Imagine how badly distillers and Chinese hosts undercutting Claude would shit their pants if Anthropic offered high throughput first-party support via Cerebras or another wafer-based host with DeepSeek 4.1f, GLM 5.3,.etc. so everyone looki…
model
GLM-5.3-Flash
huggingface.co/zai-org/GLM-5.3-Flash ↗
826875 downloads2200 likesimage-text-to-texttransformers
from the model card
GLM-5.3-Flash 👋 Join our WeChat or Discord community. 📖 Check out the GLM-5.3-Flash blog and GLM-5 Technical report. 📍 Use GLM-5.3-Flash API services on Z.ai API Platform. Introduction We introduce GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks. GLM-5.3-Flash starts from a newly trained base model, with its architecture and training recipe redesigned around capability and efficiency. For the first time in the GLM series, we introduce a hybrid architecture combining sparse and linear attention, sharply reducing long-context serving costs while preserving precise long-context capabilities. The model also adopts Manifold-Constrained Hyper-Connections (mHC) to further improve scaling efficiency. Together with our latest 30T-token multimodal pre-training corpus, these changes enable GLM-5.3-Flash to deliver more intelligence with less compute. Serve GLM-5.3-Flash Locally GLM-5.3-Flash supports deployment with the following frameworks. Feel free to try them out: SGLang — see cookbook vLLM — see recipes TokenSpeed — see here Transformers — see transformers docs KTransformers — see tutorial Unsloth — see guide Note GLM-5.3-Flash supports controlling…
discussions
recent items
Claude should offer first-party support for open-weight models Anthropic hosts via partnerships, hear me out. (www.reddit.com via reddit) GLM-5.3-FlashX: Delivering inference speeds of 200 tokens/s (docs.z.ai via hn) Model Overview GLM-5.3-Flash/GLM-5.3-FlashX is the first native multimodal model in the GLM-5 series, delivering stronger intelligence than GLM-5.2 at an exceptionally low cost.- Highly Efficient Hybrid Architecture - Native Multimodal Vis…
GLM 5.3 is live on Mistral (docs.mistral.ai via hn) September 15, 2026Blog Public PreviewThird-partyv5.3 Z.ai GLM 5.3 A third-party open source text model from Z.ai, hosted by Mistral for long-context coding and agentic workflows. The model is served without Mistral modifications.
Ask HN: What's the most economical approach to the most tokens? (news.ycombinator.com) I'm doing web developement, and game development for a hobby project. I've tried lots of harnesses / IDE's - Best I've found is VSCodium.+ Cline + Openrouter, using discounted models (GLM 5.3 Flash is 50% off atm for example) I used Cursor…
Harness your expectations: a 27B model matched GLM-5.3-Flash after leak fixes (aistack.imec-int.com via hn) Intro In the last few months our aistack team has been on a quest to get a grip on what it takes to own your own AI stack. We’ve looked into the differences in cost and performance when using APIs, renting or buying GPUs, and started ident…
Validating Hybrid-State Cache Recovery for GLM-5.3-Flash with vLLM and LMCache (arxiv.org) External cache transfers can succeed while a hybrid language model resumes from an inconsistent state. We examine the full 45-layer GLM-5.3-Flash model, using the RedHatAI/ GLM-5.3-Flash-NVFP4 quantized checkpoint with vLLM and LMCache und…
Mouse on frontier harness with glm-5.3-flash (mouse.dev via hn) Mouse on GLM-5.3-Flash 23 of 30 FrontierHarness tasks on Z.ai's Flash model, next to the published GLM-5.3 harness runs, for $6.72 in tokens. Community results shared this week ran GLM-5.3 and GLM-5.3-Flash from Z.ai through five coding ag…
Is GLM-5.3-Flash Mythos-Level at Cyber? (generality.org via hn) September 2026 · By James Mann Is GLM-5.3-Flash Mythos-level at Cyber? We ran GLM-5.3-Flash on ExploitBench with a budget of 1 billion tokens per vulnerability.
working with Chinese open weight has interesting side effects (www.reddit.comhttps) I just started using GLM 5.3 Flash with Claude Code; I'm using GSD framework and one of the sub-agents spawned was reporting progress as normal. 正在清理 03.3.1-02-PLAN.md 中的 files_note 元素 translates to Cleaning up the files_note element in 03…
GLM 5.3 Flash vs Kimi K3 for heavy coding — which subscription would you choose? (www.reddit.com via reddit) I'm planning to use AI seriously for coding, roughly 80% GLM 5.3 Flash and 20% Kimi K3 for harder tasks. I mainly care about large projects, debugging, refactoring, agentic coding and value for money.
Just testing my memory safe web browser (news.ycombinator.com) WebKit MiniBrowser compiled with Fil-C on top of Linux userland compiled with Fil-C. GTK4, Weston, etc - all compiled with Fil-C.
A $37 GLM 5.3 red team: the Alloy-modeled auth layer held, but two bugs outside (goodmem.ai via hn) Red-teaming GoodMem with GLM 5.3 We used GLM 5.3 to red-team GoodMem. How we defined the tests, what the agent found, what we fixed, and how we verified the fixes.
10-task GLM 5.3 harness bench: Claude, OpenCode, pi, zcode, Hermes and 3code (capocasa.dev via hn) 10-task GLM 5.3 harness bench: claude, opencode, pi, zcode, hermes and 3code I'm performing a series of harness benchmarks on the same 10 SWE-bench verified tasks representatively chosen for difficulty. This is far from a perfect measure a…
↯ Glm↯ Swe Bench↯ GLM 5.3↯ GLM 5.3↯ GLM 5.3↯ GLM 5.3↯ GLM 5.3swe-benchglm
Help me undestand, Claude memory make the real difference ? (www.reddit.com via reddit) I am working on a big project with Claude Code only context7 mcp added no others tools. With opus 5 is all ok it seems to remember what we have done days before follow the repo conventions etc.
↯ Glm↯ GLM 5.3↯ GLM 5.3↯ GLM 5.3↯ GLM 5.3↯ GLM 5.3glmmcpopus+1
What is your opinion (www.reddit.com via reddit) What is your opinion about cursor ? I mean is it better than using the official coding applications for the agents (liek using glm 5.3 at zcode or cursor, what is the difference?)