Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (Max)
77
Holo3-35B-A3B
75
Verified leaderboard positions: DeepSeek V4 Flash (Max) #12 · Holo3-35B-A3B unranked
Pick DeepSeek V4 Flash (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
+14.5 difference
DeepSeek V4 Flash (Max)
Holo3-35B-A3B
$0.14 / $0.28
$null / $null
N/A
N/A
N/A
N/A
1M
64K
Pick DeepSeek V4 Flash (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 Flash (Max) has the cleaner provisional overall profile here, landing at 77 versus 75. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V4 Flash (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 Flash (Max) gives you the larger context window at 1M, compared with 64K for Holo3-35B-A3B.
DeepSeek V4 Flash (Max) is ahead on BenchLM's provisional leaderboard, 77 to 75.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 77.8 versus 63.3. DeepSeek V4 Flash (Max) stays close enough that the answer can still flip depending on your workload.
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