Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.2
94
Muse Spark
80
Verified leaderboard positions: GLM-5.2 #9 · Muse Spark unranked
Pick GLM-5.2 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+22.0 difference
Coding
+0.4 difference
Knowledge
+16.8 difference
GLM-5.2
Muse Spark
$1.4 / $4.4
N/A
N/A
N/A
N/A
N/A
1M
262K
Pick GLM-5.2 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GLM-5.2 is clearly ahead on the provisional aggregate, 94 to 80. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.2's sharpest advantage is in agentic, where it averages 81 against 59. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 81% to 59%.
GLM-5.2 gives you the larger context window at 1M, compared with 262K for Muse Spark.
GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 80. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 81% and 59%.
GLM-5.2 has the edge for knowledge tasks in this comparison, averaging 67.2 versus 50.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
GLM-5.2 has the edge for coding in this comparison, averaging 62.1 versus 61.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GLM-5.2 has the edge for agentic tasks in this comparison, averaging 81 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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