Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
68
GLM-5
77
Verified leaderboard positions: Claude Sonnet 4.5 unranked · GLM-5 #12
Pick GLM-5 if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if coding is the priority.
Agentic
+0.9 difference
Coding
+14.0 difference
Reasoning
+47.2 difference
Knowledge
+12.7 difference
Claude Sonnet 4.5
GLM-5
$3 / $15
$0 / $0
N/A
74 t/s
N/A
1.64s
200K
200K
Pick GLM-5 if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if coding is the priority.
GLM-5 is clearly ahead on the provisional aggregate, 77 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in reasoning, where it averages 60.8 against 13.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50% to 56.2%. Claude Sonnet 4.5 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-5. That is roughly Infinityx on output cost alone.
GLM-5 is ahead on BenchLM's provisional leaderboard, 77 to 68. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50% and 56.2%.
Claude Sonnet 4.5 has the edge for knowledge tasks in this comparison, averaging 83.4 versus 70.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for coding in this comparison, averaging 77.2 versus 63.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GLM-5 has the edge for reasoning in this comparison, averaging 60.8 versus 13.6. Claude Sonnet 4.5 stays close enough that the answer can still flip depending on your workload.
GLM-5 has the edge for agentic tasks in this comparison, averaging 56.2 versus 55.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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