Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
70
Muse Spark
69
Pick GPT-5.4 mini if you want the stronger benchmark profile. Muse Spark only becomes the better choice if multimodal & grounded is the priority.
Agentic
+6.6 difference
Knowledge
+7.0 difference
Multimodal
+3.8 difference
GPT-5.4 mini
Muse Spark
$0.75 / $4.5
N/A
201 t/s
N/A
3.85s
N/A
400K
262K
Pick GPT-5.4 mini if you want the stronger benchmark profile. Muse Spark only becomes the better choice if multimodal & grounded is the priority.
GPT-5.4 mini finishes one point ahead on BenchLM's provisional leaderboard, 70 to 69. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-5.4 mini's sharpest advantage is in knowledge, where it averages 57.4 against 50.4. The single biggest benchmark swing on the page is HLE w/o tools, 28.2% to 42.8%. Muse Spark does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 mini gives you the larger context window at 400K, compared with 262K for Muse Spark.
GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 70 to 69. The biggest single separator in this matchup is HLE w/o tools, where the scores are 28.2% and 42.8%.
GPT-5.4 mini has the edge for knowledge tasks in this comparison, averaging 57.4 versus 50.4. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 59. Inside this category, Tau2-Telecom is the benchmark that creates the most daylight between them.
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 80.4 versus 76.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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