Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 nano
27
Qwen3.5 397B
64
Verified leaderboard positions: GPT-4.1 nano unranked · Qwen3.5 397B #15
Pick Qwen3.5 397B if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Knowledge
+14.9 difference
Inst. Following
+9.4 difference
GPT-4.1 nano
Qwen3.5 397B
$0.1 / $0.4
$0.6 / $3.6
181 t/s
96 t/s
0.63s
2.44s
1M
128K
Pick Qwen3.5 397B if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Qwen3.5 397B is clearly ahead on the provisional aggregate, 64 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5 397B's sharpest advantage is in knowledge, where it averages 65.2 against 50.3. The single biggest benchmark swing on the page is GPQA, 50.3% to 88.4%.
Qwen3.5 397B is also the more expensive model on tokens at $0.60 input / $3.60 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. That is roughly 9.0x on output cost alone. GPT-4.1 nano gives you the larger context window at 1M, compared with 128K for Qwen3.5 397B.
Qwen3.5 397B is ahead on BenchLM's provisional leaderboard, 64 to 27. The biggest single separator in this matchup is GPQA, where the scores are 50.3% and 88.4%.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 65.2 versus 50.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for instruction following in this comparison, averaging 92.6 versus 83.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.