Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Composer 2
73
Qwen3.5 397B
64
Verified leaderboard positions: Composer 2 unranked · Qwen3.5 397B #15
Pick Composer 2 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+5.5 difference
Coding
+2.3 difference
Composer 2
Qwen3.5 397B
$0.5 / $2.5
$0.6 / $3.6
N/A
96 t/s
N/A
2.44s
200K
128K
Pick Composer 2 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Composer 2 is clearly ahead on the provisional aggregate, 73 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Composer 2's sharpest advantage is in agentic, where it averages 61.7 against 56.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 61.7% to 52.5%. Qwen3.5 397B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Qwen3.5 397B is also the more expensive model on tokens at $0.60 input / $3.60 output per 1M tokens, versus $0.50 input / $2.50 output per 1M tokens for Composer 2. Composer 2 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. Composer 2 gives you the larger context window at 200K, compared with 128K for Qwen3.5 397B.
Composer 2 is ahead on BenchLM's provisional leaderboard, 73 to 64. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 61.7% and 52.5%.
Qwen3.5 397B has the edge for coding in this comparison, averaging 60.3 versus 58. Composer 2 stays close enough that the answer can still flip depending on your workload.
Composer 2 has the edge for agentic tasks in this comparison, averaging 61.7 versus 56.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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