Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1
58
Muse Spark
82
Pick Muse Spark if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Coding
+7.1 difference
Knowledge
+15.9 difference
GPT-4.1
Muse Spark
$2 / $8
N/A
108 t/s
N/A
1.02s
N/A
1M
262K
Pick Muse Spark if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Muse Spark is clearly ahead on the provisional aggregate, 82 to 58. 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 coding, where it averages 61.7 against 54.6. The single biggest benchmark swing on the page is SWE-bench Verified, 54.6% to 77.4%. GPT-4.1 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 GPT-4.1 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 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 58. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 54.6% and 77.4%.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 66.3 versus 50.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Muse Spark has the edge for coding in this comparison, averaging 61.7 versus 54.6. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
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