Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Holo3-122B-A10B
74
Qwen3.6 Plus
73
Verified leaderboard positions: Holo3-122B-A10B unranked · Qwen3.6 Plus #12
Pick Holo3-122B-A10B if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if you need the larger 1M context window or you want the stronger reasoning-first profile.
Agentic
+17.3 difference
Holo3-122B-A10B
Qwen3.6 Plus
$null / $null
$null / $null
N/A
N/A
N/A
N/A
64K
1M
Pick Holo3-122B-A10B if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if you need the larger 1M context window or you want the stronger reasoning-first profile.
Holo3-122B-A10B finishes one point ahead on BenchLM's provisional leaderboard, 74 to 73. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Holo3-122B-A10B's sharpest advantage is in agentic, where it averages 78.9 against 61.6.
Qwen3.6 Plus 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. Qwen3.6 Plus gives you the larger context window at 1M, compared with 64K for Holo3-122B-A10B.
Holo3-122B-A10B is ahead on BenchLM's provisional leaderboard, 74 to 73.
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 61.6. Qwen3.6 Plus stays close enough that the answer can still flip depending on your workload.
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