LLM
GLM-4 (0520)
GLM-4 (0520) is the upgraded GLM-4 version reported in the ChatGLM technical report, which says it rivals GPT-4 on MMLU, GSM8K, MATH, BBH, GPQA and HumanEval.
Levelmodel
ClassLLM
Parametersnot in the notes
Context128,000
Releasednot in the notes
Opennessproprietary
Runs onnot in the notes
Statusnot in the notes
Benchmark Results
vendor-reported
BFCLagents and tool use
Berkeley Function Call overallvendor-reported
81.76
04590
Score in score. Higher is better.
GPQAknowledge and reasoning
vendor-reported
39.9
050100
Score in %. Higher is better.
GSM8Kmath
vendor-reported
93.3
050100
Score in %. Higher is better.
HumanEvalcoding
vendor-reported
78.5
050100
Score in %. Higher is better.
IFEvalknowledge and reasoning
English, prompt-level strictvendor-reported
79.1
050100
Score in %. Higher is better.
MATHmath
vendor-reported
61.3
050100
Score in %. Higher is better.
MMLUknowledge and reasoning
vendor-reported
83.3
050100
Score in %. Higher is better.
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Identity
- Developer
- Z.ai (Zhipu)
- Family
- GLM
- Released
- – sources
- Weights published
- –
- Record checked
- 11 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- 128,000 tokensunverified
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- proprietary
- Licence
- Proprietary sources
- Access routes
- API
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- Pre-trained on ten trillion tokens, mostly Chinese and English, plus a small corpus in 24 languages; aligned mainly for Chinese and English
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperZ.ai (Zhipu)company, China
Z.ai (Zhipu)company, ChinaModelGLM-4 (0520)Z.ai (Zhipu), LLM
GLM-4 (0520)Z.ai (Zhipu), LLMUse CasesClinical LLM (Open Weights)HealthcareProcess Optimisation and Advanced Process ControlIndustrialTelecom Domain LLMs and BenchmarksTelecomUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Models 1
Organisations 1
Sources
- arxiv.org/abs/2406.12793 https://arxiv.org/abs/2406.12793
- arxiv.org/html/2406.12793v2 https://arxiv.org/html/2406.12793v2
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "GLM-4 (0520)", https://aurion.semai.id/models/zhipu-zai-glm-4-0520/, records of October 2026.