LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

Muse Spark 1.3 vs Qwen3.7 Max

Updated October 21, 2026. 40 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
39
Qwen3.7 MaxQwen
Coding
45.1
Overall
29.5
Output $/M
$4.425
1
vs boards won of 40 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 45.1 for Qwen3.7 Max.

Pick Qwen3.7 Max when the benchmark that matters is Mystery game puzzles, where it leads.

Shared results
40
Muse Spark 1.3 only
52
Qwen3.7 Max only
19
Like-for-like categories
7 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 1.3 79.7 from 2 benchmarks, Qwen3.7 Max 45.1 from 1 benchmark.
Widest category
Coding, 16.4 points apart on average over 9 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark 1.3 82.9% against Qwen3.7 Max 47.7%, 35.2 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Qwen3.7 Max $4.425 per million output tokens, 1.0x apart.
Context window
Muse Spark 1.3 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 1.3BarsQwen3.7 MaxTies
Coding90
Intelligence20
Agentic work100
Reasoning31
Math40
Web design80
General30
All shared boards391
CodingLike-for-likeFour of these boards feed the Vibe Coding Index90
Coding benchmarks for Muse Spark 1.3 and Qwen3.7 Max
BenchmarkMuse Spark 1.3Qwen3.7 MaxLeader
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev16591515Muse Spark 1.3
AA Coding Index75.866.0Muse Spark 1.3
LiveCodeBench (Vals AI)Not measured87.1%Only Qwen3.7 Max measured
SWE-bench Verified (Vals AI)Not measured68.8%Only Qwen3.7 Max measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%47.7%Muse Spark 1.3
Code migration (Vals AI)27.6%13.1%Muse Spark 1.3
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.3 measured
IOI (Vals AI)43.9%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)72.3%61.0%Muse Spark 1.3
CyberBench (Vals AI)69.4%Not measuredOnly Muse Spark 1.3 measured
SciCode59.7%49.5%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only Qwen3.7 Max measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.31189.4Muse Spark 1.3
LMArena Text: coding1510Not measuredOnly Muse Spark 1.3 measured
LMArena Text: software and IT1511Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev: React16721514Muse Spark 1.3
LMArena WebDev: HTML16531512Muse Spark 1.3
LMArena WebDev: from an image1640Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.3 and Qwen3.7 Max
BenchmarkMuse Spark 1.3Qwen3.7 MaxLeader
AA Intelligence Index48.129.5Muse Spark 1.3
Epoch Capabilities Index157.2154.0Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index100
Agentic work benchmarks for Muse Spark 1.3 and Qwen3.7 Max
BenchmarkMuse Spark 1.3Qwen3.7 MaxLeader
AA Agentic Index55.522.5Muse Spark 1.3
Design Arena: agents building web apps12971208Muse Spark 1.3
Design Arena: agents building full-stack apps12951191Muse Spark 1.3
Design Arena: agents building mobile apps12171153Muse Spark 1.3
Design Arena: agents building Android appsNot measured1165Only Qwen3.7 Max measured
Design Arena: agents building Godot games12411187Muse Spark 1.3
Design Arena: agents building gamesNot measured1161Only Qwen3.7 Max measured
Design Arena: HTML slidesNot measured1158Only Qwen3.7 Max measured
Design Arena: PowerPoint slides12441196Muse Spark 1.3
Design Arena: spreadsheets1048Not measuredOnly Muse Spark 1.3 measured
LiveBench research68.6%Not measuredOnly Muse Spark 1.3 measured
LiveBench browser80.0%Not measuredOnly Muse Spark 1.3 measured
LiveBench long agentic40.4%Not measuredOnly Muse Spark 1.3 measured
Finance Agent (Vals AI)58.9%47.8%Muse Spark 1.3
Tax Agent Bench (Vals AI)36.0%15.8%Muse Spark 1.3
Legal Research Bench (Vals AI)40.9%25.5%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)62.7%57.0%Muse Spark 1.3
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Muse Spark 1.3 measured
τ²-Bench TelecomNot measured94.7%Only Qwen3.7 Max measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
Reasoning benchmarks for Muse Spark 1.3 and Qwen3.7 Max
BenchmarkMuse Spark 1.3Qwen3.7 MaxLeader
GPQA DiamondNot measured90.2%Only Qwen3.7 Max measured
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%92.3%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%40.5%Muse Spark 1.3
GPQA Diamond (Epoch AI run)Not measured90.9%Only Qwen3.7 Max measured
SimpleBenchNot measured70.4%Only Qwen3.7 Max measured
Chess puzzles37.0%26.0%Muse Spark 1.3
Mystery game puzzles25.0%32.0%Qwen3.7 Max
EBR-benchNot measured9.5%Only Qwen3.7 Max measured
LMArena Text: hard prompts1503Not measuredOnly Muse Spark 1.3 measured
LMArena Text: expert1519Not measuredOnly Muse Spark 1.3 measured
LMArena Text: hard prompts in English1500Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: diagrams1330Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: homework1296Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Muse Spark 1.3 and Qwen3.7 Max
BenchmarkMuse Spark 1.3Qwen3.7 MaxLeader
OTIS Mock AIME99.2%95.6%Muse Spark 1.3
FrontierMath, tiers 1 to 374.4%64.6%Muse Spark 1.3
