Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
87
Muse Spark
82
Verified leaderboard positions: DeepSeek V4 Pro (Max) #2 · Muse Spark unranked
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. Muse Spark only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+15.0 difference
Coding
+14.2 difference
Knowledge
+15.7 difference
DeepSeek V4 Pro (Max)
Muse Spark
$1.74 / $3.48
N/A
N/A
N/A
N/A
N/A
1M
262K
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. Muse Spark only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
DeepSeek V4 Pro (Max) is clearly ahead on the provisional aggregate, 87 to 82. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (Max)'s sharpest advantage is in knowledge, where it averages 66.1 against 50.4. The single biggest benchmark swing on the page is HLE, 37.7% to 50.4%.
DeepSeek V4 Pro (Max) gives you the larger context window at 1M, compared with 262K for Muse Spark.
DeepSeek V4 Pro (Max) is ahead on BenchLM's provisional leaderboard, 87 to 82. The biggest single separator in this matchup is HLE, where the scores are 37.7% and 50.4%.
DeepSeek V4 Pro (Max) has the edge for knowledge tasks in this comparison, averaging 66.1 versus 50.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 75.9 versus 61.7. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (Max) has the edge for agentic tasks in this comparison, averaging 74 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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