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Model comparison

DeepSeek V4 Pro (Max) vs Muse Spark 1.1

Data verified

Head-to-head evidence from 25 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

N/A
No comparison
77.44/100
1 category wins2 category wins

Public leaderboard positions: DeepSeek V4 Pro (Max) unranked (Not scored); Muse Spark 1.1 #6 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro (Max) and Muse Spark 1.1 share 25 comparable benchmark results. 3 of 8 categories are comparable. 23 results are unique to DeepSeek V4 Pro (Max); 14 to Muse Spark 1.1.

Updated July 23, 2026
Shared results
25
DeepSeek V4 Pro (Max) only
23
Muse Spark 1.1 only
14
Comparable categories
3 / 8

Treat this as a split decision. DeepSeek V4 Pro (Max) makes more sense if coding is the priority; Muse Spark 1.1 is the better fit if agentic is the priority.

Confidence note. This is a partial-evidence comparison with 25 shared benchmark results across 5 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

DeepSeek V4 Pro (Max) and Muse Spark 1.1 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

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 (Max) and Muse Spark 1.1
CategoryDeepSeek V4 Pro (Max)ΔMuse Spark 1.1
CodingDeepSeek V4 Pro (Max)70.9Margin← 9.4Muse Spark 1.161.5
AgenticDeepSeek V4 Pro (Max)74.5Margin→ 5.9Muse Spark 1.180.4
KnowledgeDeepSeek V4 Pro (Max)60.1Margin→ 2.0Muse Spark 1.162.1
MathDeepSeek V4 Pro (Max)95.2MarginNo overlapMuse Spark 1.1Not measured
MultimodalDeepSeek V4 Pro (Max)Not measuredMarginNo overlapMuse Spark 1.188.4

Decisive benchmark drivers

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

More
A · DeepSeek V4 Pro (Max)B · Muse Spark 1.1

  1. HLE

    Knowledge
    Source ↗
    A 37.7%B 62.1%
    Winner: Muse Spark 1.1Δ 24.4
    HLE: DeepSeek V4 Pro (Max) scored 37.7%; Muse Spark 1.1 scored 62.1%. Muse Spark 1.1 wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 67.9%B 80%
    Winner: Muse Spark 1.1Δ 12.1
    Terminal-Bench 2.0: DeepSeek V4 Pro (Max) scored 67.9%; Muse Spark 1.1 scored 80%. Muse Spark 1.1 wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 55.4%B 61.5%
    Winner: Muse Spark 1.1Δ 6.1
    SWE-bench Pro: DeepSeek V4 Pro (Max) scored 55.4%; Muse Spark 1.1 scored 61.5%. Muse Spark 1.1 wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V4 Pro (Max)Muse Spark 1.1Comparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro (Max)$0.435 input / $0.87 outputMuse Spark 1.1Not availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Pro (Max)Not availableMuse Spark 1.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Pro (Max)Not availableMuse Spark 1.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro (Max)1MMuse Spark 1.11MListed context windows are equal.

