Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1
56
Qwen3.5-35B-A3B
55
Verified leaderboard positions: GPT-4.1 unranked · Qwen3.5-35B-A3B #27
Pick GPT-4.1 if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+3.8 difference
Knowledge
+13.0 difference
Inst. Following
+4.5 difference
GPT-4.1
Qwen3.5-35B-A3B
$2 / $8
$0 / $0
108 t/s
N/A
1.02s
N/A
1M
262K
Pick GPT-4.1 if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-4.1 finishes one point ahead on BenchLM's provisional leaderboard, 56 to 55. 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.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 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 GPT-4.1 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. GPT-4.1 gives you the larger context window at 1M, compared with 262K for Qwen3.5-35B-A3B.
GPT-4.1 is ahead on BenchLM's provisional leaderboard, 56 to 55. The biggest single separator in this matchup is GPQA, where the scores are 66.3% and 84.2%.
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 79.3 versus 66.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for coding in this comparison, averaging 58.4 versus 54.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for instruction following in this comparison, averaging 91.9 versus 87.4. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
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