Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
88
Gemini 3.5 Flash
88
Verified leaderboard positions: DeepSeek V4 Pro (Max) #3 · Gemini 3.5 Flash #7
Treat this as a split decision. DeepSeek V4 Pro (Max) makes more sense if coding is the priority or you want the cheaper token bill; Gemini 3.5 Flash is the better fit if agentic is the priority.
Agentic
+3.2 difference
Coding
+21.4 difference
Knowledge
+8.1 difference
DeepSeek V4 Pro (Max)
Gemini 3.5 Flash
$1.74 / $3.48
$1.5 / $9
N/A
284.2 t/s
N/A
18.55s
1M
1M
Treat this as a split decision. DeepSeek V4 Pro (Max) makes more sense if coding is the priority or you want the cheaper token bill; Gemini 3.5 Flash is the better fit if agentic is the priority.
DeepSeek V4 Pro (Max) and Gemini 3.5 Flash 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.
Gemini 3.5 Flash is also the more expensive model on tokens at $1.50 input / $9.00 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro (Max). That is roughly 2.6x on output cost alone.
DeepSeek V4 Pro (Max) and Gemini 3.5 Flash are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
DeepSeek V4 Pro (Max) has the edge for knowledge tasks in this comparison, averaging 66.1 versus 58. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 75.9 versus 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Gemini 3.5 Flash has the edge for agentic tasks in this comparison, averaging 77.2 versus 74. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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