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Model comparison

Muse Spark 1.1 vs Qwen3.7 Max

Data verified

Head-to-head evidence from 23 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

77.44/100
Margin
4.6pts
← winning
72.84/100
1 category wins2 category wins

Public leaderboard positions: Muse Spark 1.1 #6 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Muse Spark 1.1 and Qwen3.7 Max share 23 comparable benchmark results. 3 of 8 categories are comparable. 16 results are unique to Muse Spark 1.1; 35 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
23
Muse Spark 1.1 only
16
Qwen3.7 Max only
35
Comparable categories
3 / 8

Pick Muse Spark 1.1 if you want the stronger benchmark profile. Qwen3.7 Max only becomes the better choice if coding is the priority.

Confidence note. This is a partial-evidence comparison with 23 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 72.84. 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 69.7. The single biggest benchmark swing on the page is HLE, 62.1% to 41.4%. Qwen3.7 Max 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 Muse Spark 1.1 and Qwen3.7 Max
CategoryMuse Spark 1.1ΔQwen3.7 Max
CodingMuse Spark 1.161.5Margin→ 16.4Qwen3.7 Max77.9
AgenticMuse Spark 1.180.4Margin← 10.7Qwen3.7 Max69.7
KnowledgeMuse Spark 1.162.1Margin→ 2.1Qwen3.7 Max64.2
ReasoningMuse Spark 1.1Not measuredMarginNo overlapQwen3.7 Max90.4
MathMuse Spark 1.1Not measuredMarginNo overlapQwen3.7 Max97.1
MultilingualMuse Spark 1.1Not measuredMarginNo overlapQwen3.7 Max87.0
MultimodalMuse Spark 1.188.4MarginNo overlapQwen3.7 MaxNot measured
Inst. FollowingMuse Spark 1.1Not measuredMarginNo overlapQwen3.7 Max84.4

Decisive benchmark drivers

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

More
A · Muse Spark 1.1B · Qwen3.7 Max

  1. HLE

    Knowledge
    Source ↗
    A 62.1%B 41.4%
    Winner: Muse Spark 1.1Δ 20.7
    HLE: Muse Spark 1.1 scored 62.1%; Qwen3.7 Max scored 41.4%. Muse Spark 1.1 wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 80%B 69.7%
    Winner: Muse Spark 1.1Δ 10.3
    Terminal-Bench 2.0: Muse Spark 1.1 scored 80%; Qwen3.7 Max scored 69.7%. Muse Spark 1.1 wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 61.5%B 60.6%
    Winner: Muse Spark 1.1Δ 0.9
    SWE-bench Pro: Muse Spark 1.1 scored 61.5%; Qwen3.7 Max scored 60.6%. Muse Spark 1.1 wins this benchmark.

Operational comparison

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

MetricMuse Spark 1.1Qwen3.7 MaxComparison
Input / output priceUSD per 1M tokensMuse Spark 1.1Not availableQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondMuse Spark 1.1Not availableQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMuse Spark 1.1Not availableQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensMuse Spark 1.11MQwen3.7 Max1MListed context windows are equal.

