Reviewers see Qwen3 as a fast, lightweight model that often feels close in quality to bigger, pricier options, especially for everyday work, prototyping, and simple code or website generation. Users praise its practical speed and solid responses, though one asks for better editing history, UX, and edge-case handling without extra prompting. Founder feedback is similarly positive: the makers of
JDoodle.ai say it powers an agent, while others highlight strong small-model reasoning, on-device use, creativity, and formatting or image-to-text tasks.
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!