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Muse Spark 1.1 vs Qwen3.7 Max

Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Muse Spark 1.1Meta
Coding
48.9
Overall
33.7
Output $/M
$4.25
35
Qwen3.7 MaxQwen
Coding
45.1
Overall
29.5
Output $/M
$4.425
11
vs boards won of 46 shared

Decision reading

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 45.1 for Qwen3.7 Max.

Pick Qwen3.7 Max when what matters is LiveCodeBench (Vals AI) or Design Arena: agents building web apps, where it leads.

Shared results
46
Muse Spark 1.1 only
50
Qwen3.7 Max only
13
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Muse Spark 1.1 48.9 from 1 benchmark, Qwen3.7 Max 45.1 from 1 benchmark.
Widest category
Math, 13.0 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark 1.1 72.2% against Qwen3.7 Max 47.7%, 24.5 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Qwen3.7 Max $4.425 per million output tokens, 1.0x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Qwen3.7 Max 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryMuse Spark 1.1BarsQwen3.7 MaxTies
Coding91
Intelligence20
Agentic work84
Reasoning31
Math10
Knowledge41
Web design53
General31
All shared boards3511
CodingLike-for-likeFour of these boards feed the Vibe Coding Index91
Coding benchmarks for Muse Spark 1.1 and Qwen3.7 Max
BenchmarkMuse Spark 1.1Qwen3.7 MaxLeader
LMArena WebDev15421515Muse Spark 1.1
AA Coding Index71.366.0Muse Spark 1.1
LiveCodeBench (Vals AI)85.9%87.1%Qwen3.7 Max
SWE-bench Verified (Vals AI)82.0%68.8%Muse Spark 1.1
Vibe Code Bench (Vals AI)72.2%47.7%Muse Spark 1.1
Code migration (Vals AI)31.1%13.1%Muse Spark 1.1
ProgramBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)69.3%61.0%Muse Spark 1.1
SkillsBench (Vals AI)59.2%Not measuredOnly Muse Spark 1.1 measured
SciCode58.8%49.5%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only Qwen3.7 Max measured
ALE-BenchNot measured1189.4Only Qwen3.7 Max measured
LMArena Text: coding1498Not measuredOnly Muse Spark 1.1 measured
LMArena Text: software and IT1498Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: React15321514Muse Spark 1.1
LMArena WebDev: HTML15401512Muse Spark 1.1
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.1 and Qwen3.7 Max
BenchmarkMuse Spark 1.1Qwen3.7 MaxLeader
AA Intelligence Index33.729.5Muse Spark 1.1
Epoch Capabilities Index154.1154.0Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index84
Agentic work benchmarks for Muse Spark 1.1 and Qwen3.7 Max
BenchmarkMuse Spark 1.1Qwen3.7 MaxLeader
AA Agentic Index25.822.5Muse Spark 1.1
Design Arena: agents building web apps12071208Qwen3.7 Max
Design Arena: agents building full-stack apps11991191Muse Spark 1.1
Design Arena: agents building mobile apps11771153Muse Spark 1.1
Design Arena: agents building Android apps11841165Muse Spark 1.1
Design Arena: agents building Godot games11031187Qwen3.7 Max
Design Arena: agents building games11831161Muse Spark 1.1
Design Arena: HTML slides11941158Muse Spark 1.1
Design Arena: PowerPoint slides11561196Qwen3.7 Max
Design Arena: spreadsheets974Not measuredOnly Muse Spark 1.1 measured
Finance Agent (Vals AI)57.2%47.8%Muse Spark 1.1
Tax Agent Bench (Vals AI)Not measured15.8%Only Qwen3.7 Max measured
Legal Research Bench (Vals AI)38.0%25.5%Muse Spark 1.1
Excel Modeling Benchmark (Vals AI)56.4%57.0%Qwen3.7 Max
Time Horizon Index (Vals AI)1.7%Not measuredOnly Muse Spark 1.1 measured
τ²-Bench TelecomNot measured94.7%Only Qwen3.7 Max measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
Vending-Bench 2$6,520Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
Reasoning benchmarks for Muse Spark 1.1 and Qwen3.7 Max
BenchmarkMuse Spark 1.1Qwen3.7 MaxLeader
GPQA Diamond91.2%90.2%Muse Spark 1.1
MMMU Pro (Vals AI)86.6%Not measuredOnly Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)89.8%92.3%Qwen3.7 Max
Humanity's Last Exam (Artificial Analysis run)46.2%40.5%Muse Spark 1.1
GPQA Diamond (Epoch AI run)Not measured90.9%Only Qwen3.7 Max measured
SimpleBenchNot measured70.4%Only Qwen3.7 Max measured
Chess puzzles34.0%26.0%Muse Spark 1.1
Mystery game puzzlesNot measured32.0%Only Qwen3.7 Max measured
EBR-benchNot measured9.5%Only Qwen3.7 Max measured
LMArena Text: hard prompts1485Not measuredOnly Muse Spark 1.1 measured
LMArena Text: expert1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts in English1480Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: diagrams1305Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: homework1287Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Muse Spark 1.1 and Qwen3.7 Max
BenchmarkMuse Spark 1.1Qwen3.7 MaxLeader
OTIS Mock AIMENot measured95.6%Only Qwen3.7 Max measured
FrontierMath, tiers 1 to 3Not measured64.6%Only Qwen3.7 Max measured
FrontierMath, tier 4Not measured34.1%Only Qwen3.7 Max measured
ProofBench39.0%26.0%Muse Spark 1.1
LMArena Text: math1482Not measuredOnly Muse Spark 1.1 measured
LMArena Text: mathematical work1487Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Muse Spark 1.1 and Qwen3.7 Max
BenchmarkMuse Spark 1.1Qwen3.7 MaxLeader
MMLU Pro88.7%89.3%Qwen3.7 Max
LegalBench (Vals AI)85.0%84.9%Muse Spark 1.1
CorpFin (Vals AI)71.3%63.7%Muse Spark 1.1
TaxEval (Vals AI)79.7%75.3%Muse Spark 1.1
MortgageTax (Vals AI)66.1%Not measuredOnly Muse Spark 1.1 measured
MedCode (Vals AI)Not measured38.8%Only Qwen3.7 Max measured
SimpleQA Verified57.8%55.8%Muse Spark 1.1
LMArena Text: science1484Not measuredOnly Muse Spark 1.1 measured
LMArena Text: medicine and healthcare1479Not measuredOnly Muse Spark 1.1 measured
LMArena Text: legal and government1481Not measuredOnly Muse Spark 1.1 measured
LMArena Text: business and finance1470Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index53
Web design benchmarks for Muse Spark 1.1 and Qwen3.7 Max
BenchmarkMuse Spark 1.1Qwen3.7 MaxLeader
Design Arena: websites12701274Qwen3.7 Max
Design Arena: UI components12901269Muse Spark 1.1
Design Arena: game dev12691265Muse Spark 1.1
Design Arena: data viz12681275Qwen3.7 Max
Design Arena: 3D12601266Qwen3.7 Max
Design Arena: all code categories12761275Muse Spark 1.1
Design Arena: SVG12341216Muse Spark 1.1
Design Arena: ASCII art12701211Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index31
General benchmarks for Muse Spark 1.1 and Qwen3.7 Max
BenchmarkMuse Spark 1.1Qwen3.7 MaxLeader
Public Benefits Bench (Vals AI)61.3%Not measuredOnly Muse Spark 1.1 measured
SAGE (Vals AI)45.6%Not measuredOnly Muse Spark 1.1 measured
MedScribe (Vals AI)88.9%79.4%Muse Spark 1.1
Vals Multimodal Index66.7%Not measuredOnly Muse Spark 1.1 measured
IFBenchNot measured80.5%Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)77.7%79.0%Qwen3.7 Max
DTBench94.4%92.3%Muse Spark 1.1
LMCA49.9%44.0%Muse Spark 1.1
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: instruction following1457Not measuredOnly Muse Spark 1.1 measured
LMArena Text: creative writing1435Not measuredOnly Muse Spark 1.1 measured
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: non-English1471Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Chinese1515Not measuredOnly Muse Spark 1.1 measured
LMArena Text: German1469Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Japanese1450Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Korean1459Not measuredOnly Muse Spark 1.1 measured
LMArena Text: French1492Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Spanish1464Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Russian1482Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Polish1499Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn1484Not measuredOnly Muse Spark 1.1 measured
LMArena Text: longer queries1462Not measuredOnly Muse Spark 1.1 measured
LMArena Text: writing and language1448Not measuredOnly Muse Spark 1.1 measured
LMArena Text: entertainment and media1438Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: English1292Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: Chinese1348Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: reading text1301Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: humor1288Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: creative writing1253Not measuredOnly Muse Spark 1.1 measured
LMArena Document1465Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.1 and Qwen3.7 Max
BenchmarkMuse Spark 1.1Qwen3.7 MaxLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Muse Spark 1.1$0.0034Fits in one request
Qwen3.7 Max$0.0037Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Qwen3.7 Max$0.087Fits in one request

