Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Holo3-35B-A3B
69
Muse Spark
69
Treat this as a split decision. Holo3-35B-A3B makes more sense if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Muse Spark is the better fit if you need the larger 262K context window or you want the stronger reasoning-first profile.
Agentic
+18.8 difference
Holo3-35B-A3B
Muse Spark
$0.25 / $1.8
N/A
N/A
N/A
N/A
N/A
64K
262K
Treat this as a split decision. Holo3-35B-A3B makes more sense if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Muse Spark is the better fit if you need the larger 262K context window or you want the stronger reasoning-first profile.
Holo3-35B-A3B 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 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.
Holo3-35B-A3B and Muse Spark are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 77.8 versus 59. Muse Spark stays close enough that the answer can still flip depending on your workload.
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