.8 on the Artificial Analysis Intelligence Index task, and 4.75X more than GLM-5.2. Token efficiency is important.”
https://x.com/Yuchenj_UW/status/2072070274300948497
Sonnet 5 goes straight into the garbage bin > 1.2x more expensive than Opus 4.8 Max > 2x more expensive than GPT-5.5-xhigh > 5x more expensive than GLM-5.2 > 7x more expensive than Kimi-K2.6 > 57x more expensive than DeepSeek-V4-Pro”
https://x.com/scaling01/status/2072071305281540338
If you want to read an interesting AI thinking trace, try “I want you to suggest two poems that you think apply very well to the current state of GenAI models like you. Don’t just pick popular poems and back justify. Think hard about options first” in either GLM-5.2 or Opus 4.8″
https://x.com/emollick/status/2070384714691584239
GLM 5.2 just became the first open-source model to lead a category on APEX-SWE. It scored a 55.3% Pass@1 on Integration, the top score we’ve recorded for any model, open or closed source. On the overall leaderboard, GLM 5.2 scored 37.3% Pass@1, ranking 6th place. That makes it”
https://x.com/mercor/status/2072448918751941041
GLM-5.2 is the most intelligent open weights model available, but also the most verbose among the leading models GLM-5.2 (max) used ~141M output tokens (95% reasoning) to run the Artificial Analysis Intelligence Index (1.8x the average model). Key takeaways: ➤ GLM-5.2″
https://x.com/ArtificialAnlys/status/2072022576394821859
The official GLM-5.2 NVFP4 from NVIDIA is now available. Curious how it compares to other quantizations.”
https://x.com/ZixuanLi_/status/2070391097612783775
GLM-5.2 in NVFP4 is ready to serve in vLLM 🚀 @NVIDIAAI’s official NVFP4 checkpoint of GLM-5.2 on Blackwell cuts the memory footprint vs FP8 while matching its accuracy across reasoning, coding, and long-context benchmarks. Serve it today with: vllm serve nvidia/GLM-5.2-NVFP4″
https://x.com/vllm_project/status/2070569806940848328
First dflash model we trained in house is live (qwen3-32b) and providing ~50% higher throughput for the same hardware. Nice! Need to test dspark next (and then build out dflash or dspark drafters for GLM-5x etc.)”
https://x.com/jon_durbin/status/2072293557172363720
GLM 5.2 DSpark preview is here! ✨
https://t.co/DQOMYEiY1o This is the first DSpark speculator for a non-DeepSeek frontier model, trained with Speculators and running on vLLM nightly for ~1.5× faster decode for GLM-5.2-FP8 on 4×B300. Stronger checkpoints to come!”
https://x.com/mgoin_/status/2072525522639212825
Leave a Reply