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Qwen3.8-Max is a 2.4T-parameter model announced 2026-08-03; Alibaba says its open…

2026-08-03 · 04:05 UTC ·@0xDevShah ·1 min read

Brief

Qwen3.8-Max, announced 2026-08-03, is a 2.4T-parameter multimodal model whose open weights are due next week (Qwen3.8-27B is also going open). Alibaba promotes autonomous coding (10+ days self-evolving to production with a GitHub trace), long-horizon system planning (500+ chip-design turns, 365-day e‑commerce plans), continuous vision feedback, and published token pricing and access links.

Why it matters

Qwen3.8-Max is a 2.4T-parameter model announced 2026-08-03; Alibaba says its open weights will be released next week and Qwen3.8-27B will also be made open-weights.

Key details

  • Alibaba claims autonomous coding capability: '10+ days of self-evolving development, from empty folder to production' with a complete project trace on GitHub; they also claim 500+ turns of chip-design optimization, 365 days of e-commerce strategy, production-quality outputs across hundreds of professions, and continuous vision-based feedback.
  • Pricing published for Qwen3.8-Max: input $2.00 per M tokens, output $6.00 per M tokens, implicit caching $0.25 per M; official access points include Qwen Studio, the Qwen API, and the qwen.ai blog.
Source evidence

Qwen (@Alibaba_Qwen)

📢Meet Qwen3.8-Max — our most capable model to date.

Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉

Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:

  • Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：github.com/qwen-code-dev-bot…
  • Real work, real results: Production-quality deliverables across hundreds of professions.
  • Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
  • Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.

💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens

Start building with Qwen3.8-Max! 🚀

📖 Blog: qwen.ai/blog?id=qwen3.8
✅ Qwen Studio: chat.qwen.ai/?models=qwen3.8…
⚡ API: qwencloud.com/models/qwen3.8…

— https://nitter.net/Alibaba_Qwen/status/2084100707423289643#m