Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
GPT-4.1 mini
46
Verified leaderboard positions: DeepSeek V4 Pro (High) #6 · GPT-4.1 mini unranked
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+50.2 difference
Knowledge
+1.6 difference
DeepSeek V4 Pro (High)
GPT-4.1 mini
$1.74 / $3.48
$0.4 / $1.6
N/A
80 t/s
N/A
0.76s
1M
1M
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
DeepSeek V4 Pro (High) is clearly ahead on the provisional aggregate, 83 to 46. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (High)'s sharpest advantage is in coding, where it averages 73.8 against 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 79.4% to 23.6%. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
DeepSeek V4 Pro (High) is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 2.2x on output cost alone. DeepSeek V4 Pro (High) is the reasoning model in the pair, while GPT-4.1 mini 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 (High) is ahead on BenchLM's provisional leaderboard, 83 to 46. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 79.4% and 23.6%.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 64.2 versus 62.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 73.8 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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