FrontierMath, tier 446.3%34.1%Muse Spark 1.3
ProofBench58.0%26.0%Muse Spark 1.3
LMArena Text: math1497Not measuredOnly Muse Spark 1.3 measured
LMArena Text: mathematical work1491Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for Muse Spark 1.3 and Qwen3.7 Max
BenchmarkMuse Spark 1.3Qwen3.7 MaxLeader
MMLU ProNot measured89.3%Only Qwen3.7 Max measured
LegalBench (Vals AI)Not measured84.9%Only Qwen3.7 Max measured
CorpFin (Vals AI)Not measured63.7%Only Qwen3.7 Max measured
TaxEval (Vals AI)Not measured75.3%Only Qwen3.7 Max measured
MedCode (Vals AI)Not measured38.8%Only Qwen3.7 Max measured
SimpleQA VerifiedNot measured55.8%Only Qwen3.7 Max measured
LMArena Text: science1507Not measuredOnly Muse Spark 1.3 measured
LMArena Text: medicine and healthcare1493Not measuredOnly Muse Spark 1.3 measured
LMArena Text: legal and government1499Not measuredOnly Muse Spark 1.3 measured
LMArena Text: business and finance1490Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Muse Spark 1.3 and Qwen3.7 Max
BenchmarkMuse Spark 1.3Qwen3.7 MaxLeader
Design Arena: websites13561274Muse Spark 1.3
Design Arena: UI components13521269Muse Spark 1.3
Design Arena: game dev13291265Muse Spark 1.3
Design Arena: data viz13431275Muse Spark 1.3
Design Arena: 3D13591266Muse Spark 1.3
Design Arena: all code categories13531275Muse Spark 1.3
Design Arena: SVG13001216Muse Spark 1.3
Design Arena: ASCII art12801211Muse Spark 1.3
LiveBench design74.8%Not measuredOnly Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for Muse Spark 1.3 and Qwen3.7 Max
BenchmarkMuse Spark 1.3Qwen3.7 MaxLeader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
MedScribe (Vals AI)Not measured79.4%Only Qwen3.7 Max measured
IFBenchNot measured80.5%Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)83.0%79.0%Muse Spark 1.3
DTBench96.5%92.3%Muse Spark 1.3
LMCA53.9%44.0%Muse Spark 1.3
LMArena Text1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: instruction following1479Not measuredOnly Muse Spark 1.3 measured
LMArena Text: creative writing1462Not measuredOnly Muse Spark 1.3 measured
LMArena Vision1308Not measuredOnly Muse Spark 1.3 measured
LMArena Text: English1495Not measuredOnly Muse Spark 1.3 measured
LMArena Text: non-English1481Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Chinese1532Not measuredOnly Muse Spark 1.3 measured
LMArena Text: German1513Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Japanese1470Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Korean1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: French1511Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Spanish1496Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Russian1491Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Polish1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: multi-turn1487Not measuredOnly Muse Spark 1.3 measured
LMArena Text: longer queries1488Not measuredOnly Muse Spark 1.3 measured
LMArena Text: writing and language1470Not measuredOnly Muse Spark 1.3 measured
LMArena Text: entertainment and media1457Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: English1298Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: Chinese1384Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: reading text1319Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: humor1293Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: creative writing1296Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.3 and Qwen3.7 Max
BenchmarkMuse Spark 1.3Qwen3.7 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 1.3$0.0034Fits in one request
Qwen3.7 Max$0.0037Fits in one request

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Qwen3.7 Max$0.087Fits in one request

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Qwen3.7 Max$0.339Fits in one request

Muse Spark 1.3 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 1.3 and Qwen3.7 Max
SpecificationMeta Muse Spark 1.3Qwen3.7 Max
MakerMetaQwen
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026May 21, 2026
Context window1.05M1M
Input $/Mtok$1.25$1.475
Output $/Mtok$4.25$4.425
Coding index79.745.1
Independent measurements behind it21
Cost per solved taskNot computable$4.69
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Qwen3.7 Max for coding?

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 45.1 for Qwen3.7 Max. Pick Qwen3.7 Max when the benchmark that matters is Mystery game puzzles, where it leads.

Which is cheaper, Muse Spark 1.3 or Qwen3.7 Max?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Cost per solved task is known for Qwen3.7 Max only.

Which has the bigger context window, Muse Spark 1.3 or Qwen3.7 Max?

Muse Spark 1.3, with 1.05M tokens against 1M.

How many benchmarks is the Muse Spark 1.3 vs Qwen3.7 Max comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.3's coding index rests on 2 independent benchmarks and Qwen3.7 Max's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next