Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 nano
60
Muse Spark
82
Pick Muse Spark if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if knowledge is the priority or you need the larger 400K context window.
Agentic
+16.1 difference
Knowledge
+2.8 difference
Multimodal
+16.1 difference
GPT-5.4 nano
Muse Spark
$0.2 / $1.25
N/A
191 t/s
N/A
3.64s
N/A
400K
262K
Pick Muse Spark if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if knowledge is the priority or you need the larger 400K context window.
Muse Spark is clearly ahead on the provisional aggregate, 82 to 60. 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 multimodal & grounded, where it averages 82.2 against 66.1. The single biggest benchmark swing on the page is MMMU-Pro, 66.1% to 80.4%. GPT-5.4 nano does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 nano gives you the larger context window at 400K, compared with 262K for Muse Spark.
Muse Spark is ahead on BenchLM's provisional leaderboard, 82 to 60. The biggest single separator in this matchup is MMMU-Pro, where the scores are 66.1% and 80.4%.
GPT-5.4 nano has the edge for knowledge tasks in this comparison, averaging 53.2 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 agentic tasks in this comparison, averaging 59 versus 42.9. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.2 versus 66.1. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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