Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
80
Gemini 3.5 Flash
81
Verified leaderboard positions: DeepSeek V4 Pro (Max) #10 · Gemini 3.5 Flash #9
Pick Gemini 3.5 Flash if you want the stronger benchmark profile. DeepSeek V4 Pro (Max) only becomes the better choice if coding is the priority or you want the cheaper token bill.
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
Pick Gemini 3.5 Flash if you want the stronger benchmark profile. DeepSeek V4 Pro (Max) only becomes the better choice if coding is the priority or you want the cheaper token bill.
Gemini 3.5 Flash finishes one point ahead on BenchLM's provisional leaderboard, 81 to 80. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Gemini 3.5 Flash's sharpest advantage is in agentic, where it averages 77.2 against 74. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 67.9% to 76.2%. DeepSeek V4 Pro (Max) does hit back in coding, so the answer changes if that is the part of the workload you care about most.
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.
Gemini 3.5 Flash is ahead on BenchLM's provisional leaderboard, 81 to 80. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 67.9% and 76.2%.
DeepSeek V4 Pro (Max) has the edge for knowledge tasks in this comparison, averaging 66.1 versus 58. Inside this category, AA-Omniscience Hallucination Rate 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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