Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (Max)
77
GPT-5.4 mini
72
Verified leaderboard positions: DeepSeek V4 Flash (Max) #12 · GPT-5.4 mini unranked
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if agentic is the priority.
Agentic
+2.3 difference
Knowledge
+2.6 difference
DeepSeek V4 Flash (Max)
GPT-5.4 mini
$0.14 / $0.28
$0.75 / $4.5
N/A
201 t/s
N/A
3.85s
1M
400K
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if agentic is the priority.
DeepSeek V4 Flash (Max) is clearly ahead on the provisional aggregate, 77 to 72. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Flash (Max)'s sharpest advantage is in knowledge, where it averages 60 against 57.4. The single biggest benchmark swing on the page is HLE, 34.8% to 41.5%. GPT-5.4 mini does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (Max). That is roughly 16.1x on output cost alone. DeepSeek V4 Flash (Max) gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
DeepSeek V4 Flash (Max) is ahead on BenchLM's provisional leaderboard, 77 to 72. The biggest single separator in this matchup is HLE, where the scores are 34.8% and 41.5%.
DeepSeek V4 Flash (Max) has the edge for knowledge tasks in this comparison, averaging 60 versus 57.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 63.3. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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