Kimi K2.5 vs ZAYA1-8B

Pick Kimi K2.5 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.

Kimi K2.5 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.

Kimi K2.5's sharpest advantage is in instruction following, where it averages 93.9 against 74. The single biggest benchmark swing on the page is GPQA, 87.6% 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.

Kimi K2.5 is also the more expensive model on tokens at $0.60 input / $3.00 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 Kimi K2.5 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. Kimi K2.5 gives you the larger context window at 256K, compared with 131K for ZAYA1-8B.