Qwen3.5 397B vs ZAYA1-8B

Pick Qwen3.5 397B if you want the stronger benchmark profile. ZAYA1-8B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Qwen3.5 397B has the cleaner provisional overall profile here, landing at 64 versus 62. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Qwen3.5 397B's sharpest advantage is in instruction following, where it averages 92.6 against 74. The single biggest benchmark swing on the page is GPQA, 88.4% to 71%. ZAYA1-8B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

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 ZAYA1-8B. That is roughly Infinityx on output cost alone. ZAYA1-8B 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. ZAYA1-8B gives you the larger context window at 131K, compared with 128K for Qwen3.5 397B.