I asked Kimi to search Chinese language sources for which Chinese models are best at coding and Kimi thinks Doubao is comparable to Kimi and DeepSeek on benchmarks but Chinese developers usually prefer DeepSeek for backend work. Doubao has an advantage for frontend/UI
I’m not confident Kimi is correct here, would appreciate Chinese native speakers with better understanding of the Chinese internet to redo this search/check Kimi’s work. (I can sort of read Chinese but it’s difficult/high-effort for me)
I do think the commercial wide availability of Doubao is impressive and I’ll be curious if they’ve managed to substantially drive inference costs down, or if they are just paying more.
Kimi summary
Chinese developer communities (CSDN, Juejin) consistently rank DeepSeek as the generalist coding champion for backend/logic tasks, but acknowledge specific weaknesses.
The Verdict From Chinese Tech Media
The consensus on Chinese developer forums (CSDN, Juejin, 36Kr) :
Choose DeepSeek if: You’re doing backend development, algorithmic challenges, data modeling, or need the absolute cheapest API costs
Choose Kimi if: You’re processing massive codebases (200K+ context) or academic papers with code
Choose Doubao if: You’re doing frontend/UI work (unbeatable visual coding), need multimodal integration, or want the Trae IDE ecosystem
Bottom line: On pure SWE-Bench, it’s essentially a three-way tie (76.8% vs 78.8% vs 73.1%), but Doubao’s visual coding capabilities and Trae integration create a significant real-world advantage for frontend developers that Western benchmarks—focused on text-based GitHub issue resolution—fail to capture.
I asked Kimi to search Chinese language sources for which Chinese models are best at coding and Kimi thinks Doubao is comparable to Kimi and DeepSeek on benchmarks but Chinese developers usually prefer DeepSeek for backend work. Doubao has an advantage for frontend/UI
I’m not confident Kimi is correct here, would appreciate Chinese native speakers with better understanding of the Chinese internet to redo this search/check Kimi’s work. (I can sort of read Chinese but it’s difficult/high-effort for me)
I do think the commercial wide availability of Doubao is impressive and I’ll be curious if they’ve managed to substantially drive inference costs down, or if they are just paying more.
Kimi summary
Chinese developer communities (CSDN, Juejin) consistently rank DeepSeek as the generalist coding champion for backend/logic tasks, but acknowledge specific weaknesses.
The Verdict From Chinese Tech Media
The consensus on Chinese developer forums (CSDN, Juejin, 36Kr)
:
Choose DeepSeek if: You’re doing backend development, algorithmic challenges, data modeling, or need the absolute cheapest API costs
Choose Kimi if: You’re processing massive codebases (200K+ context) or academic papers with code
Choose Doubao if: You’re doing frontend/UI work (unbeatable visual coding), need multimodal integration, or want the Trae IDE ecosystem
Bottom line: On pure SWE-Bench, it’s essentially a three-way tie (76.8% vs 78.8% vs 73.1%), but Doubao’s visual coding capabilities and Trae integration create a significant real-world advantage for frontend developers that Western benchmarks—focused on text-based GitHub issue resolution—fail to capture.