Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
68
Qwen3.5-35B-A3B
60
Verified leaderboard positions: Claude Sonnet 4.5 unranked · Qwen3.5-35B-A3B #9
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Agentic
+4.7 difference
Coding
+8.0 difference
Reasoning
+45.4 difference
Knowledge
+4.1 difference
Claude Sonnet 4.5
Qwen3.5-35B-A3B
$3 / $15
$0 / $0
N/A
N/A
N/A
N/A
200K
262K
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Claude Sonnet 4.5 is clearly ahead on the provisional aggregate, 68 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.5's sharpest advantage is in coding, where it averages 77.2 against 69.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50% to 40.5%. Qwen3.5-35B-A3B does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-35B-A3B. That is roughly Infinityx on output cost alone. Qwen3.5-35B-A3B is the reasoning model in the pair, while Claude Sonnet 4.5 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. Qwen3.5-35B-A3B gives you the larger context window at 262K, compared with 200K for Claude Sonnet 4.5.
Claude Sonnet 4.5 is ahead on BenchLM's provisional leaderboard, 68 to 60. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50% and 40.5%.
Claude Sonnet 4.5 has the edge for knowledge tasks in this comparison, averaging 83.4 versus 79.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for coding in this comparison, averaging 77.2 versus 69.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for reasoning in this comparison, averaging 59 versus 13.6. Claude Sonnet 4.5 stays close enough that the answer can still flip depending on your workload.
Claude Sonnet 4.5 has the edge for agentic tasks in this comparison, averaging 55.3 versus 50.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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