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Model comparison

DeepSeek V4 Pro (High) vs Muse Spark

Data verified

Head-to-head evidence from 20 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.47/100
Margin
15.6pts
winning →
71.04/100
4 category wins0 category wins

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 scores and score margins for DeepSeek V4 Pro (High) and Muse Spark
CategoryDeepSeek V4 Pro (High)ΔMuse Spark
MathDeepSeek V4 Pro (High)94.0Margin 61.1Muse Spark32.9
AgenticDeepSeek V4 Pro (High)70.6Margin 11.6Muse Spark59.0
KnowledgeDeepSeek V4 Pro (High)57.0Margin 6.6Muse Spark50.4
CodingDeepSeek V4 Pro (High)69.8Margin 2.0Muse Spark67.8
ReasoningDeepSeek V4 Pro (High)Not measuredMarginNo overlapMuse Spark42.5
MultimodalDeepSeek V4 Pro (High)Not measuredMarginNo overlapMuse Spark82.5

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · DeepSeek V4 Pro (High)B · Muse Spark
  1. HLE

    Knowledge
    Source ↗
    A 34.5%B 50.4%
    Winner: Muse SparkΔ 15.9
    HLE: DeepSeek V4 Pro (High) scored 34.5%; Muse Spark scored 50.4%. Muse Spark wins this benchmark.
  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 63.3%B 59%
    Winner: DeepSeek V4 Pro (High)Δ 4.3
    Terminal-Bench 2.0: DeepSeek V4 Pro (High) scored 63.3%; Muse Spark scored 59%. DeepSeek V4 Pro (High) wins this benchmark.
  3. SWE-bench Verified

    Coding
    Source ↗
    A 79.4%B 77.4%
    Winner: DeepSeek V4 Pro (High)Δ 2
    SWE-bench Verified: DeepSeek V4 Pro (High) scored 79.4%; Muse Spark scored 77.4%. DeepSeek V4 Pro (High) wins this benchmark.
  4. SWE-bench Pro

    Coding
    Source ↗
    A 54.4%B 52.4%
    Winner: DeepSeek V4 Pro (High)Δ 2
    SWE-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.

MetricDeepSeek V4 Pro (High)Muse SparkComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro (High)$0.435 input / $0.87 outputMuse SparkNot availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Pro (High)Not availableMuse SparkNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Pro (High)Not availableMuse SparkNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro (High)1MMuse Spark262KDeepSeek V4 Pro (High) lists the larger context window.

Benchmark Deep Dive

AgenticDeepSeek V4 Pro (High) wins
BenchmarkDeepSeek V4 Pro (High)Muse SparkResult
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 12991144DeepSeek 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) wins
BenchmarkDeepSeek V4 Pro (High)Muse SparkResult
CodeforcesSource 2919.0Not 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
Reasoning
BenchmarkDeepSeek V4 Pro (High)Muse SparkResult
MRCR 1MSource 83.3%Not comparable
CorpusQA 1MSource 56.5%Not comparable
AA-LCRSource 65.0%69.7%Muse Spark leads
CritPtSource 10.0%11.3%Muse Spark leads
ARC-AGI-2Source 42.5%Not comparable
KnowledgeDeepSeek V4 Pro (High) wins
BenchmarkDeepSeek V4 Pro (High)Muse SparkResult
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) wins
BenchmarkDeepSeek V4 Pro (High)Muse SparkResult
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
Multimodal
BenchmarkDeepSeek V4 Pro (High)Muse SparkResult
Design Arena WebsiteSource 1264Not 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. Following
BenchmarkDeepSeek V4 Pro (High)Muse SparkResult
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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Last updated: July 23, 2026

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