Claude Opus 4.5 vs DeepSeek V4 Pro (Max)

Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. Claude Opus 4.5 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.

DeepSeek V4 Pro (Max) is clearly ahead on the provisional aggregate, 87 to 78. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

DeepSeek V4 Pro (Max)'s sharpest advantage is in agentic, where it averages 74 against 62.5. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59.3% to 67.9%. Claude Opus 4.5 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Claude Opus 4.5 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro (Max). That is roughly 7.2x on output cost alone. DeepSeek V4 Pro (Max) is the reasoning model in the pair, while Claude Opus 4.5 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 Pro (Max) gives you the larger context window at 1M, compared with 200K for Claude Opus 4.5.