Qwen3.5 397B vs ZAYA1-74B-Preview

Pick Qwen3.5 397B if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.

Qwen3.5 397B is clearly ahead on the provisional aggregate, 64 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen3.5 397B's sharpest advantage is in coding, where it averages 60.3 against 53.2. The single biggest benchmark swing on the page is GPQA, 88.4% to 57.3%.

Qwen3.5 397B is also the more expensive model on tokens at $0.60 input / $3.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for ZAYA1-74B-Preview. That is roughly Infinityx on output cost alone. ZAYA1-74B-Preview is the reasoning model in the pair, while Qwen3.5 397B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. ZAYA1-74B-Preview gives you the larger context window at 256K, compared with 128K for Qwen3.5 397B.