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Model comparison

Muse Spark vs Qwen3.7 Max

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.

71.04/100
Margin
1.8pts
winning →
72.84/100
0 category wins5 category wins

Public leaderboard positions: Muse Spark #13 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Muse Spark and Qwen3.7 Max share 21 comparable benchmark results. 5 of 8 categories are comparable. 18 results are unique to Muse Spark; 37 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
21
Muse Spark only
18
Qwen3.7 Max only
37
Comparable categories
5 / 8

Pick Qwen3.7 Max if you want the stronger benchmark profile. Muse Spark only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.

Confidence note. This is a partial-evidence comparison with 21 shared benchmark results across 5 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3.7 Max has the cleaner BenchAlign overall profile here, landing at 72.84 versus 71.04. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Qwen3.7 Max's sharpest advantage is in mathematics, where it averages 97.1 against 32.9. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59% to 69.7%.

Qwen3.7 Max 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 Muse Spark and Qwen3.7 Max
CategoryMuse SparkΔQwen3.7 Max
MathMuse Spark32.9Margin→ 64.2Qwen3.7 Max97.1
ReasoningMuse Spark42.5Margin→ 47.9Qwen3.7 Max90.4
KnowledgeMuse Spark50.4Margin→ 13.8Qwen3.7 Max64.2
AgenticMuse Spark59.0Margin→ 10.7Qwen3.7 Max69.7
CodingMuse Spark67.8Margin→ 10.1Qwen3.7 Max77.9
MultilingualMuse SparkNot measuredMarginNo overlapQwen3.7 Max87.0
MultimodalMuse Spark82.5MarginNo overlapQwen3.7 MaxNot measured
Inst. FollowingMuse SparkNot measuredMarginNo overlapQwen3.7 Max84.4

Decisive benchmark drivers

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

More
A · Muse SparkB · Qwen3.7 Max

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 59%B 69.7%
    Winner: Qwen3.7 MaxΔ 10.7
    Terminal-Bench 2.0: Muse Spark scored 59%; Qwen3.7 Max scored 69.7%. Qwen3.7 Max wins this benchmark.

  2. HLE

    Knowledge
    Source ↗
    A 50.4%B 41.4%
    Winner: Muse SparkΔ 9
    HLE: Muse Spark scored 50.4%; Qwen3.7 Max scored 41.4%. Muse Spark wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 52.4%B 60.6%
    Winner: Qwen3.7 MaxΔ 8.2
    SWE-bench Pro: Muse Spark scored 52.4%; Qwen3.7 Max scored 60.6%. Qwen3.7 Max wins this benchmark.

  4. SWE-bench Verified

    Coding
    Source ↗
    A 77.4%B 80.4%
    Winner: Qwen3.7 MaxΔ 3
    SWE-bench Verified: Muse Spark scored 77.4%; Qwen3.7 Max scored 80.4%. Qwen3.7 Max wins this benchmark.

Operational comparison

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

MetricMuse SparkQwen3.7 MaxComparison
Input / output priceUSD per 1M tokensMuse SparkNot availableQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondMuse SparkNot availableQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMuse SparkNot availableQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensMuse Spark262KQwen3.7 Max1MQwen3.7 Max lists the larger context window.

