Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Qwen3.5-122B-A10B
64
Qwen3.6-35B-A3B
66
Verified leaderboard positions: Qwen3.5-122B-A10B #11 · Qwen3.6-35B-A3B #23
Pick Qwen3.6-35B-A3B if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if knowledge is the priority.
Agentic
+4.6 difference
Coding
+5.1 difference
Knowledge
+21.1 difference
Multimodal
+1.1 difference
Qwen3.5-122B-A10B
Qwen3.6-35B-A3B
$0 / $0
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262K
262K
Pick Qwen3.6-35B-A3B if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if knowledge is the priority.
Qwen3.6-35B-A3B has the cleaner provisional overall profile here, landing at 66 versus 64. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3.6-35B-A3B is ahead on BenchLM's provisional leaderboard, 66 to 64. The biggest single separator in this matchup is SuperGPQA, where the scores are 67.1% and 64.7%.
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 60.5. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 66.9. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for agentic tasks in this comparison, averaging 56.1 versus 51.5. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 77.2 versus 76.1. Inside this category, MMMU is the benchmark that creates the most daylight between them.
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