Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
GPT-5.4 nano
61
Verified leaderboard positions: DeepSeek V4 Pro (High) #6 · GPT-5.4 nano unranked
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if you want the cheaper token bill.
Agentic
+27.1 difference
Knowledge
+9.4 difference
DeepSeek V4 Pro (High)
GPT-5.4 nano
$1.74 / $3.48
$0.2 / $1.25
N/A
191 t/s
N/A
3.64s
1M
400K
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if you want the cheaper token bill.
DeepSeek V4 Pro (High) is clearly ahead on the provisional aggregate, 83 to 61. 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 agentic, where it averages 70 against 42.9. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63.3% to 46.3%.
DeepSeek V4 Pro (High) is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.20 input / $1.25 output per 1M tokens for GPT-5.4 nano. That is roughly 2.8x on output cost alone. DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 400K for GPT-5.4 nano.
DeepSeek V4 Pro (High) is ahead on BenchLM's provisional leaderboard, 83 to 61. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63.3% and 46.3%.
DeepSeek V4 Pro (High) has the edge for knowledge tasks in this comparison, averaging 62.6 versus 53.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (High) has the edge for agentic tasks in this comparison, averaging 70 versus 42.9. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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