Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
GPT-4.1
59
Verified leaderboard positions: DeepSeek V4 Flash #23 · GPT-4.1 unranked
Treat this as a split decision. DeepSeek V4 Flash makes more sense if coding is the priority or you want the cheaper token bill; GPT-4.1 is the better fit if knowledge is the priority.
Coding
+2.5 difference
Knowledge
+21.1 difference
DeepSeek V4 Flash
GPT-4.1
$0.14 / $0.28
$2 / $8
N/A
108 t/s
N/A
1.02s
1M
1M
Treat this as a split decision. DeepSeek V4 Flash makes more sense if coding is the priority or you want the cheaper token bill; GPT-4.1 is the better fit if knowledge is the priority.
DeepSeek V4 Flash and GPT-4.1 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 28.6x on output cost alone.
DeepSeek V4 Flash and GPT-4.1 are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 66.3 versus 45.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash has the edge for coding in this comparison, averaging 57.1 versus 54.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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