Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Composer 2 is clearly ahead on the aggregate, 62 to 36. 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 31.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 61.7% to 28%.
Composer 2 is the reasoning model in the pair, while GLM-4.5 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 GLM-4.5.
Pick Composer 2 if you want the stronger benchmark profile. GLM-4.5 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Composer 2
61.7
GLM-4.5
31.3
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Composer 2 is ahead overall, 62 to 36. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 61.7% and 28%.
Composer 2 has the edge for agentic tasks in this comparison, averaging 61.7 versus 31.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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