Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Fable 5
97
GLM-5.2
94
Verified leaderboard positions: Claude Fable 5 #2 · GLM-5.2 #9
Pick Claude Fable 5 if you want the stronger benchmark profile. GLM-5.2 only becomes the better choice if you want the cheaper token bill.
Agentic
+4.2 difference
Coding
+23.5 difference
Knowledge
+7.6 difference
Claude Fable 5
GLM-5.2
$10 / $50
$1.4 / $4.4
N/A
N/A
N/A
N/A
1M+
1M
Pick Claude Fable 5 if you want the stronger benchmark profile. GLM-5.2 only becomes the better choice if you want the cheaper token bill.
Claude Fable 5 has the cleaner provisional overall profile here, landing at 97 versus 94. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Fable 5's sharpest advantage is in coding, where it averages 85.6 against 62.1. The single biggest benchmark swing on the page is SWE-bench Pro, 80% to 62.1%.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $1.40 input / $4.40 output per 1M tokens for GLM-5.2. That is roughly 11.4x on output cost alone. Claude Fable 5 gives you the larger context window at 1M+, compared with 1M for GLM-5.2.
Claude Fable 5 is ahead on BenchLM's provisional leaderboard, 97 to 94. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 80% and 62.1%.
Claude Fable 5 has the edge for knowledge tasks in this comparison, averaging 74.8 versus 67.2. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Claude Fable 5 has the edge for coding in this comparison, averaging 85.6 versus 62.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Fable 5 has the edge for agentic tasks in this comparison, averaging 85.2 versus 81. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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