Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
86
Qwen3.6-35B-A3B
64
Verified leaderboard positions: Claude Sonnet 4.6 unranked · Qwen3.6-35B-A3B #13
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if coding is the priority or you need the larger 262K context window.
Agentic
+13.8 difference
Coding
+0.5 difference
Knowledge
+13.2 difference
Claude Sonnet 4.6
Qwen3.6-35B-A3B
$3 / $15
N/A
44 t/s
N/A
1.48s
N/A
200K
262K
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if coding is the priority or you need the larger 262K context window.
Claude Sonnet 4.6 is clearly ahead on the provisional aggregate, 86 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in agentic, where it averages 65.3 against 51.5. The single biggest benchmark swing on the page is SuperGPQA, 95% to 64.7%. Qwen3.6-35B-A3B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Qwen3.6-35B-A3B is the reasoning model in the pair, while Claude Sonnet 4.6 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. Qwen3.6-35B-A3B gives you the larger context window at 262K, compared with 200K for Claude Sonnet 4.6.
Claude Sonnet 4.6 is ahead on BenchLM's provisional leaderboard, 86 to 64. The biggest single separator in this matchup is SuperGPQA, where the scores are 95% and 64.7%.
Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 73.7 versus 60.5. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 66.9 versus 66.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for agentic tasks in this comparison, averaging 65.3 versus 51.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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