Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
Muse Spark
82
Verified leaderboard positions: DeepSeek V4 Pro (High) #6 · Muse Spark unranked
Pick DeepSeek V4 Pro (High) 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
+11.0 difference
Coding
+12.1 difference
Knowledge
+12.2 difference
DeepSeek V4 Pro (High)
Muse Spark
$1.74 / $3.48
N/A
N/A
N/A
N/A
N/A
1M
262K
Pick DeepSeek V4 Pro (High) 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 (High) finishes one point ahead on BenchLM's provisional leaderboard, 83 to 82. 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.
DeepSeek V4 Pro (High)'s sharpest advantage is in knowledge, where it averages 62.6 against 50.4. The single biggest benchmark swing on the page is HLE, 34.5% to 50.4%.
DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 262K for Muse Spark.
DeepSeek V4 Pro (High) is ahead on BenchLM's provisional leaderboard, 83 to 82. The biggest single separator in this matchup is HLE, where the scores are 34.5% and 50.4%.
DeepSeek V4 Pro (High) has the edge for knowledge tasks in this comparison, averaging 62.6 versus 50.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 73.8 versus 61.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (High) has the edge for agentic tasks in this comparison, averaging 70 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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