Benchmark Deep Dive

AgenticQwen3.7 Max wins
BenchmarkMuse SparkQwen3.7 MaxResult
Terminal-Bench 2.0Source 59%69.7%Qwen3.7 Max leads
τ²-bench resultsSource 91.5%94.7%Qwen3.7 Max leads
DeepSearchQASource 74.8%—Not comparable
CyberGymSource 43.5%—Not comparable
Claw-EvalSource 63.8%65.2%Qwen3.7 Max leads
AA Agentic IndexSource 28.7%30.6%Qwen3.7 Max leads
GDPval-AASource 32.2%38.7%Qwen3.7 Max leads
GDPval-AASource 11441273Qwen3.7 Max leads
QwenClawBenchSource —64.3%Not comparable
QwenWebBenchSource —1568Not comparable
BFCL v4Source —75.0%Not comparable
MCP AtlasSource —76.4%Not comparable
VITA-BenchSource —47.9%Not comparable
HLE w/ toolsSource —53.5%Not comparable
Gert LabsSource —64.27%Not comparable
ResearchClawBenchSource —18.7%Not comparable
AA BriefcaseSource —908Not comparable
AA AutomationBenchSource —25.6%Not comparable
AA EnterpriseOps-GymSource —45.0%Not comparable
AA ITBenchSource —42.5%Not comparable
terminalBenchHardSource —50.8%Not comparable
aaTerminalBench21Source —74.5%Not comparable
AA Harvey LABSource —83.4%Not comparable
CodingQwen3.7 Max wins
BenchmarkMuse SparkQwen3.7 MaxResult
SWE-bench VerifiedSource 77.4%80.4%Qwen3.7 Max leads
SWE-bench ProSource 52.4%60.6%Qwen3.7 Max leads
LiveCodeBench ProSource 80.0%—Not comparable
Vibe Code BenchSource 19.67%—Not comparable
AA Coding IndexSource 58.6%66.0%Qwen3.7 Max leads
AA-SciCodeSource 51.5%48.8%Muse Spark leads
SWE MultilingualSource —78.3%Not comparable
NL2RepoSource —47.2%Not comparable
SciCodeSource —53.5%Not comparable
LiveCodeBenchSource —91.6%Not comparable
Terminal-Bench 2.0Source —69.7%Not comparable
ReasoningQwen3.7 Max wins
BenchmarkMuse SparkQwen3.7 MaxResult
ARC-AGI-2Source 42.5%—Not comparable
AA-LCRSource 69.7%69.0%Muse Spark leads
CritPtSource 11.3%13.4%Qwen3.7 Max leads
MRCRv2Source —90.4%Not comparable
KnowledgeQwen3.7 Max wins
BenchmarkMuse SparkQwen3.7 MaxResult
GPQA-DSource 89.5%92.4%Qwen3.7 Max leads
HLESource 50.4%41.4%Muse Spark leads
HLE w/o toolsSource 42.8%—Not comparable
HealthBench HardSource 42.8%—Not comparable
MedXpertQA (Text)Source 52.6%—Not comparable
Artificial Analysis Intelligence IndexSource 43.1%46.0%Qwen3.7 Max leads
AA-GPQA DiamondSource 88.4%92.3%Qwen3.7 Max leads
AA-HLESource 39.9%38.1%Muse Spark leads
AA-Omniscience IndexSource 4.1%14.1%Qwen3.7 Max leads
AA-Omniscience AccuracySource 44.6%30.1%Muse Spark leads
AA-Omniscience Hallucination RateSource 73.2%22.9%Qwen3.7 Max leads
GPQASource —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
MathQwen3.7 Max wins
BenchmarkMuse SparkQwen3.7 MaxResult
FrontierMath v2 (Tiers 1-3)Source 39.000%—Not comparable
FrontierMath v2 (Tier 4)Source 14.600%—Not comparable
HMMT Feb 2026Source —97.1%Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
Multilingual
BenchmarkMuse SparkQwen3.7 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 SparkQwen3.7 MaxResult
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
Design Arena WebsiteSource —1293Not comparable
Inst. Following
BenchmarkMuse SparkQwen3.7 MaxResult
AA-IFBenchSource 75.9%80.5%Qwen3.7 Max leads
IFEvalSource —94.3%Not comparable
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (6)

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

Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 71.04. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 59% and 69.7%.

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

Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 64.2 versus 50.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

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

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 67.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

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

Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 32.9. Muse Spark stays close enough that the answer can still flip depending on your workload.

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

Qwen3.7 Max has the edge for reasoning in this comparison, averaging 90.4 versus 42.5. Inside this category, CritPt is the benchmark that creates the most daylight between them.

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

Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 59. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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