Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
71
Muse Spark
82
Verified leaderboard positions: DeepSeek V4 Pro #22 · Muse Spark unranked
Pick Muse Spark if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Agentic
+0.1 difference
Coding
+2.9 difference
Knowledge
+1.0 difference
DeepSeek V4 Pro
Muse Spark
$1.74 / $3.48
N/A
N/A
N/A
N/A
N/A
1M
262K
Pick Muse Spark if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Muse Spark is clearly ahead on the provisional aggregate, 82 to 71. 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 58.8. The single biggest benchmark swing on the page is HLE, 7.7% to 50.4%. DeepSeek V4 Pro does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Muse Spark is the reasoning model in the pair, while DeepSeek V4 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 262K for Muse Spark.
Muse Spark is ahead on BenchLM's provisional leaderboard, 82 to 71. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 50.4%.
Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 49.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Muse Spark has the edge for coding in this comparison, averaging 61.7 versus 58.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro has the edge for agentic tasks in this comparison, averaging 59.1 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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