A data scientist conducted a rigorous three-week evaluation of four Chinese AI model families—DeepSeek, Qwen, Kimi, and GLM—using 480 prompts across diverse categories. The study measured latency, cost per million tokens, pass rates on coding and reasoning tasks, and subjective quality scores. The findings revealed that cheaper models like DeepSeek V4 Flash ($0.25/M tokens) deliver near-flagship quality at a fraction of the cost, while Kimi K2.5 ($3.00/M) excels in complex reasoning tasks. Qwen models uniquely support full multimodal inputs including video and audio. The researcher implemented a production traffic routing system via Global API's unified OpenAI-compatible endpoint, dynamically selecting models per task type to optimize cost and quality. This approach achieved approximately 55x cost reduction compared to GPT-4o-only stacks without quality regression for most use cases.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.