A data scientist conducted a 30-day benchmark testing 2,400 prompts across four Chinese LLM families (DeepSeek, Qwen, Kimi, GLM) using Global API's unified endpoint. The evaluation covered six task categories including code generation, Chinese and English QA, reasoning, creative writing, math, and vision. Key findings include DeepSeek V4 Flash offering the best cost-to-quality ratio with fastest speed and top code generation accuracy, Qwen providing the most versatile model lineup with broad task coverage, Kimi excelling in premium reasoning tasks but at high cost and slower speed, and GLM being the best choice for Chinese-heavy workloads and cheap preprocessing. The study revealed weak correlation between price and quality, emphasizing specialization over raw quality. The author migrated 70% of daily traffic to DeepSeek V4 Flash, reducing API costs significantly without quality loss.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.