Model comparison
DeepSeek V4 Pro (High) vs Muse Spark
Head-to-head evidence from 20 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro (High) #81 (Estimated); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (High) and Muse Spark share 20 comparable benchmark results. 4 of 8 categories are comparable. 18 results are unique to DeepSeek V4 Pro (High); 19 to Muse Spark.
Updated July 23, 2026- Shared results
- 20
- DeepSeek V4 Pro (High) only
- 18
- Muse Spark only
- 19
- Comparable categories
- 4 / 8
Pick Muse Spark if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if mathematics is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 5 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Muse Spark is clearly ahead on the BenchAlign aggregate, 71.04 to 55.47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 262K for Muse Spark.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V4 Pro (High) | Δ | Muse Spark |
|---|---|---|---|
| Math | DeepSeek V4 Pro (High)94.0 | Margin← 61.1 | Muse Spark32.9 |
| Agentic | DeepSeek V4 Pro (High)70.6 | Margin← 11.6 | Muse Spark59.0 |
| Knowledge | DeepSeek V4 Pro (High)57.0 | Margin← 6.6 | Muse Spark50.4 |
| Coding | DeepSeek V4 Pro (High)69.8 | Margin← 2.0 | Muse Spark67.8 |
| Reasoning | DeepSeek V4 Pro (High)Not measured | MarginNo overlap | Muse Spark42.5 |
| Multimodal | DeepSeek V4 Pro (High)Not measured | MarginNo overlap | Muse Spark82.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 34.5%B 50.4%Winner: Muse SparkΔ 15.9HLE: DeepSeek V4 Pro (High) scored 34.5%; Muse Spark scored 50.4%. Muse Spark wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 63.3%B 59%Winner: DeepSeek V4 Pro (High)Δ 4.3Terminal-Bench 2.0: DeepSeek V4 Pro (High) scored 63.3%; Muse Spark scored 59%. DeepSeek V4 Pro (High) wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 79.4%B 77.4%Winner: DeepSeek V4 Pro (High)Δ 2SWE-bench Verified: DeepSeek V4 Pro (High) scored 79.4%; Muse Spark scored 77.4%. DeepSeek V4 Pro (High) wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 54.4%B 52.4%Winner: DeepSeek V4 Pro (High)Δ 2SWE-bench Pro: DeepSeek V4 Pro (High) scored 54.4%; Muse Spark scored 52.4%. DeepSeek V4 Pro (High) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro (High) | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (High)$0.435 input / $0.87 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 Pro (High)Not available | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (High)Not available | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (High)1M | Muse Spark262K | DeepSeek V4 Pro (High) lists the larger context window. |
Benchmark Deep Dive
AgenticDeepSeek V4 Pro (High) wins12 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Muse Spark | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 63.3% | 59% | DeepSeek V4 Pro (High) leads |
| BrowseCompSource | 80.4% | — | Not comparable |
| HLE w/ toolsSource | 44.7% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| ToolathlonSource | 49% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | 91.5% | DeepSeek V4 Pro (High) leads |
| GDPval-AASource | 39.9% | 32.2% | DeepSeek V4 Pro (High) leads |
| GDPval-AASource | 1299 | 1144 | DeepSeek V4 Pro (High) leads |
| AA Agentic IndexSource | 34.4% | 28.7% | DeepSeek V4 Pro (High) leads |
| DeepSearchQASource | — | 74.8% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
| Claw-EvalSource | — | 63.8% | Not comparable |
CodingDeepSeek V4 Pro (High) wins9 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Muse Spark | Result |
|---|---|---|---|
| CodeforcesSource | 2919.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79.4% | 77.4% | DeepSeek V4 Pro (High) leads |
| SWE-bench ProSource | 54.4% | 52.4% | DeepSeek V4 Pro (High) leads |
| SWE MultilingualSource | 74.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 63.3% | — | Not comparable |
| AA-SciCodeSource | 46.4% | 51.5% | Muse Spark leads |
| AA Coding IndexSource | 58.7% | 58.6% | DeepSeek V4 Pro (High) leads |
| LiveCodeBench ProSource | — | 80.0% | Not comparable |
| Vibe Code BenchSource | — | 19.67% | Not comparable |
Reasoning5 benchmarks
KnowledgeDeepSeek V4 Pro (High) wins15 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Muse Spark | Result |
|---|---|---|---|
| MMLU-ProSource | 87.1% | — | Not comparable |
| SimpleQASource | 46.2% | — | Not comparable |
| Chinese-SimpleQASource | 77.7% | — | Not comparable |
| GPQASource | 89.1% | — | Not comparable |
| GPQA-DSource | 89.1% | 89.5% | Muse Spark leads |
| HLESource | 34.5% | 50.4% | Muse Spark leads |
| Artificial Analysis Intelligence IndexSource | 43.1% | 43.1% | DeepSeek V4 Pro (High) leads |
| AA-GPQA DiamondSource | 90.5% | 88.4% | DeepSeek V4 Pro (High) leads |
| AA-HLESource | 33.5% | 39.9% | Muse Spark leads |
| AA-Omniscience IndexSource | -9.7% | 4.1% | Muse Spark leads |
| AA-Omniscience AccuracySource | 41.8% | 44.6% | Muse Spark leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 73.2% | Muse Spark leads |
| HLE w/o toolsSource | — | 42.8% | Not comparable |
| HealthBench HardSource | — | 42.8% | Not comparable |
| MedXpertQA (Text)Source | — | 52.6% | Not comparable |
MathDeepSeek V4 Pro (High) wins6 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Muse Spark | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 94.0% | — | Not comparable |
| IMOAnswerBenchSource | 88.0% | — | Not comparable |
| ApexSource | 27.4% | — | Not comparable |
| Apex ShortlistSource | 85.5% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 39.000% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 14.600% | Not comparable |
Multimodal9 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Muse Spark | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | Not comparable |
| CharXivSource | — | 86.4% | Not comparable |
| MMMU-ProSource | — | 80.4% | Not comparable |
| ERQASource | — | 64.7% | Not comparable |
| SimpleVQASource | — | 71.3% | Not comparable |
| ScreenSpot ProSource | — | 84.1% | Not comparable |
| ZeroBenchSource | — | 33.0% | Not comparable |
| MedXpertQA (MM)Source | — | 78.4% | Not comparable |
| AA-MMMU-ProSource | — | 80.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | 71.3% | 75.9% | Muse Spark leads |
Frequently Asked Questions (5)
Which is better, DeepSeek V4 Pro (High) or Muse Spark?
Muse Spark is ahead on BenchLM's BenchAlign leaderboard, 71.04 to 55.47. The biggest single separator in this matchup is HLE, where the scores are 34.5% and 50.4%.
Which is better for knowledge tasks, DeepSeek V4 Pro (High) or Muse Spark?
DeepSeek V4 Pro (High) has the edge for knowledge tasks in this comparison, averaging 57 versus 50.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Pro (High) or Muse Spark?
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 69.8 versus 67.8. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V4 Pro (High) or Muse Spark?
DeepSeek V4 Pro (High) has the edge for math in this comparison, averaging 94 versus 32.9. Muse Spark stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, DeepSeek V4 Pro (High) or Muse Spark?
DeepSeek V4 Pro (High) has the edge for agentic tasks in this comparison, averaging 70.6 versus 59. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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