Benchmark Deep Dive

AgenticMuse Spark 1.1 wins
BenchmarkDeepSeek V4 Pro (Max)Muse Spark 1.1Result
Terminal-Bench 2.0Source 67.9%80%Muse Spark 1.1 leads
BrowseCompSource 83.4%—Not comparable
HLE w/ toolsSource 48.2%—Not comparable
MCP AtlasSource 73.6%88.1%Muse Spark 1.1 leads
GDPval-AASource 13071374Muse Spark 1.1 leads
ToolathlonSource 51.8%75.6%Muse Spark 1.1 leads
AA Agentic IndexSource 36.4%37.5%Muse Spark 1.1 leads
APEX-Agents-AASource 24.3%—Not comparable
τ²-bench resultsSource 96.2%—Not comparable
GDPval-AASource 40.4%43.7%Muse Spark 1.1 leads
AA BriefcaseSource 932863DeepSeek V4 Pro (Max) leads
AA EnterpriseOps-GymSource 40.4%—Not comparable
AA Harvey LABSource 84.4%93.1%Muse Spark 1.1 leads
AA ITBenchSource 38.3%—Not comparable
AA Tau3 BankingSource 25.8%25.2%DeepSeek V4 Pro (Max) leads
terminalBenchHardSource 46.2%—Not comparable
aaTerminalBench21Source 64%77.9%Muse Spark 1.1 leads
OSWorld-VerifiedSource —80.8%Not comparable
DeepSearchQASource —84.9%Not comparable
CyberGymSource —59.0%Not comparable
Finance Agent v2Source —57.2%Not comparable
deepSweSource —53.3%Not comparable
OSWorld 2.0Source —14.2%Not comparable
JobBenchSource —54.7%Not comparable
CybenchSource —92.9%Not comparable
ExploitGymSource —0.8%Not comparable
AA AutomationBenchSource —42.8%Not comparable
CodingDeepSeek V4 Pro (Max) wins
BenchmarkDeepSeek V4 Pro (Max)Muse Spark 1.1Result
CodeforcesSource 3206.0—Not comparable
SWE-bench VerifiedSource 80.6%—Not comparable
SWE-bench ProSource 55.4%61.5%Muse Spark 1.1 leads
SWE MultilingualSource 76.2%—Not comparable
Terminal-Bench 2.0Source 67.9%80.0%Muse Spark 1.1 leads
Vibe Code BenchSource 49.93%—Not comparable
AA Coding IndexSource 59.4%71.3%Muse Spark 1.1 leads
AA-SciCodeSource 50.0%58.2%Muse Spark 1.1 leads
Reasoning
BenchmarkDeepSeek V4 Pro (Max)Muse Spark 1.1Result
MRCR 1MSource 83.5%54.1%DeepSeek V4 Pro (Max) leads
CorpusQA 1MSource 62.0%—Not comparable
AA-LCRSource 66.3%63.3%DeepSeek V4 Pro (Max) leads
CritPtSource 12.9%15.1%Muse Spark 1.1 leads
KnowledgeMuse Spark 1.1 wins
BenchmarkDeepSeek V4 Pro (Max)Muse Spark 1.1Result
MMLU-ProSource 87.5%—Not comparable
SimpleQASource 57.9%—Not comparable
Chinese-SimpleQASource 84.4%—Not comparable
GPQASource 90.1%—Not comparable
GPQA-DSource 90.1%—Not comparable
HLESource 37.7%62.1%Muse Spark 1.1 leads
Artificial Analysis Intelligence IndexSource 44.3%50.6%Muse Spark 1.1 leads
AA-GPQA DiamondSource 88.8%89.8%Muse Spark 1.1 leads
AA-HLESource 35.9%45.1%Muse Spark 1.1 leads
AA-Omniscience IndexSource -10.0%18.0%Muse Spark 1.1 leads
AA-Omniscience AccuracySource 43.3%40.6%DeepSeek V4 Pro (Max) leads
AA-Omniscience Hallucination RateSource 94.0%38.1%Muse Spark 1.1 leads
AA Openness IndexSource 50.0%—Not comparable
HLE w/o toolsSource —52.2%Not comparable
HealthBench ProfessionalSource —59.3%Not comparable
Math
BenchmarkDeepSeek V4 Pro (Max)Muse Spark 1.1Result
HMMT Feb 2026Source 95.2%—Not comparable
IMOAnswerBenchSource 89.8%—Not comparable
ApexSource 38.3%—Not comparable
Apex ShortlistSource 90.2%—Not comparable
Multimodal
BenchmarkDeepSeek V4 Pro (Max)Muse Spark 1.1Result
Design Arena WebsiteSource 12641299Muse Spark 1.1 leads
CharXivSource —88.4%Not comparable
BabyVisionSource —76.3%Not comparable
Inst. Following
BenchmarkDeepSeek V4 Pro (Max)Muse Spark 1.1Result
AA-IFBenchSource 76.5%—Not comparable
Frequently Asked Questions (4)

Which is better, DeepSeek V4 Pro (Max) or Muse Spark 1.1?

DeepSeek V4 Pro (Max) and Muse Spark 1.1 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for knowledge tasks, DeepSeek V4 Pro (Max) or Muse Spark 1.1?

Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 60.1. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, DeepSeek V4 Pro (Max) or Muse Spark 1.1?

DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 70.9 versus 61.5. 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 (Max) or Muse Spark 1.1?

Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 74.5. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.

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