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GLM-5.2

Z.ai
open weights / Overall score: 4.7(leading)

Z.ai's flagship open-weights frontier model (mid-June 2026, successor to GLM-5.1), built for long-horizon agentic and coding tasks. A sparse MoE (~753B total params) with a 1M-token context, introducing 'IndexShare' sparse attention (~2.9x FLOP cut at 1M context) and improved speculative decoding. Positioned as a leading open-weights coding model.

MIT-licensed open weights (HF model card + LICENSE, (c) Zhipu AI 2026). ~753B-param MoE, 1M context. Consolidated on 2026-07-29 from glm-4, glm-4-6, glm-4-9b, glm-5-1; openness follows glm-5-2, the release that currently governs. See docs/reference/identity.md. GLM-5.2 has pulled away sharply since July and now supplies most of the family's downloads, so the current adoption reading, set on the GLM-4 generation, undercounts where the family sits now and is flagged for review.

Openness

3 high confidence
3.0
weights
open(MIT)
data
closed
code
open(inference)
license
MIT(OSI)

GLM-5.2, the current release, ships MIT weights, but the training data is closed and no training pipeline is published. Z.ai relicensed partway through the family: GLM-4 and GLM-4-9B carried the more restrictive GLM-4 License, requiring commercial-use registration and a "Built with GLM" attribution, before GLM-4.6 and later releases moved to plain MIT.

Adoption

4 high confidence
4.0

Adoption is measured as Hugging Face downloads summed across four declared checkpoints spanning GLM-4 through GLM-5.2. GLM-5.2, the current release, accounts for nearly all of that total; the older THUDM/glm-4-9b repository now redirects to zai-org.

Capability

5 high confidence
5.0

GLM-5.3 is among the highest-scoring large open-weight models on Artificial Analysis's Intelligence Index, well ahead of GLM-5.2. Z.ai's own card puts it close to leading proprietary models on Terminal-Bench 2.1, though it trails them on DeepSWE.

Verified 2026-09-29, except some scores, still awaiting re-confirmation