Muse Spark 1.1 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Qwen3.7 Max$0.339Fits in one request

Muse Spark 1.1 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Muse Spark 1.1 and Qwen3.7 Max
SpecificationMeta Muse Spark 1.1Qwen3.7 Max
MakerMetaQwen
WeightsNo public weights listedNo public weights listed
ReleasedJuly 16, 2026May 21, 2026
Context window1.05M1M
Input $/Mtok$1.25$1.475
Output $/Mtok$4.25$4.425
Coding index48.945.1
Independent measurements behind it11
Cost per solved task$0.43$4.69
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Qwen3.7 Max for coding?

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 45.1 for Qwen3.7 Max. Pick Qwen3.7 Max when what matters is LiveCodeBench (Vals AI) or Design Arena: agents building web apps, where it leads.

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

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Muse Spark 1.1 costs $0.43 and Qwen3.7 Max $4.69.

Which has the bigger context window, Muse Spark 1.1 or Qwen3.7 Max?

Muse Spark 1.1, with 1.05M tokens against 1M.

How many benchmarks is the Muse Spark 1.1 vs Qwen3.7 Max comparison based on?

46 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.1's coding index rests on 1 independent benchmark and Qwen3.7 Max's on 1. Where only one model has a result, the page says so instead of naming a winner.

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