Qwen3.8-Max is Qwen’s most capable model to date, a 2.4T-parameter MoE with 95B active parameters, 1M context, and multimodal agent capabilities for coding, research, cowork, and long-horizon tasks.
Reviewers see Qwen3 as a practical, fast model that holds up well for everyday work, especially coding, prototyping, and lightweight generation. Users say it is quicker and cheaper than some alternatives while often delivering similar quality, and one notes it helps when other AI tools fall short technically. Founder feedback is similarly positive but narrower: makers of Vamah.ai use it in a multi-model agent setup, while founders of Knowlify and Juno highlight creativity and strong formatting or context-aware transformations.
Qwen3.8-Max is @Qwen3’s most capable model to date, built around coding, cowork, and long-running agent tasks.
One of the tests ran for 16 days straight. Qwen3.8-Max started with an empty repo, built a coding harness, and kept working on it as new issues, feedback, and test results came in. The final repo had 265 commits, 127 PRs, and 151 issues.
It is a 2.4T-parameter MoE with 95B active parameters and a 1M context window. It already works with the major harnesses you use.
I’ve been using Qwen for building a simple code and website generator, and it works really well for fast iterations. Great for prototyping and lightweight generation.
What needs improvement
I need more on the history pages, a section when we can re-edit the input/process/output with easy UX. Basically, better handling of edge cases without extra prompting
vs Alternatives
I choose Qwen because it’s fast, lightweight, and great for turning ideas into simple, working code or websites. It was also the first web-based tool I explored for code generation, which made it easy to start prototyping right away.
Great launch! Qwen has been incredibly useful, especially when I reach a point where other AI services can no longer technically deliver what I need. I’m also excited to see it matching the “big players” in benchmark results. 2026 is shaping up to be very interesting.
I’ve been trying Qwen alongside GPT-4o, and honestly it feels great — it’s noticeably faster and cheaper, yet most of the time the answer quality is hard to tell apart. For quick everyday tasks, I barely notice any trade-offs, which makes it a super practical choice.
Flowtica Scribe
Hi everyone!
Qwen3.8-Max is @Qwen3’s most capable model to date, built around coding, cowork, and long-running agent tasks.
One of the tests ran for 16 days straight. Qwen3.8-Max started with an empty repo, built a coding harness, and kept working on it as new issues, feedback, and test results came in. The final repo had 265 commits, 127 PRs, and 151 issues.
It is a 2.4T-parameter MoE with 95B active parameters and a 1M context window. It already works with the major harnesses you use.
The API is live now on QwenCloud.
Open weights arrive next week. This will be the largest open-weight release in Qwen’s history!
DiffSense
@zaczuo Very cool: https://github.com/qwen-code-dev-bot/oh-my-cli (the 16 day project)
Parallel AI