Benchmark Deep Dive

AgenticMuse Spark 1.1 wins
BenchmarkMuse Spark 1.1Qwen3.7 MaxResult
Terminal-Bench 2.0Source 80%69.7%Muse Spark 1.1 leads
MCP AtlasSource 88.1%76.4%Muse Spark 1.1 leads
ToolathlonSource 75.6%—Not comparable
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 Agentic IndexSource 37.5%30.6%Muse Spark 1.1 leads
GDPval-AASource 43.7%38.7%Muse Spark 1.1 leads
GDPval-AASource 13741273Muse Spark 1.1 leads
AA BriefcaseSource 863908Qwen3.7 Max leads
AA AutomationBenchSource 42.8%25.6%Muse Spark 1.1 leads
AA Harvey LABSource 93.1%83.4%Muse Spark 1.1 leads
AA Tau3 BankingSource 25.2%—Not comparable
aaTerminalBench21Source 77.9%74.5%Muse Spark 1.1 leads
QwenClawBenchSource —64.3%Not comparable
QwenWebBenchSource —1568Not comparable
Claw-EvalSource —65.2%Not comparable
BFCL v4Source —75.0%Not comparable
VITA-BenchSource —47.9%Not comparable
HLE w/ toolsSource —53.5%Not comparable
τ²-bench resultsSource —94.7%Not comparable
Gert LabsSource —64.27%Not comparable
ResearchClawBenchSource —18.7%Not comparable
AA EnterpriseOps-GymSource —45.0%Not comparable
AA ITBenchSource —42.5%Not comparable
terminalBenchHardSource —50.8%Not comparable
CodingQwen3.7 Max wins
BenchmarkMuse Spark 1.1Qwen3.7 MaxResult
Terminal-Bench 2.0Source 80.0%69.7%Muse Spark 1.1 leads
SWE-bench ProSource 61.5%60.6%Muse Spark 1.1 leads
AA Coding IndexSource 71.3%66.0%Muse Spark 1.1 leads
AA-SciCodeSource 58.2%48.8%Muse Spark 1.1 leads
SWE-bench VerifiedSource —80.4%Not comparable
SWE MultilingualSource —78.3%Not comparable
NL2RepoSource —47.2%Not comparable
SciCodeSource —53.5%Not comparable
LiveCodeBenchSource —91.6%Not comparable
Reasoning
BenchmarkMuse Spark 1.1Qwen3.7 MaxResult
MRCR 1MSource 54.1%—Not comparable
AA-LCRSource 63.3%69.0%Qwen3.7 Max leads
CritPtSource 15.1%13.4%Muse Spark 1.1 leads
MRCRv2Source —90.4%Not comparable
KnowledgeQwen3.7 Max wins
BenchmarkMuse Spark 1.1Qwen3.7 MaxResult
HLESource 62.1%41.4%Muse Spark 1.1 leads
HLE w/o toolsSource 52.2%—Not comparable
HealthBench ProfessionalSource 59.3%—Not comparable
Artificial Analysis Intelligence IndexSource 50.6%46.0%Muse Spark 1.1 leads
AA-GPQA DiamondSource 89.8%92.3%Qwen3.7 Max leads
AA-HLESource 45.1%38.1%Muse Spark 1.1 leads
AA-Omniscience IndexSource 18.0%14.1%Muse Spark 1.1 leads
AA-Omniscience AccuracySource 40.6%30.1%Muse Spark 1.1 leads
AA-Omniscience Hallucination RateSource 38.1%22.9%Qwen3.7 Max leads
GPQASource —92.4%Not comparable
GPQA-DSource —92.4%Not comparable
MMLU-ProSource —89.6%Not comparable
MMLU-ReduxSource —95%Not comparable
SuperGPQASource —73.6%Not comparable
MMMLUSource —90.3%Not comparable
Math
BenchmarkMuse Spark 1.1Qwen3.7 MaxResult
HMMT Feb 2026Source —97.1%Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
Multilingual
BenchmarkMuse Spark 1.1Qwen3.7 MaxResult
MMLU-ProXSource —87%Not comparable
NOVA-63Source —59.0%Not comparable
INCLUDESource —86.2%Not comparable
MAXIFESource —89.2%Not comparable
PolyMathSource —86.5%Not comparable
Multimodal
BenchmarkMuse Spark 1.1Qwen3.7 MaxResult
CharXivSource 88.4%—Not comparable
BabyVisionSource 76.3%—Not comparable
Design Arena WebsiteSource 12991293Muse Spark 1.1 leads
Inst. Following
BenchmarkMuse Spark 1.1Qwen3.7 MaxResult
IFEvalSource —94.3%Not comparable
IFBenchSource —79.1%Not comparable
AA-IFBenchSource —80.5%Not comparable
Frequently Asked Questions (4)

Which is better, Muse Spark 1.1 or Qwen3.7 Max?

Muse Spark 1.1 is ahead on BenchLM's BenchAlign leaderboard, 77.44 to 72.84. The biggest single separator in this matchup is HLE, where the scores are 62.1% and 41.4%.

Which is better for knowledge tasks, Muse Spark 1.1 or Qwen3.7 Max?

Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 64.2 versus 62.1. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for coding, Muse Spark 1.1 or Qwen3.7 Max?

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 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, Muse Spark 1.1 or Qwen3.7 Max?

Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 69.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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