Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 nano
27
Muse Spark
82
Pick Muse Spark if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+0.1 difference
GPT-4.1 nano
Muse Spark
$0.1 / $0.4
N/A
181 t/s
N/A
0.63s
N/A
1M
262K
Pick Muse Spark if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you need the larger 1M context window 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 27. 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 knowledge, where it averages 50.4 against 50.3.
Muse Spark is the reasoning model in the pair, while GPT-4.1 nano 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. GPT-4.1 nano gives you the larger context window at 1M, compared with 262K for Muse Spark.
Muse Spark is ahead on BenchLM's provisional leaderboard, 82 to 27.
Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 50.3. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
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