Unverified50% confidenceFactExact time
GLM-Legal is said to have made specialized optimizations in legal corpus, reasoning chains, and output format.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedThe design of GLM-Legal enables the model to proactively retrieve legal provisions, query case law, and call calculation tools to estimate compensation amounts during reasoning.78% similarUnverifiedGLM has built its own inference infrastructure.71% similarUnverifiedArchitecture-level optimizations (such as GQA) and inference-time optimizations (such as low-rank approximation and quantization) are orthogonal and can be used in combination.70% similarUnverifiedGLM 5.2 was jointly developed by Tsinghua University and Zhipu AI, with specialized optimization for code generation and tool-calling scenarios.69% similarUnverifiedWhen comparing inference costs between GLM 5.3 and other models, activated parameter scale and throughput efficiency are more critical than total parameter count.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1007962API
curl https://kongchang.com/api/v1/knowledge/claims/1007962MCP
get_claim(id=1007962)