Head-to-head comparison across 5benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
79
Muse Spark
69
Pick GPT-5.2 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if agentic is the priority.
Agentic
+3.8 difference
Coding
+3.0 difference
Reasoning
+10.4 difference
Knowledge
+42.0 difference
Multimodal
+0.9 difference
GPT-5.2
Muse Spark
$2 / $8
N/A
73 t/s
N/A
130.34s
N/A
400K
262K
Pick GPT-5.2 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if agentic is the priority.
GPT-5.2 is clearly ahead on the provisional aggregate, 79 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 50.4. The single biggest benchmark swing on the page is ARC-AGI-2, 52.9% to 42.5%. Muse Spark does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 gives you the larger context window at 400K, compared with 262K for Muse Spark.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 79 to 69. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 52.9% and 42.5%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 50.4. Muse Spark stays close enough that the answer can still flip depending on your workload.
GPT-5.2 has the edge for coding in this comparison, averaging 64.7 versus 61.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for reasoning in this comparison, averaging 52.9 versus 42.5. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
Muse Spark has the edge for agentic tasks in this comparison, averaging 59 versus 55.2. GPT-5.2 stays close enough that the answer can still flip depending on your workload.
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 80.4 versus 79.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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