Head-to-head comparison across 7benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Qwen3.5 397B
63
Qwen3.7 Plus
87
Verified leaderboard positions: Qwen3.5 397B #20 · Qwen3.7 Plus #3
Pick Qwen3.7 Plus if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if instruction following is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+15.5 difference
Coding
+10.8 difference
Reasoning
+28.5 difference
Knowledge
+2.7 difference
Multilingual
+0.7 difference
Multimodal
+1.5 difference
Inst. Following
+3.4 difference
Qwen3.5 397B
Qwen3.7 Plus
$0.6 / $3.6
N/A
96 t/s
N/A
2.44s
N/A
128K
1M
Pick Qwen3.7 Plus if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if instruction following is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Qwen3.7 Plus is clearly ahead on the provisional aggregate, 87 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Plus's sharpest advantage is in reasoning, where it averages 91.7 against 63.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 52.5% to 70.3%. Qwen3.5 397B does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Plus is the reasoning model in the pair, while Qwen3.5 397B 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. Qwen3.7 Plus gives you the larger context window at 1M, compared with 128K for Qwen3.5 397B.
Qwen3.7 Plus is ahead on BenchLM's provisional leaderboard, 87 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 52.5% and 70.3%.
Qwen3.7 Plus has the edge for knowledge tasks in this comparison, averaging 67.9 versus 65.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for coding in this comparison, averaging 71.1 versus 60.3. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for reasoning in this comparison, averaging 91.7 versus 63.2. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for agentic tasks in this comparison, averaging 71.7 versus 56.2. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 79.6. Inside this category, ScreenSpot Pro 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 89.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for multilingual tasks in this comparison, averaging 85.4 versus 84.7. Inside this category, MMLU-ProX 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.