DeepSeek V4 Flash vs Gemma 4 31B

Pick Gemma 4 31B if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if coding is the priority or you need the larger 1M context window.

Gemma 4 31B is clearly ahead on the provisional aggregate, 66 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Gemma 4 31B's sharpest advantage is in knowledge, where it averages 61.3 against 45.2. The single biggest benchmark swing on the page is HLE, 8.1% to 26.5%. DeepSeek V4 Flash does hit back in coding, 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 Gemma 4 31B. That is roughly Infinityx on output cost alone. Gemma 4 31B 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 Gemma 4 31B.