I Tested DeepSeek vs Qwen vs Kimi vs GLM — Here's the Winner
So here's what happened: i Tested DeepSeek vs Qwen vs Kimi vs GLM — Here's the Winner Okay, so I've been on this absolute rabbit hole for the past few weeks, and I have to share what I've found. You know how everyone's been talking about GPT-4o and Claude, but there's this whole other universe of Chinese AI models that are honestly punching way above their weight? Yeah, I went deep into it. Let…
The report details the author's experience in comparing four Chinese AI models - DeepSeek, Qwen, Kimi, and GLM - through Global API's unified endpoint. They were initially skeptical about Chinese models' quality, but a friend's story led them to test these models. The author found that China's AI scene has grown significantly in recent years, with four major players each having unique strengths.
The TL;DR (short version) is that DeepSeek V4 Flash is the best value for price-to-performance at $0.25 per million output tokens, while Qwen offers a wide range of models from $0.01 to $3.20 per million, Kimi excels in reasoning tasks but at a higher cost of $3.00-$3.50 per million, and GLM is the top performer for Chinese-language tasks at $1.92 per million. All four models are OpenAI-compatible, requiring only a change in model name and base URL to switch between them.
The author provides a code snippet using the OpenAI SDK, demonstrating how easy it is to test different models. DeepSeek, developed by High-Flyer (幻方), performed exceptionally well with its V4 Flash model at a competitive price. The author highlights its impressive pricing, coding capabilities, speed, and transparent research background. However, it lacks vision capabilities and has fewer model sizes compared to Qwen.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
