DeepSeek V4 Pro vs Muse Spark 1.1
Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
Muse Spark 1.1 leads for most workloads.
Based on BenchLM composite scores, July 2026.
DeepSeek V4 Pro
64
Muse Spark 1.1
78
Verified leaderboard positions: DeepSeek V4 Pro #34 · Muse Spark 1.1 unranked
Pick Muse Spark 1.1 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | DeepSeek V4 Pro | Δ | Muse Spark 1.1 |
|---|---|---|---|
| Agentic | 59.1 | → 21.3 | 80.4 |
| Knowledge | 41.7 | → 20.4 | 62.1 |
| Coding | 58.8 | → 2.7 | 61.5 |
| Math | 31.7 | — | — |
| Multimodal | — | — | 88.4 |
Operational Comparison
DeepSeek V4 Pro
Muse Spark 1.1
$1.74 / $3.48
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1M
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Quick Verdict
Pick Muse Spark 1.1 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Muse Spark 1.1 is clearly ahead on the provisional aggregate, 78 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark 1.1's sharpest advantage is in agentic, where it averages 80.4 against 59.1. The single biggest benchmark swing on the page is HLE, 7.7% to 62.1%.
Muse Spark 1.1 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.
Benchmark Deep Dive
Frequently Asked Questions (4)
Which is better, DeepSeek V4 Pro or Muse Spark 1.1?
Muse Spark 1.1 is ahead on BenchLM's provisional leaderboard, 78 to 64. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 62.1%.
Which is better for knowledge tasks, DeepSeek V4 Pro or Muse Spark 1.1?
Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 41.7. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Pro or Muse Spark 1.1?
Muse Spark 1.1 has the edge for coding in this comparison, averaging 61.5 versus 58.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, DeepSeek V4 Pro or Muse Spark 1.1?
Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 59.1. Inside this category, Toolathlon is the benchmark that creates the most daylight between them.
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