Head-to-head comparison across 6benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.5
80
GLM-5
77
Verified leaderboard positions: Claude Opus 4.5 #7 · GLM-5 #13
Pick Claude Opus 4.5 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if instruction following is the priority.
Agentic
+6.3 difference
Coding
+2.7 difference
Reasoning
+3.6 difference
Knowledge
+4.5 difference
Multilingual
+2.6 difference
Inst. Following
+13.2 difference
Claude Opus 4.5
GLM-5
$null / $null
$0 / $0
46 t/s
74 t/s
1.01s
1.64s
200K
200K
Pick Claude Opus 4.5 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if instruction following is the priority.
Claude Opus 4.5 has the cleaner provisional overall profile here, landing at 80 versus 77. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Opus 4.5's sharpest advantage is in agentic, where it averages 62.5 against 56.2. The single biggest benchmark swing on the page is HLE, 30.8% to 50.4%. GLM-5 does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.5 is ahead on BenchLM's provisional leaderboard, 80 to 77. The biggest single separator in this matchup is HLE, where the scores are 30.8% and 50.4%.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 70.7 versus 66.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for coding in this comparison, averaging 65.9 versus 63.2. Inside this category, SWE Multilingual is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for reasoning in this comparison, averaging 64.4 versus 60.8. Inside this category, AI-Needle is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for agentic tasks in this comparison, averaging 62.5 versus 56.2. Inside this category, DeepPlanning is the benchmark that creates the most daylight between them.
GLM-5 has the edge for instruction following in this comparison, averaging 92.6 versus 79.4. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for multilingual tasks in this comparison, averaging 85.7 versus 83.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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