Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 Pro
91
Muse Spark
82
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Muse Spark only becomes the better choice if knowledge is the priority.
Agentic
+30.3 difference
Reasoning
+40.8 difference
Knowledge
+1.4 difference
Multimodal
+11.8 difference
GPT-5.4 Pro
Muse Spark
$30 / $180
N/A
74 t/s
N/A
151.79s
N/A
1.05M
262K
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Muse Spark only becomes the better choice if knowledge is the priority.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 91 to 82. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in reasoning, where it averages 83.3 against 42.5. The single biggest benchmark swing on the page is ARC-AGI-2, 83.3% to 42.5%. Muse Spark does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 262K for Muse Spark.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 82. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 83.3% and 42.5%.
Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 49. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 83.3 versus 42.5. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 59. Muse Spark stays close enough that the answer can still flip depending on your workload.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 82.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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