Artificial Analysis Ranks Z.ai's GLM-5.2 Top Open-Weight Model at 51
Z.ai's GLM-5.2 has become the leading open-weight model on Artificial Analysis's Intelligence Index v4.1, scoring 51, 11 points above GLM-5.1, and ranking ahead of MiniMax-M3 and DeepSeek V4 Pro, both at 44, and Kimi K2.6 at 43. Artificial Analysis said GLM-5.2 also led open-weight models on GDPval-AA v2, its benchmark for real-world agentic performance, with 1524 versus 1418 for MiniMax-M3 and 1328 for DeepSeek V4 Pro, roughly level with GPT-5.5 at 1514.
The update builds on Z.ai's release earlier this week of GLM-5.2 as an MIT-licensed model for coding and agentic tasks, with a 1 million-token context window, up from 200,000 on GLM-5.1, and first-party API prices of $1.4 per 1 million input tokens, $4.4 per 1 million output tokens and $0.26 per 1 million cached tokens. Artificial Analysis said the 744 billion-parameter model, with 40 billion active parameters, sits on the Pareto frontier of intelligence versus cost per task at about $0.46, though it used 43,000 output tokens per Intelligence Index task, up from 26,000 for GLM-5.1.
From the sources (25 posts)
@zai_orgIntroducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits,
@zai_orgFor GLM-5.2, we strengthened 1M-context training for coding agents across large-scale implementation, automated research, performance optimization, and complex debugging. The result is a long-context system that is both broad in scope and r
@zephyr_z9Zhipu is about to drop a banger
@zephyr_z9HOLY SHIT!!
@victormustarGLM-5.2 is available on Hugging Face 🔥 It's an important day for open source AI: opus-class frontier intelligence, 1M context, agentic-first by design. --> The future of AI and humanity is open
@clementdelangueRT @Zai_org: Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long…
@zephyr_z9Zhipu did an absolutely crazy drop
@teortaxestex> We propose IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9× at a 1M context length. We also improve GLM-5.2’s MTP Good demonstration that a lot could be squeezed o
@testingcatalogZAI 🔥: GLM-5.2 is now available on huggingface! > It comes with a 1M context window and 2 levels of reasoning effort, max and high. MIT license and same pricing as GLM-5.1. > GLM-5.2 scores 46.2% on DeepSWE, the SOTA score among op
@lmsysorg🎉 Meet GLM-5.2 from @Zai_org, the new flagship for long-horizon tasks built on a solid 1M-token context. Day-0 support is now live in SGLang! ✅ Advanced coding capability: 81.0 on Terminal-Bench 2.1 (vs 62.0 for GLM-5.1) ✅ Solid 1M contex
@calebfahlgrenRT @Zai_org: Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long…
@zai_orgRT @ProximalHQ: GLM 5.2 ranks #3 on FrontierSWE. It is only behind Fable 5 and Opus 4.8, and it outperforms GPT-5.5. This is the first mod…
@zai_orgRT @Designarena: BREAKING: GLM-5.2 is now 1st on Design Arena. With an Elo of 1360, GLM-5.2 has jumped ahead of the now unavailable Claude…
@teortaxestexGLM 5.2 is apparently the strongest Chinese model, and it'll be open this is quite a jump on CritPt. They have *finally* started to build general reasoners. I think it'll be very competitive on ARC-AGI 2 and WeirdML, too
@zephyr_z9RT @teortaxesTex: GLM 5.2 is apparently the strongest Chinese model, and it'll be open this is quite a jump on CritPt. They have *finally*…
@zephyr_z9Zhipu has the best post-training stack in China
@arenaGLM-5.2 (Max) by @Zai_org ranks #10 on the new Agent Arena leaderboard, closely matching Claude-Opus-4.8 (non-thinking) and is the #1 open model by a wide margin! In Agent Arena, we measure models on millions of real-world, long-horizon ag
@victormustarhuge
@adinayakupGLM 5.2 is here 🔥 ✨ 753B ( smaller than you expect? 👀) ✨ 1M context ✨ MIT license ✨ GLM IndexShare: reuses the indexer across layers, 2.9x fewer FLOPs/token at 1M ✨ AIME 2026: 99.2 (beats GPT-5.5, Gemini 3.1 Pro, Claude Opus 4.8 ✨ vLL
@sentdexZai was gracious enough to give me a key to test out GLM 5.2. I used it on a few simple tasks and quickly realized this model is on another level. I committed to using GLM 5.2 solely for the weekend and yesterday on everything from simple
@thezachmuellerRT @Zai_org: Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long…
@zephyr_z9@ChrissGPT Here
@kimmonismusLets go, GLM-5.2 released as Open Weights model. tl;dr -1M context window -MIT-licensed open weights -Stronger long-horizon coding agents -Two reasoning modes: max and high -Same API pricing as GLM-5.1 Zai says GLM-5.2 was trained specif
@andrewcurran_Extremely powerful and MIT open-source. Mutuals who had early access are giving it great reviews.
@nrehiew_It looks like GLM 5.2 is the second best long horizon model available??