Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Muse Spark
81
Step 3.7 Flash
72
Pick Muse Spark if you want the stronger benchmark profile. Step 3.7 Flash only becomes the better choice if agentic is the priority.
Agentic
+6.9 difference
Coding
+5.4 difference
Muse Spark
Step 3.7 Flash
N/A
$0.2 / $1.15
N/A
N/A
N/A
N/A
262K
256K
Pick Muse Spark if you want the stronger benchmark profile. Step 3.7 Flash only becomes the better choice if agentic is the priority.
Muse Spark is clearly ahead on the provisional aggregate, 81 to 72. 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 56.3. The single biggest benchmark swing on the page is SWE-bench Pro, 52.4% to 56.3%. Step 3.7 Flash does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Muse Spark gives you the larger context window at 262K, compared with 256K for Step 3.7 Flash.
Muse Spark is ahead on BenchLM's provisional leaderboard, 81 to 72. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 52.4% and 56.3%.
Muse Spark has the edge for coding in this comparison, averaging 61.7 versus 56.3. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Step 3.7 Flash has the edge for agentic tasks in this comparison, averaging 65.9 versus 59. Inside this category, DeepSearchQA is the benchmark that creates the most daylight between them.
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