Qwen 3 32B tops Qwen 3.5 blind evals

Hot take: this is less a clean "dense beats MoE" verdict and more a reminder that eval design and latency constraints can outweigh raw model scale in local workflows.

• –Qwen 3 32B leading despite partial coverage suggests real strength, but the missing 5 evals can skew the final ordering.
• –Qwen 3.5 35B-A3B is the operational standout for local users, combining near-top quality with much stronger score-per-second.
• –Qwen 3 Coder Next losing coding-heavy tasks to general models supports a broader trend that specialized labels do not always translate to better real-world debugging performance.
• –With a 41.5% invalid-judgment rate and clear judge calibration drift between generations, ranks 3 to 5 should be treated as within noise unless replicated.