DeepSeek V4 Flash vs Step 3.7 Flash

Pick Step 3.7 Flash if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if coding is the priority or you want the cheaper token bill.

Step 3.7 Flash is clearly ahead on the provisional aggregate, 72 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Step 3.7 Flash's sharpest advantage is in agentic, where it averages 65.9 against 49.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 49.1% to 59.5%. DeepSeek V4 Flash does hit back in coding, so the answer changes if that is the part of the workload you care about most.

Step 3.7 Flash is also the more expensive model on tokens at $0.20 input / $1.15 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 4.1x on output cost alone. Step 3.7 Flash 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 Step 3.7 Flash.