multimodal LLM
GLM-5.3-Flash
Z.ai's 320B MIT-licensed model on a new base. Adapters 3, finetunes 27, merges 4, quants 165.
Levelmodel
Classmultimodal LLM
Parameters320B
Context1,000,000
Released25 Aug 2026
Opennessopen weights permissive
Runs onmulti-GPU node
Statusactive
From the model's own page; who made each picture and where it comes from are listed on the Image Credits page.
Benchmark Results
independent
Arena Text leaderboardhuman preference arena
independent
1,475 ±5
1,2001,4001,600
Score in Elo; the axis starts at 1,200, as Elo has no zero. Higher is better.
rank 38, Arena Text overall
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).
R&D Topics
Identity
- Developer
- Z.ai (Zhipu)
- Family
- GLM
- Released
- 25 Aug 2026 sourcessecondary report
- 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
- hybrid New base model; hybrid sparse + linear attention, mHC; 30T-token multimodal pretraining corpus
- Total parameters
- 320B sources
- Active parameters
- 18B
- Checkpoint parameters
- –
- Note
- Context evaluated up to 1M
- Context length
- 1,000,000 tokens
- Input
- text, image
- 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
- open weights permissive
- Licence
- MIT License sources
- Access routes
- API, open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- multi-GPU node
- 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
- 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-5.3-FlashZ.ai (Zhipu), multimodal LLM
GLM-5.3-FlashZ.ai (Zhipu), multimodal LLMR&D TopicsEfficiency Architectures (MoE, Sparse Attention, Long Context)Open-Weight Frontier Releases as Research Substrate
Use 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
- Pricing - Overview - Z.AI DEVELOPER DOCUMENT docs.z.ai https://docs.z.ai/guides/overview/pricing
- huggingface.co/zai-org https://huggingface.co/zai-org
- Open-Source LLMs 2026: Which Are Actually Open-Licensed codersera.com https://codersera.com/blog/open-source-llms-landscape-2026/
- huggingface.co/zai-org/GLM-5.3-Flash https://huggingface.co/zai-org/GLM-5.3-Flash
- Text Arena: LLM Rankings & AI Model Benchmarks arena.ai https://arena.ai/leaderboard/chat/text
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "GLM-5.3-Flash", https://aurion.semai.id/models/zhipu-zai-glm-5-3-flash/, records of October 2026.