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Model comparison

DeepSeek V4 Flash (High) vs Muse Spark 1.1

Data verified

Head-to-head evidence from 21 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

53.95/100
Margin
23.5pts
winning →
77.44/100
1 category wins2 category wins

Public leaderboard positions: DeepSeek V4 Flash (High) #92 (Estimated); Muse Spark 1.1 #6 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash (High) and Muse Spark 1.1 share 21 comparable benchmark results. 3 of 8 categories are comparable. 17 results are unique to DeepSeek V4 Flash (High); 18 to Muse Spark 1.1.

Updated July 23, 2026
Shared results
21
DeepSeek V4 Flash (High) only
17
Muse Spark 1.1 only
18
Comparable categories
3 / 8

Pick Muse Spark 1.1 if you want the stronger benchmark profile. DeepSeek V4 Flash (High) only becomes the better choice if coding is the priority.

Confidence note. This is a partial-evidence comparison with 21 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

Muse Spark 1.1 is clearly ahead on the BenchAlign aggregate, 77.44 to 53.95. 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 55.3. The single biggest benchmark swing on the page is HLE, 29.4% to 62.1%. DeepSeek V4 Flash (High) does hit back in coding, so the answer changes if that is the part of the workload you care about most.

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 Flash (High) and Muse Spark 1.1
CategoryDeepSeek V4 Flash (High)ΔMuse Spark 1.1
AgenticDeepSeek V4 Flash (High)55.3Margin→ 25.1Muse Spark 1.180.4
KnowledgeDeepSeek V4 Flash (High)52.1Margin→ 10.0Muse Spark 1.162.1
CodingDeepSeek V4 Flash (High)68.5Margin← 7.0Muse Spark 1.161.5
MathDeepSeek V4 Flash (High)91.9MarginNo overlapMuse Spark 1.1Not measured
MultimodalDeepSeek V4 Flash (High)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 Flash (High)B · Muse Spark 1.1

  1. HLE

    Knowledge
    Source ↗
    A 29.4%B 62.1%
    Winner: Muse Spark 1.1Δ 32.7
    HLE: DeepSeek V4 Flash (High) scored 29.4%; Muse Spark 1.1 scored 62.1%. Muse Spark 1.1 wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 56.6%B 80%
    Winner: Muse Spark 1.1Δ 23.4
    Terminal-Bench 2.0: DeepSeek V4 Flash (High) scored 56.6%; Muse Spark 1.1 scored 80%. Muse Spark 1.1 wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 52.3%B 61.5%
    Winner: Muse Spark 1.1Δ 9.2
    SWE-bench Pro: DeepSeek V4 Flash (High) scored 52.3%; 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 Flash (High)Muse Spark 1.1Comparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash (High)$0.14 input / $0.28 outputMuse Spark 1.1Not availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Flash (High)Not availableMuse Spark 1.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Flash (High)Not availableMuse Spark 1.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash (High)1MMuse Spark 1.11MListed context windows are equal.

Benchmark Deep Dive

AgenticMuse Spark 1.1 wins
BenchmarkDeepSeek V4 Flash (High)Muse Spark 1.1Result
Terminal-Bench 2.0Source 56.6%80%Muse Spark 1.1 leads
BrowseCompSource 53.5%—Not comparable
HLE w/ toolsSource 40.3%—Not comparable
MCP AtlasSource 67.4%88.1%Muse Spark 1.1 leads
ToolathlonSource 43.5%75.6%Muse Spark 1.1 leads
τ²-bench resultsSource 95.6%—Not comparable
AA Agentic IndexSource 28.2%37.5%Muse Spark 1.1 leads
GDPval-AASource 32.4%43.7%Muse Spark 1.1 leads
GDPval-AASource 11471374Muse 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 BriefcaseSource —863Not comparable
AA AutomationBenchSource —42.8%Not comparable
AA Harvey LABSource —93.1%Not comparable
AA Tau3 BankingSource —25.2%Not comparable
aaTerminalBench21Source —77.9%Not comparable
CodingDeepSeek V4 Flash (High) wins
BenchmarkDeepSeek V4 Flash (High)Muse Spark 1.1Result
CodeforcesSource 2816.0—Not comparable
SWE-bench VerifiedSource 78.6%—Not comparable
SWE-bench ProSource 52.3%61.5%Muse Spark 1.1 leads
SWE MultilingualSource 70.2%—Not comparable
Terminal-Bench 2.0Source 56.6%80.0%Muse Spark 1.1 leads
AA-SciCodeSource 42.0%58.2%Muse Spark 1.1 leads
AA Coding IndexSource 52.0%71.3%Muse Spark 1.1 leads
Reasoning
BenchmarkDeepSeek V4 Flash (High)Muse Spark 1.1Result
MRCR 1MSource 76.9%54.1%DeepSeek V4 Flash (High) leads
CorpusQA 1MSource 59.3%—Not comparable
AA-LCRSource 62.7%63.3%Muse Spark 1.1 leads
CritPtSource 3.4%15.1%Muse Spark 1.1 leads
KnowledgeMuse Spark 1.1 wins
BenchmarkDeepSeek V4 Flash (High)Muse Spark 1.1Result
MMLU-ProSource 86.4%—Not comparable
SimpleQASource 28.9%—Not comparable
Chinese-SimpleQASource 73.2%—Not comparable
GPQASource 87.4%—Not comparable
GPQA-DSource 87.4%—Not comparable
HLESource 29.4%62.1%Muse Spark 1.1 leads
Artificial Analysis Intelligence IndexSource 37.5%50.6%Muse Spark 1.1 leads
AA-GPQA DiamondSource 86.7%89.8%Muse Spark 1.1 leads
AA-HLESource 27.8%45.1%Muse Spark 1.1 leads
AA-Omniscience IndexSource -22.3%18.0%Muse Spark 1.1 leads
AA-Omniscience AccuracySource 35.5%40.6%Muse Spark 1.1 leads
AA-Omniscience Hallucination RateSource 89.7%38.1%Muse Spark 1.1 leads
HLE w/o toolsSource —52.2%Not comparable
HealthBench ProfessionalSource —59.3%Not comparable
Math
BenchmarkDeepSeek V4 Flash (High)Muse Spark 1.1Result
HMMT Feb 2026Source 91.9%—Not comparable
IMOAnswerBenchSource 85.1%—Not comparable
ApexSource 19.1%—Not comparable
Apex ShortlistSource 72.1%—Not comparable
Multimodal
BenchmarkDeepSeek V4 Flash (High)Muse Spark 1.1Result
Design Arena WebsiteSource 12381299Muse Spark 1.1 leads
CharXivSource —88.4%Not comparable
BabyVisionSource —76.3%Not comparable
Inst. Following
BenchmarkDeepSeek V4 Flash (High)Muse Spark 1.1Result
AA-IFBenchSource 73.5%—Not comparable
Frequently Asked Questions (4)

Which is better, DeepSeek V4 Flash (High) or Muse Spark 1.1?

Muse Spark 1.1 is ahead on BenchLM's BenchAlign leaderboard, 77.44 to 53.95. The biggest single separator in this matchup is HLE, where the scores are 29.4% and 62.1%.

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

Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 52.1. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, DeepSeek V4 Flash (High) or Muse Spark 1.1?

DeepSeek V4 Flash (High) has the edge for coding in this comparison, averaging 68.5 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 Flash (High) or Muse Spark 1.1?

Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 55.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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