# API Calls İlgili Makaleler

Chinese Large Models: This Time, the Script Is Different

By early 2026, Chinese large language models (LLMs) have gained significant global traction, representing six of the top ten most-used on the AI model aggregation platform OpenRouter. This shift, led by models like Xiaomi's MiMo-V2-Pro, occurred after Chinese models' weekly token usage surpassed that of U.S. models in February 2026. A key driver is the substantial price gap: Chinese models are often 10–20 times cheaper for input and up to 60 times cheaper for output tokens than leading U.S. models like OpenAI’s GPT-5.4 and Anthropic’s Claude Opus. This cost advantage became critical with the rise of agentic applications like OpenClaw, which automate complex tasks (e.g., programming, testing) and consume tokens at a much higher volume than traditional chat interfaces. While U.S. models still lead in complex reasoning benchmarks, Chinese models have nearly closed the gap in programming tasks—evidenced by near-parity scores on the SWE-Bench coding evaluation. This enabled cost-conscious developers, especially in AI startups using open-source stacks, to adopt a "layered" approach: using Chinese models for routine tasks and reserving premium U.S. models for harder problems. Rising demand led Chinese firms like Zhipu and Tencent to increase API prices in early 2026, yet usage continued growing sharply. Analysts note that China’s cost edge stems from large-scale, efficient compute infrastructure and widespread adoption of MoE (Mixture of Experts) architecture. Unlike the low-margin electronics manufacturing analogy ("AI-era Foxconn"), Chinese LLM firms are demonstrating pricing power and rapid technical advancement, suggesting a different trajectory from traditional assembly-line roles.

marsbit04/07 11:00