GLM-5.3

Z.ai · released Oct 6, 2026

UnknownCN

Openness taxonomy

access, licence, and disclosure — never a single open/closed binary

Weights availability: unknown
Licence: unknown
Licence category: unknown
Commercial use allowed: unknown
Derivatives allowed: unknown
Redistribution allowed: unknown
Field-of-use restrictions: unknown
Training code availability: unknown
Inference code availability: unknown
Architecture disclosure: unknown
Training data disclosure: unknown

Deployability

raw values as extracted — free text, never inferred from branding

Self-hosting: unknown
On-premise: unknown
Edge deployability: unknown
API availability: Available through Amazon Bedrock
Regions available: unknown

Benchmarks

as reported — vendor-supplied unless otherwise noted

No benchmark data on this release yet.

National-security pathway & evidence

from the assessed source item, when one is linked

Impact: mediumConfidence: mediumNat-sec: indirectindependent reporting

Domains: tech_sovereignty

Pathway: Making a Chinese-developed model available through a major cloud marketplace could broaden enterprise access beyond direct deployment channels.

Evidence limitations: The supplied report does not quantify usage, revenue, regions, or customer adoption, and provides no independent confirmation of the commercial terms.

Z.ai takes GLM-5.3 global through Amazon Bedrock's enterprise channel

Linked research papers

from paper_model_links

Code Monitor Red Teaming for Public-Test-Passing Codeevaluates · 95% confidence
Who Verifies the Benchmark? Decentralizing Trust in Large Language Model Evaluationevaluates · 98% confidence
PILOT in the Loop: Live Self-Improvement for Long-Horizon Agentsevaluates · 98% confidence
How Narrative Wrapping Affects LLM Refusal: A Cross-Language Benchmark and Defenseevaluates · 100% confidence