Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro Base
43
Muse Spark
82
Pick Muse Spark if you want the stronger benchmark profile. DeepSeek V4 Pro Base only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Reasoning
+9.0 difference
Knowledge
+13.0 difference
DeepSeek V4 Pro Base
Muse Spark
$null / $null
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 Base only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Muse Spark is clearly ahead on the provisional aggregate, 82 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark is the reasoning model in the pair, while DeepSeek V4 Pro Base 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 Base 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 43.
DeepSeek V4 Pro Base has the edge for knowledge tasks in this comparison, averaging 63.4 versus 50.4. Muse Spark stays close enough that the answer can still flip depending on your workload.
DeepSeek V4 Pro Base has the edge for reasoning in this comparison, averaging 51.5 versus 42.5. Muse Spark stays close enough that the answer can still flip depending on your workload.
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