Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
91
GLM-5
77
Verified leaderboard positions: Claude Opus 4.6 #3 · GLM-5 #12
Pick Claude Opus 4.6 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if you want the cheaper token bill.
Agentic
+16.4 difference
Coding
+1.2 difference
Knowledge
+5.5 difference
Claude Opus 4.6
GLM-5
$5 / $25
$0 / $0
40 t/s
74 t/s
1.78s
1.64s
1M
200K
Pick Claude Opus 4.6 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if you want the cheaper token bill.
Claude Opus 4.6 is clearly ahead on the provisional aggregate, 91 to 77. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in agentic, where it averages 72.6 against 56.2. The single biggest benchmark swing on the page is SuperGPQA, 95% to 66.8%.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 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. Claude Opus 4.6 gives you the larger context window at 1M, compared with 200K for GLM-5.
Claude Opus 4.6 is ahead on BenchLM's provisional leaderboard, 91 to 77. The biggest single separator in this matchup is SuperGPQA, where the scores are 95% and 66.8%.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 70.7. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 64.4 versus 63.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 72.6 versus 56.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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