Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
Step 3.7 Flash
72
Verified leaderboard positions: DeepSeek V4 Pro (High) #10 · Step 3.7 Flash unranked
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. Step 3.7 Flash only becomes the better choice if you want the cheaper token bill.
Agentic
+4.1 difference
Coding
+17.5 difference
DeepSeek V4 Pro (High)
Step 3.7 Flash
$1.74 / $3.48
$0.2 / $1.15
N/A
N/A
N/A
N/A
1M
256K
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. Step 3.7 Flash 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 72. 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 coding, where it averages 73.8 against 56.3. The single biggest benchmark swing on the page is BrowseComp, 80.4% to 75.8%.
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 / $1.15 output per 1M tokens for Step 3.7 Flash. That is roughly 3.0x on output cost alone. DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 256K for Step 3.7 Flash.
DeepSeek V4 Pro (High) is ahead on BenchLM's provisional leaderboard, 83 to 72. The biggest single separator in this matchup is BrowseComp, where the scores are 80.4% and 75.8%.
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 73.8 versus 56.3. Inside this category, Terminal-Bench 2.0 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 65.9. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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