Expired50% confidenceBenchmarkExact time
In a blind test of real-world workflows involving 270 interdisciplinary experts, the Hunyuan model scored 2.67/4, outperforming the GLM series' score of 2.51/4.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/8/2026
First Seen
Valid until: 10/6/2026(expired)
Sources
Related Claims
UnverifiedAccording to benchmark data published by Zhipu, GLM 5.2 trails only Anthropic's Claude 4.8 and certain top-tier OpenAI models across multiple benchmarks, firmly placing it in the industry's second tier.66% similarUnverified模型在标准化评测基准(如HumanEval、MMLU)上的高分表现与真实工作场景中的可靠性之间存在显著差距65% similarUnverifiedA meta-analysis by Schmidt & Hunter (1998) found that general cognitive ability tests have a predictive validity of r=0.51, while work sample tests reach r=0.5463% similarUnverifiedCompared to GLM 4.5, GLM 4.6 improves coding capability by 27% and reduces token consumption by 30%.62% similarUnverifiedDomestic models such as GLM5.1 have achieved scores on standard programming benchmarks like HumanEval and MBPP that are close to or even surpass some international competitors.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/291495API
curl https://kongchang.com/api/v1/knowledge/claims/291495MCP
get_claim(id=291495)