Levelmodel
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released19 Jan 2026
Opennessunknown
Runs onnot in the notes
Statusactive
Benchmark Results
maintainer-run
SEA-HELMSoutheast Asian and Indonesian
maintainer-run
67.89 95% CI [-1.32, +1.27]
04080
Score in score. Higher is better.
rank 10, SEA-HELM Indonesian, open-weight models, average of 2,000 bootstraps
Checkpoint GLM-4.7-Flash as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
53.76 95% CI [-0.57, +0.57]
04080
Score in score. Higher is better.
SEA-HELM leaderboard, 58 models, SEA average
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
- not in the notes
- Released
- 19 Jan 2026 sourcesregistry date
- Weights published
- –
- Record checked
- 10 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
- not in the notes
- 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
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
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
- measured on a benchmark
- SEA-HELM Indonesian leaderboard (ID aggregate, first score column of the Indonesian Competency and Task Scores table): 67.89 (95% CI -1.32 to +1.27), run by AI Singapore (SEA-HELM leaderboard maintainer) leaderboard.sea-lion.ai
- Regional languages
- not in the notes
- Jakarta hosting
- in-region Jakarta (Amazon Bedrock (ap-southeast-3 Jakarta))
- Languages
- not in the notes
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 4.7 FlashZ.ai (Zhipu), LLM
GLM 4.7 FlashZ.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.Organisations 1
Sources
- SEA-HELM Leaderboard leaderboard.sea-lion.ai https://leaderboard.sea-lion.ai/detailed/ID
- huggingface.co/zai-org/GLM-4.7-Flash https://huggingface.co/zai-org/GLM-4.7-Flash
- docs.aws.amazon.com/bedrock/latest/userguide/models-region-compat... https://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.md
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "GLM 4.7 Flash", https://aurion.semai.id/models/zhipu-zai-glm-4-7-flash/, records of October 2026.