Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5
76
Muse Spark
69
Verified leaderboard positions: GLM-5 #10 · Muse Spark unranked
Pick GLM-5 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if agentic is the priority or you need the larger 262K context window.
Agentic
+2.8 difference
Coding
+1.5 difference
Reasoning
+18.3 difference
Knowledge
+20.3 difference
GLM-5
Muse Spark
$0 / $0
N/A
74 t/s
N/A
1.64s
N/A
200K
262K
Pick GLM-5 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if agentic is the priority or you need the larger 262K context window.
GLM-5 is clearly ahead on the provisional aggregate, 76 to 69. 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 knowledge, where it averages 70.7 against 50.4. The single biggest benchmark swing on the page is GPQA-D, 86.0% to 89.5%. Muse Spark does hit back in agentic, 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.
GLM-5 is ahead on BenchLM's provisional leaderboard, 76 to 69. The biggest single separator in this matchup is GPQA-D, where the scores are 86.0% and 89.5%.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 70.7 versus 50.4. Inside this category, GPQA-D 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, SWE-bench Pro 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. Muse Spark stays close enough that the answer can still flip depending on your workload.
Muse Spark has the edge for agentic tasks in this comparison, averaging 59 versus 56.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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