GLM-5 vs Muse Spark
Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
Muse Spark leads for most workloads.
Based on BenchLM composite scores, July 2026.
GLM-5
64
Muse Spark
76
Verified leaderboard positions: GLM-5 #17 · Muse Spark unranked
Pick Muse Spark if you want the stronger benchmark profile. GLM-5 only becomes the better choice if reasoning is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GLM-5 | Δ | Muse Spark |
|---|---|---|---|
| Reasoning | 60.8 | ← 18.3 | 42.5 |
| Knowledge | 66.6 | ← 16.2 | 50.4 |
| Agentic | 56.2 | → 2.8 | 59.0 |
| Coding | 63.3 | ← 1.6 | 61.7 |
| Math | 91.1 | — | — |
| Multilingual | 83.1 | — | — |
| Multimodal | — | — | 82.5 |
| Inst. Following | 92.6 | — | — |
Operational Comparison
GLM-5
Muse Spark
$1 / $3.2
N/A
74 t/s
N/A
1.64s
N/A
200K
262K
Quick Verdict
Pick Muse Spark if you want the stronger benchmark profile. GLM-5 only becomes the better choice if reasoning 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, 76 to 64. 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 reasoning, 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.
Benchmark Deep Dive
Frequently Asked Questions (5)
Which is better, GLM-5 or Muse Spark?
Muse Spark is ahead on BenchLM's provisional leaderboard, 76 to 64. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.2% and 59%.
Which is better for knowledge tasks, GLM-5 or Muse Spark?
GLM-5 has the edge for knowledge tasks in this comparison, averaging 66.6 versus 50.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, GLM-5 or Muse Spark?
GLM-5 has the edge for coding in this comparison, averaging 63.3 versus 61.7. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for reasoning, GLM-5 or Muse Spark?
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.
Which is better for agentic tasks, GLM-5 or Muse Spark?
Muse Spark has the edge for agentic tasks in this comparison, averaging 59 versus 56.2. Inside this category, Tau2-Telecom is the benchmark that creates the most daylight between them.
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