Unverified50% confidenceBenchmarkExact time
GLM-5.2 对 MTP 层(Multi-Token Prediction)的改进将投机解码的接受长度最高提升了 20%
1
Sources
50%
Confidence
Long-term
Relevance
8/26/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedZhipu released GLM-5.3, claiming its coding capability improved by 50% compared to GLM-5.2.68% similarUnverifiedAccording to RepoWise's official benchmark data, response speed is improved by approximately 20% after integration68% similarUnverifiedvLLM can improve throughput by more than 20 times compared to native inference.67% similarUnverifiedCompared to GLM 4.5, GLM 4.6 improves coding capability by 27% and reduces token consumption by 30%.66% similarUnverifiedSelf-Consistency can bring improvements of 5–20 percentage points on mathematical reasoning benchmarks such as GSM8K.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/805113API
curl https://kongchang.com/api/v1/knowledge/claims/805113MCP
get_claim(id=805113)