DeepSeek V4 Pro vs GPT-5.4 mini

Pick GPT-5.4 mini if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.

GPT-5.4 mini finishes one point ahead on BenchLM's provisional leaderboard, 72 to 71. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.

GPT-5.4 mini's sharpest advantage is in knowledge, where it averages 57.4 against 49.4. The single biggest benchmark swing on the page is HLE, 7.7% to 41.5%.

GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro. GPT-5.4 mini 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. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.