GLM-5.2

GLM-5.2 👋 Join our WeChat or Discord community. 📖 Check out the GLM-5.2 blog and GLM-5 Technical report . 📍 Use GLM-5.2 API services on Z.ai API Platform. 🔜 Try GLM-5.2 here . [ Paper ] [ GitHub ] Introduction We're introducing GLM-5.2, our latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on a **solid 1M-token context**. GLM-5.2's new capabilities include: **Solid 1M Context:** A solid 1M-token context that stably sustains long-horizon work **Advanced Coding with Flexible Effort**: Stronger coding capabilities with multiple thinking effort levels to balance performance and latency **Improved Architecture**: 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 layer for speculative decoding, increasing the acceptance length by up to 20% **Pure Open**: An MIT open-source license — no regional limits, technical access without borders Benchmark |Benchmark|GLM-5.2|GLM-5.1|Qwen3.7-Max|MiniMax M3|DeepSeek-V4-Pro|Claude Opus 4.8|GPT-5.5|Gemini 3.1 Pro| |:---|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:| |Reasoning||||||||||| |HLE|40.5|31|41.4|37|37.7|49.8*|41.4*|45| |HLE (w/ Tools)|54.7|52.3|53.5|-|48.2|57.9*|52.2*|51.4*| |CritPt|20.9|4.6|13.4|3.7|12.9|20.9|27.1|17.7| |AIME 2026|99.2|95.3|97|-|94.6|95.7|98.3|98.2| |HMMT Nov. 2025|94.4|94|95|84.4|94.4|96.5|96.5|94.8| |HMMT Feb. 2026|92.5|82.6|97.1|84.4|95.2|96.7|96.7|87.3| |IMOAnswerBench|91.0|83.8|90|-|89.8|83.5|-|81| |GPQA-Diamond|91.2|86.2|90|93|90.1|93.6|93.6|94.3| |Coding||||||||||| |SWE-bench Pro|62.1|58.4|60.6|59|55.4|69.2|58.6|54.2| |NL2Repo|48.9|42.7|47.2|42.1|35.5|69.7|50.7|33.4| |DeepSWE|46.2|18|18|20|8|58|70|10| |ProgramBench|63.7|50.9|-|-|47.8|71.9|70.8|39.5| |Terminal Bench 2.1 (Terminus-2)|81.0|63.5|75|65|64| 85|84|74| |Terminal Bench 2.1 (Best R