Holo3-35B-A3B vs Muse Spark
Head-to-head comparison across 1benchmark 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.
Holo3-35B-A3B
74
Muse Spark
76
Pick Muse Spark if you want the stronger benchmark profile. Holo3-35B-A3B only becomes the better choice if agentic 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 | Holo3-35B-A3B | Δ | Muse Spark |
|---|---|---|---|
| Agentic | 82.6 | ← 23.6 | 59.0 |
| Coding | — | — | 61.7 |
| Reasoning | — | — | 42.5 |
| Knowledge | — | — | 50.4 |
| Multimodal | — | — | 82.5 |
Operational Comparison
Holo3-35B-A3B
Muse Spark
$null / $null
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64K
262K
Quick Verdict
Pick Muse Spark if you want the stronger benchmark profile. Holo3-35B-A3B only becomes the better choice if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Muse Spark has the cleaner provisional overall profile here, landing at 76 versus 74. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Muse Spark is the reasoning model in the pair, while Holo3-35B-A3B 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 64K for Holo3-35B-A3B.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, Holo3-35B-A3B or Muse Spark?
Muse Spark is ahead on BenchLM's provisional leaderboard, 76 to 74.
Which is better for agentic tasks, Holo3-35B-A3B or Muse Spark?
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 82.6 versus 59. Muse Spark stays close enough that the answer can still flip depending on your workload.
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