Evidence checked September 22, 2026: Z.ai publishes GLM-5.2 weights under an MIT license. The Hugging Face card sets
new_versiontozai-org/GLM-5.3-BF16. GLM-5.2 is not the latest card in that series. This page did not download the weights or reproduce the vendor scores.
Start with the artifact, not a region story
The GLM-5 repository download table, read the same day, lists GLM-5.2 as 744B-A40B in BF16, with a separate GLM-5.2-FP8 row at the same size. GLM-5.3 and GLM-5.3-BF16 are also 744B-A40B. The README says GLM-5.3 uses the same base model as GLM-5.2 and that its gains come from post-training. A vendor sentence on that page claims a 50% improvement over GLM-5.2 on an in-house Z.ai Code Bench. That is the vendor’s comparison, not a result from this site.
The model card calls the license “pure open” and says there are no regional limits on technical access. Read that as the license statement. It does not prove that every hosted API account, in every operating region, can call a GLM-5.2 endpoint today. For a hosted API, still verify availability, the account’s model identifier, the current price and the data-handling terms. Open weights do not establish that your existing hardware can serve a 744B-A40B model. This repository check found no measured VRAM requirement to quote.
Treat the README scores as the vendor’s setup
The same README reports GLM-5.2 at 81.0 on Terminal-Bench 2.1 against 62.0 for GLM-5.1, and 62.1 on SWE-bench Pro against 58.4 for GLM-5.1. It places Claude Opus 4.8 at 85.0 on that Terminal-Bench 2.1 comparison. These numbers describe the vendor’s published setup. They do not predict the accepted-change rate in your repository, and this site did not rerun them.
The card also claims a 1M-token context, an IndexShare design that reduces per-token FLOPs by 2.9× at that length, and an MTP change that increases speculative-decoding acceptance length by up to 20%. Record those as claims to test. Do not enter them as measured savings until your serving stack shows them.
Match the serving path the repository documents
For GLM-5.2 and other pre-5.3-Flash models, the README points to SGLang, vLLM, Transformers, KTransformers and Unsloth cookbooks, plus Ascend NPU notes. It says GLM-5.2 accepts only high and max for reasoning_effort, defaults to max, and uses the same fallback when another value is passed. Keep the effort level in the run log. A benchmark row that used max is not comparable to a run that used high.
This site did not start those servers. If you serve the weights yourself, pin the model revision from the card and the runtime version from the cookbook you actually follow. If you use a hosted endpoint, record that endpoint’s model identifier. The two are not interchangeable just because both say GLM.
Check the MonkeyCode integration separately
The MonkeyCode README lists GLM among integrated model families, and product notes say models can be switched per task. That is a family claim. It is not proof that GLM-5.2 is enabled in every hosted plan or desktop configuration.
The admin source at monkeyai/admin/src/lib/model-utils.ts only matches glm, zhipu, chatglm or 智谱 to choose an icon. An icon rule is not a model catalog and not an enabled route. Verify the model identifier in the edition you selected before making a compatibility claim.
Use the same bug, test and documentation tasks, with the same tools and acceptance checks, for every candidate. Keep rejected attempts and manual fixes. The first task and recording templates are a starting point, not a blind ranking.
Frequently asked questions
Is GLM-5.2 the latest GLM release?
No. The Hugging Face card checked on September 22, 2026 sets new_version to zai-org/GLM-5.3-BF16. The GLM-5 README says GLM-5.3 uses the same base model as GLM-5.2 and that its gains come from post-training.
Do the published benchmark scores predict our repository?
No. Terminal-Bench 2.1 and SWE-bench Pro figures on the GLM-5 README are vendor-reported. This site did not reproduce them. Use the same tasks, tools and acceptance checks on your own repository.
Does MonkeyCode listing GLM mean GLM-5.2 is enabled?
No. The README lists the GLM family among integrated models. The admin icon matcher only looks for the strings glm, zhipu, chatglm or 智谱. Verify the model route in the edition you selected.