Qwen 3.8 MAX, Kimi K3, & DeepSeek V4 Pro: Open Model - Beginner Guide
What happened
Alibaba's Qwen 3.8 MAX, with 2.4 trillion parameters, is scheduled for open-weight release next week, positioning itself against models like Kimi K3 and DeepSeek V4 Pro for agent activities. The model claims to outperform GPT-5.6 Sol Max and Fable 5 in agentic computer use, intensifying competition in the open-weight model space.
Why it matters
AI Engineers evaluating frontier open-weight models for agentic workflows should assess Qwen 3.8 Max's compelling performance in coding, research, and design tasks against its deployment infrastructure and API costs, especially given its competitive positioning against top closed models.
Topics
- Qwen 3.8 MAX
- Large Language Models
- Model Benchmarking
- Open-weight Models
Articles in this trend
- Qwen 3.8 MAX, Kimi K3, & DeepSeek V4 Pro: Open Model - Beginner Guide — MLearning.ai Art
- [AINews] Qwen 3.8 Max(2.4T) and 27B, new open weights models for Coding and Cowork — Latent.Space - Www.latent.space
- Qwen3.8-Max Test | Better than Kimi K3? | Coding, Frontend, Backend and Agentic Work — Venelin Valkov
- Qwen3.8-Max arrives with a bold claim: it outperforms GPT-5.6 Sol Max and Fable 5 on agentic computer use — VentureBeat
- Open-source is WINNING — Matthew Berman