DeepSeek V4 Flash vs ZAYA1-74B-Preview

Pick DeepSeek V4 Flash if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

DeepSeek V4 Flash finishes one point ahead on BenchLM's provisional leaderboard, 59 to 58. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.

DeepSeek V4 Flash's sharpest advantage is in coding, where it averages 57.1 against 53.2. The single biggest benchmark swing on the page is SWE-bench Verified, 73.7% to 53.2%. ZAYA1-74B-Preview does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

DeepSeek V4 Flash is also the more expensive model on tokens at $0.14 input / $0.28 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 DeepSeek V4 Flash 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. DeepSeek V4 Flash gives you the larger context window at 1M, compared with 256K for ZAYA1-74B-Preview.