Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
65
Muse Spark
82
Pick Muse Spark if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+3.7 difference
Coding
+15.5 difference
Reasoning
+28.9 difference
Knowledge
+33.0 difference
Claude Sonnet 4.5
Muse Spark
$3 / $15
N/A
N/A
N/A
N/A
N/A
200K
262K
Pick Muse Spark if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if knowledge 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, 82 to 65. 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 reasoning, where it averages 42.5 against 13.6. The single biggest benchmark swing on the page is ARC-AGI-2, 13.6% to 42.5%. Claude Sonnet 4.5 does hit back in knowledge, 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 Claude Sonnet 4.5 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 Claude Sonnet 4.5.
Muse Spark is ahead on BenchLM's provisional leaderboard, 82 to 65. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 13.6% and 42.5%.
Claude Sonnet 4.5 has the edge for knowledge tasks in this comparison, averaging 83.4 versus 50.4. Muse Spark stays close enough that the answer can still flip depending on your workload.
Claude Sonnet 4.5 has the edge for coding in this comparison, averaging 77.2 versus 61.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Muse Spark has the edge for reasoning in this comparison, averaging 42.5 versus 13.6. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
Muse Spark has the edge for agentic tasks in this comparison, averaging 59 versus 55.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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