LOADING DATASHEET
LOADING DATASHEET
by Zhipu
RANKED #4 OF 266 ASSISTANTS · OVERALL #4 OF 6,544 · VIBE SCORE 7.5 · 9,676 VOICES
A fast and affordable AI model designed to help with coding and everyday problem solving.
1.2k mentions
138 mentions
26 weeks · 13,063 voices
QUIETLY DEGRADING
Recent vibe and chatter are both sliding.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download GLM 5.3 once and it's yours. No subscription, no rate limits, works offline.
744B parameters (MoE with 40B active), a Q4 quantized file requires about 420 GB memory
Apple Mac Studio M2 Ultra
192 GB UNIFIED RAM
~$4,200 USEDToo big for typical consumer hardware; runs extreme 2-bit quants (IQ2_XS) with slow offload, ~4 tok/s, short context
Apple Mac Studio M3 Ultra
512 GB UNIFIED RAM
~$7,500 NEWQ4 quantization, ~12 tok/s, 32k context
Multi-GPU Workstation with 8x NVIDIA RTX 4090
192 GB VRAM PLUS 512 GB RAM
~$15,000 CUSTOM BUILDDistributed Q4 or AWQ tensor-parallel inference, ~35 tok/s, up to 128k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long GLM 5.3 takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMApple Mac Studio M2 Ultra | SWEET SPOTApple Mac Studio M3 Ultra | FULL POWERMulti-GPU Workstation with 8x NVIDIA RTX 4090 |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~2.1 MIN★★★★★ | ~42 S★★★★★ | ~14 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~6.3 MIN★★★★★ | ~2.1 MIN★★★★★ | ~43 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~33 MIN★★★★★ | ~11 MIN★★★★★ | ~3.8 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~1.7 HR★★★★★ | ~35 MIN★★★★★ | ~12 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~63 MIN★★★★★ | ~21 MIN★★★★★ | ~7.1 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Users love GLM 5.3 for its fast, accurate answers and strong coding skills at a great price. However, some complain about frequent outages, usage limits, and a tendency to lecture or refuse requests.
3199 POSTS · 6477 COMMENTS · X · BLUESKY · REDDIT · HACKER NEWS · GITHUB · LEMMY · DEV.TO · BLOG
69 thumbs up · 7 thumbs down
34 thumbs up · 15 thumbs down
9 thumbs up · 19 thumbs down
13 thumbs up · 7 thumbs down
13 thumbs up · 5 thumbs down
2 thumbs up · 10 thumbs down
4 thumbs up · 1 thumbs down
“GLM 5.3 is the newest member to the cost-accuracy pareto for Terminal-Bench 3.0, replacing Grok 4.6 Impressive improveme.”
“🚨 GLM 5.3 absolutely cooked Qwen3.8 Max 😭 Qwen 3.8 Max returned basically a black screen And somehow Qwen cost me ~11×.”
“The GLM 5.3 API just went live, and it got so good at finding weak spots in code that the makers paused the download.”
“idk what they did with GLM 5.3 but this thing feels insanely fast compared to Fable 5 and GPT-5.6.”
Checked picks first: tags say why you would switch, stars say how fully each one stands in for GLM 5.3.
We gave GLM‑5.3 a complex reverse-engineering task. It found a potentially serious vulnerability in Cursor. We disclosed
GLM-5.3 API is now live. - Built for coding, defensive cybersecurity, and long-horizon agentic tasks - Priced the same a
Thoughts About Scaling Law Scaling, but not only of parameters. Every model release now ends with the same question: how
2 things are happening at once: - AI coding models are converging. For 95% of tasks, most people can’t tell whether GPT-
GLM-5.3 achieves 60 on the Artificial Analysis Intelligence Index, on par with Kimi K3 and up 7 points from GLM-5.2. Onc
GLM-5.3: Frontier coding with emergent cyber capabilities
GLM-5.3 has released, beating Fable & the new DeepSeek V4-Pro 0813 from just yesterday on Terminal-Bench. It used GL
Quick tip: download the open models you care about from Hugging Face as soon as you can. You never know what the next fe
Local AI hardware guide : ~$2k : rtx3090 desktop with Qwen3.8-27b ~$4k : DGX Spark with Deepseek-V4-Flash 2.5bit ~$7k :
GLM-5.3 is available now through GLM Coding Plan and ZCode. API access and open weights will be released in stages follo
GLM 5.3 finds 2436 unpatched open source vulnerabilities likely missed by Mythos (Project Glasswing)
People are seriously sleeping on GLM-5.3 right now. At just 743B parameters, it basically matches the performance of mod