DeepSeek V4 Flash vs o1

Treat this as a split decision. DeepSeek V4 Flash makes more sense if you want the cheaper token bill or you need the larger 1M context window; o1 is the better fit if knowledge is the priority or you want the stronger reasoning-first profile.

DeepSeek V4 Flash and o1 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.

o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 214.3x on output cost alone. o1 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 200K for o1.