Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
82
Muse Spark
82
Verified leaderboard positions: GLM-5.1 #23 · Muse Spark unranked
Treat this as a split decision. GLM-5.1 makes more sense if agentic is the priority; Muse Spark is the better fit if coding is the priority or you need the larger 262K context window.
Agentic
+6.3 difference
Coding
+0.8 difference
Knowledge
+1.9 difference
GLM-5.1
Muse Spark
$1.4 / $4.4
N/A
N/A
N/A
N/A
N/A
203K
262K
Treat this as a split decision. GLM-5.1 makes more sense if agentic is the priority; Muse Spark is the better fit if coding is the priority or you need the larger 262K context window.
GLM-5.1 and Muse Spark finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
Muse Spark gives you the larger context window at 262K, compared with 203K for GLM-5.1.
GLM-5.1 and Muse Spark are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
GLM-5.1 has the edge for knowledge tasks in this comparison, averaging 52.3 versus 50.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Muse Spark has the edge for coding in this comparison, averaging 61.7 versus 60.9. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
GLM-5.1 has the edge for agentic tasks in this comparison, averaging 65.3 versus 59. Inside this category, CyberGym is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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