Expired50% confidenceOpinionExact time
In domestic mainstream large model programming capability tests, Zhipu GLM ranks first, while DeepSeek, Kimi, and MiniMax are in the second tier, and Alibaba Tongyi and Tencent Hunyuan perform slightly worse.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Codex and Claude Code Dual-Engine: A Practical Guide to AI-Powered Engineering
bilibili图灵课堂VIP6/19/2026
Related Claims
UnverifiedAmong domestic large models, GAM (Qianwen) ranks in the first tier for overall capability, while MINIMAX, Kimi, and DeepSeek are in the second tier.80% similarVerifiedIn domestic large model real-world tests, Zhipu GLM ranked in the first tier for overall capability, and DeepSeek was rated as the best value-for-money option.71% similarUnverifiedDomestic large models such as ByteDance's Doubao series, Alibaba's Qwen (Tongyi Qianwen), and DeepSeek's DeepSeek-Coder have approached or even reached the international top tier on code benchmark tests such as HumanEval and MBPP.69% similarUnverifiedThe author recommends exercising caution when using models such as MiniMax M3 and DeepSeek for complex code root-cause analysis tasks.69% similarUnverifiedThe main competitors among domestic large models include Alibaba Cloud's Qwen series, DeepSeek's DeepSeek series, Baidu's ERNIE series, and Moonshot AI's Kimi.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/44634API
curl https://kongchang.com/api/v1/knowledge/claims/44634MCP
get_claim(id=44634)