Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Holo3-35B-A3B
100
Kimi K2.5 (Reasoning)
76
Pick Holo3-35B-A3B if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if you need the larger 128K context window or you want the stronger reasoning-first profile.
Agentic
+28.0 difference
Holo3-35B-A3B
Kimi K2.5 (Reasoning)
$null / $null
$0.6 / $3
N/A
N/A
N/A
N/A
64K
128K
Pick Holo3-35B-A3B if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if you need the larger 128K context window or you want the stronger reasoning-first profile.
Holo3-35B-A3B is clearly ahead on the provisional aggregate, 100 to 76. 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 54.6.
Kimi K2.5 (Reasoning) 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. Kimi K2.5 (Reasoning) gives you the larger context window at 128K, compared with 64K for Holo3-35B-A3B.
Holo3-35B-A3B is ahead on BenchLM's provisional leaderboard, 100 to 76.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 82.6 versus 54.6. Kimi K2.5 (Reasoning) stays close enough that the answer can still flip depending on your workload.
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