DeepSeek-V3 brings an efficiency-first open model to the frontier race
DeepSeek releases a 671B MoE model with 37B active parameters, open weights, low API prices, and unusually detailed efficiency disclosures.
CURATED TIMELINE · EDITORIAL EDITION
Follow the market’s shifts from bilingual chat models and hyperscaler-backed open families to sparse MoE efficiency, controllable reasoning, and long-context products across ChatGLM, Qwen, DeepSeek, and Kimi.
Timeline overview
Editorial thread
Reviewed event briefs and original editorial context, ordered to show how the story changed over time.
DeepSeek releases a 671B MoE model with 37B active parameters, open weights, low API prices, and unusually detailed efficiency disclosures.
Qwen2.5 spans small local models through a 72B flagship, with stronger instruction following and specialist code and math editions.
DeepSeek releases a 236B mixture-of-experts model that combines sparse activation with latent attention to cut training and inference costs.
ChatGLM3 adds native function calling and code execution to a compact 6B model, shifting the ChatGLM line from conversation toward agent-like workflows.
Alibaba Cloud releases Qwen as a multilingual open-weight foundation-model family, giving developers a major China-built alternative across model sizes.
Zhipu AI releases a 130-billion-parameter dialogue model built for Chinese and English, establishing the first generation of the ChatGLM line.