Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Holo3-35B-A3B
100
Laguna XS.2
37
Pick Holo3-35B-A3B if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you need the larger 131K context window or you want the stronger reasoning-first profile.
Agentic
+46.9 difference
Holo3-35B-A3B
Laguna XS.2
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
64K
131K
Pick Holo3-35B-A3B if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you need the larger 131K context window or you want the stronger reasoning-first profile.
Holo3-35B-A3B is clearly ahead on the provisional aggregate, 100 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Holo3-35B-A3B's sharpest advantage is in agentic, where it averages 82.6 against 35.7.
Laguna XS.2 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. Laguna XS.2 gives you the larger context window at 131K, compared with 64K for Holo3-35B-A3B.
Holo3-35B-A3B is ahead on BenchLM's provisional leaderboard, 100 to 37.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 82.6 versus 35.7. Laguna XS.2 stays close enough that the answer can still flip depending on your workload.
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