An individual developer benchmarked 15 AI language models using Global API infrastructure to evaluate their speed (time to first token and tokens per second) and cost per million tokens. The goal was to identify models suitable for real-time chat apps and other AI-powered applications where latency critically impacts user retention. The developer found that models like DeepSeek V4 Flash offer a good balance of speed, quality, and cost for main products, while Qwen3-8B provides a very low-cost option for simpler use cases. The study also highlighted the importance of geographic server location on latency and shared practical streaming code examples for implementation.

Jun 2, 2026, 6:30 PM