DeepSeek V4 Flash Base vs Muse Spark 1.1
Head-to-head comparison across 1benchmark 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 Flash Base
40
Muse Spark 1.1
78
Pick Muse Spark 1.1 if you want the stronger benchmark profile. DeepSeek V4 Flash Base 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 Flash Base | Δ | Muse Spark 1.1 |
|---|---|---|---|
| Knowledge | 56.5 | → 5.6 | 62.1 |
| Agentic | — | — | 80.4 |
| Coding | — | — | 61.5 |
| Reasoning | 44.7 | — | — |
| Multimodal | — | — | 88.4 |
Operational Comparison
DeepSeek V4 Flash Base
Muse Spark 1.1
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Quick Verdict
Pick Muse Spark 1.1 if you want the stronger benchmark profile. DeepSeek V4 Flash Base 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 40. 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 knowledge, where it averages 62.1 against 56.5.
Muse Spark 1.1 is the reasoning model in the pair, while DeepSeek V4 Flash 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.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Flash Base or Muse Spark 1.1?
Muse Spark 1.1 is ahead on BenchLM's provisional leaderboard, 78 to 40.
Which is better for knowledge tasks, DeepSeek V4 Flash Base or Muse Spark 1.1?
Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 56.5. DeepSeek V4 Flash Base stays close enough that the answer can still flip depending on your workload.
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