Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5
67
Muse Spark
82
Verified leaderboard positions: GLM-5 #19 · Muse Spark unranked
Pick Muse Spark if you want the stronger benchmark profile. GLM-5 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+2.8 difference
Coding
+1.5 difference
Reasoning
+18.3 difference
Knowledge
+20.3 difference
GLM-5
Muse Spark
$1 / $3.2
N/A
74 t/s
N/A
1.64s
N/A
200K
262K
Pick Muse Spark if you want the stronger benchmark profile. GLM-5 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Muse Spark is clearly ahead on the provisional aggregate, 82 to 67. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark's sharpest advantage is in agentic, where it averages 59 against 56.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 56.2% to 59%. GLM-5 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Muse Spark is the reasoning model in the pair, while GLM-5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Muse Spark gives you the larger context window at 262K, compared with 200K for GLM-5.
Muse Spark is ahead on BenchLM's provisional leaderboard, 82 to 67. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.2% and 59%.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 70.7 versus 50.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
GLM-5 has the edge for coding in this comparison, averaging 63.2 versus 61.7. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
GLM-5 has the edge for reasoning in this comparison, averaging 60.8 versus 42.5. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Muse Spark has the edge for agentic tasks in this comparison, averaging 59 versus 56.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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