Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5 (Reasoning) is clearly ahead on the aggregate, 71 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5 (Reasoning)'s sharpest advantage is in agentic, where it averages 80.6 against 61.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 61.7% to 81%.
Composer 2 is also the more expensive model on tokens at $0.50 input / $2.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-5 (Reasoning). That is roughly Infinityx on output cost alone.
Pick GLM-5 (Reasoning) if you want the stronger benchmark profile. Composer 2 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Composer 2
61.7
GLM-5 (Reasoning)
80.6
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GLM-5 (Reasoning) is ahead overall, 71 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 61.7% and 81%.
GLM-5 (Reasoning) has the edge for agentic tasks in this comparison, averaging 80.6 versus 61.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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