Unverified50% confidenceBenchmarkExact time
The research team conducted extensive evaluations using multiple agent frameworks on both proprietary models and open-weight models; state-of-the-art models such as GLM-5.2 and Claude-Sonnet-4.6 achieved only slightly above passing performance.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
Unverified大模型第一阶段的评测涌现了OpenCompass、Evascope等工具及GSM8K等标准数据集71% similarUnverifiedGLM-5.2's performance in CatPaw is essentially consistent with the official version, and real-world testing of writing complex project modules proves the model's capabilities are solid and genuinely usable.69% similarUnverifiedThe Supabase team conducted a comparative experiment using the Claude Sonnet 4.6 model, testing the task of creating a SQL view on a table with RLS enabled67% similarUnverified建议团队从MLFlow起步进行实验追踪和模型注册标准化,作为投入产出比最高的第一步66% similarUnverifiedThe research team evaluated the framework through two pathways: quantitative NLP metric analysis and a human study involving five participants65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/894677API
curl https://kongchang.com/api/v1/knowledge/claims/894677MCP
get_claim(id=894677)