Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
87
Holo3-35B-A3B
75
Verified leaderboard positions: DeepSeek V4 Pro (Max) #2 · Holo3-35B-A3B unranked
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. Holo3-35B-A3B only becomes the better choice if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+3.8 difference
DeepSeek V4 Pro (Max)
Holo3-35B-A3B
$1.74 / $3.48
$null / $null
N/A
N/A
N/A
N/A
1M
64K
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. Holo3-35B-A3B only becomes the better choice if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
DeepSeek V4 Pro (Max) is clearly ahead on the provisional aggregate, 87 to 75. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (Max) is the reasoning model in the pair, while Holo3-35B-A3B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Pro (Max) gives you the larger context window at 1M, compared with 64K for Holo3-35B-A3B.
DeepSeek V4 Pro (Max) is ahead on BenchLM's provisional leaderboard, 87 to 75.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 77.8 versus 74. DeepSeek V4 Pro (Max) stays close enough that the answer can still flip depending on your workload.
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