Tracked as a source-level fact for technical comparison.
Source-verified model profile · 1 October 2026
GLM-5.3 Flash
GLM-5.3 Flash is an open-weight model from Z.ai focused on efficient agentic work, coding, vision and long-context tasks. This profile separates model facts, license terms, infrastructure feasibility and European data-residency questions.
OPEN WEIGHTSMITASIAEU SELF-HOSTING POSSIBLE
Direct answer
What is GLM-5.3 Flash?
GLM-5.3 Flash is a GLM-5.3 open-weight model published by Z.ai. The current profile records 320B total, 18b active/token, Publisher evaluates workloads from ~164K to 1M depending on benchmark and context management of context and Text + image → text/code. The recorded license is MIT.
Its practical focus is efficient agentic work, coding, vision and long-context tasks. Treat the exact checkpoint and revision as the deployable entity; quantization and serving layers can materially change memory, throughput and exposed features.
Official model source ↗Provider origin🇨🇳 China
RegionAsia
Parameters320B total
Active compute18B active/token
ContextPublisher evaluates workloads from ~164K to 1M depending on benchmark and context management
ModalitiesText + image → text/code
LicenseMIT
VerificationSource-verified · 2026-10-01
Architecture & capability
Publisher-documented signals.
Tracked as a source-level fact for technical comparison.
Tracked as a source-level fact for technical comparison.
Tracked as a source-level fact for technical comparison.
Tracked as a source-level fact for technical comparison.
License & commercial use
Separate downloadability from rights.
The recorded license is MIT. Open weights describe availability of parameters; they do not automatically settle commercial use, redistribution, derivative works, attribution, patent terms or a separate acceptable-use policy.
For production, retain the exact license/revision alongside the deployed checkpoint and confirm whether provider-specific conditions apply.
Technical comparison only — not legal advice.
Deployment
Hardware and runtime reality.
Datacenter / multi-GPU class despite the lower active-parameter count; total weight memory remains large.
Z.ai documents local serving with SGLang, vLLM, Transformers, KTransformers and other runtimes.
Context length, batch size, KV cache, quantization, expert routing and multimodal encoders can shift memory and throughput substantially.
EU deployment lens
Provider origin is not data residency.
EU/EEA self-hosting is technically possible when the downloadable weights, runtime and connected services are operated on infrastructure selected by the deployer.
The 🇨🇳 flag describes provider origin: China. It does not say where prompts, documents, embeddings, logs, monitoring or backups are processed.
Self-hosting does not itself establish GDPR or AI Act compliance. Map the complete data flow and the organization's legal role.
EU deployment & data-residency guide →FAQ
Common questions.
What is GLM-5.3 Flash?
GLM-5.3 Flash is an open-weight model from Z.ai focused on efficient agentic work, coding, vision and long-context tasks.
Can GLM-5.3 Flash be self-hosted?
Yes, the published weights enable independent deployment where the license permits it. Hardware feasibility depends on precision, context and serving topology.
Can GLM-5.3 Flash run in the EU?
Technically yes when the complete inference stack and connected data services are operated on EU/EEA infrastructure.
Can GLM-5.3 Flash be used commercially?
The recorded license is MIT. Review the exact official terms and any separate use policy before production.
Primary source
Verify the exact checkpoint.
The official model card remains authoritative for revision-specific architecture, files, inference settings and license links.
Z.ai · official model page ↗