DeepSeek V4 Pro vs LongCat-2.0

Pick LongCat-2.0 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.

LongCat-2.0 is clearly ahead on the provisional aggregate, 80 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

LongCat-2.0's sharpest advantage is in agentic, where it averages 70.8 against 59.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59.1% to 70.8%.

DeepSeek V4 Pro is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.75 input / $2.95 output per 1M tokens for LongCat-2.0. LongCat-2.0 is the reasoning model in the pair, while DeepSeek V4 Pro 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.