Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Holo3-122B-A10B
75
Kimi K2.6
84
Verified leaderboard positions: Holo3-122B-A10B unranked · Kimi K2.6 #6
Pick Kimi K2.6 if you want the stronger benchmark profile. Holo3-122B-A10B 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
+5.8 difference
Holo3-122B-A10B
Kimi K2.6
$null / $null
$0.95 / $4
N/A
N/A
N/A
N/A
64K
256K
Pick Kimi K2.6 if you want the stronger benchmark profile. Holo3-122B-A10B 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.
Kimi K2.6 is clearly ahead on the provisional aggregate, 84 to 75. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.6 is the reasoning model in the pair, while Holo3-122B-A10B 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 K2.6 gives you the larger context window at 256K, compared with 64K for Holo3-122B-A10B.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 84 to 75. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 78.8% and 73.1%.
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 73.1. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.