Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
71
Qwen3.5 397B
66
Verified leaderboard positions: GLM-4.7 unranked · Qwen3.5 397B #11
Pick GLM-4.7 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+10.9 difference
Coding
+10.3 difference
Knowledge
+4.6 difference
GLM-4.7
Qwen3.5 397B
$0 / $0
$0 / $0
82 t/s
96 t/s
1.10s
2.44s
200K
128K
Pick GLM-4.7 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
GLM-4.7 is clearly ahead on the provisional aggregate, 71 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7's sharpest advantage is in coding, where it averages 70.6 against 60.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 41% to 52.5%. Qwen3.5 397B does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GLM-4.7 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. GLM-4.7 gives you the larger context window at 200K, compared with 128K for Qwen3.5 397B.
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 71 to 66. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 41% and 52.5%.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 65.2 versus 60.6. Inside this category, HLE is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for coding in this comparison, averaging 70.6 versus 60.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for agentic tasks in this comparison, averaging 56.2 versus 45.3. Inside this category, VITA-Bench 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.