Advertisement AdvertisementAdvertisement AdvertisementBoth models — Alibaba's Qwen3.8-Max and DeepSeek's V4-Flash — underline Chinese commitment to open-weight models as the firms seek to gain ​traction among developers globally. Many business workflows do not need the industry's very best model," said Lian Jye Su, chief analyst at research firm Omdia. The model has 2.4 trillion parameters, the numerical settings a model learns from data and uses to recognise patterns, generate answers, and carry out tasks. On Arena.AI's leaderboard for AI ‌models that analyse images and other visual material, Qwen3.8-Max ranked second globally, only behind a Claude Fable 5 variant. Artificial Analysis estimated V4-Flash's average cost at 3 cents per test, compared with 86 cents ​for Kimi K3, $1.86 for OpenAI's GPT-5.6 Sol and $3.15 for ‌Claude Fable 5.