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Muse Spark 1.3 vs Qwen3.7 Plus

Muse Spark 1.3 leads Qwen3.7 Plus on coding, 57.4 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 3.3x less per output token ($1.28 vs $4.25 per million). Updated October 22, 2026; 64 benchmarks have a result for both.

Replace Muse Spark 1.3 Replace Qwen3.7 Plus
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
64
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
0
vs boards won of 64 shared

Muse Spark 1.3 or Qwen3.7 Plus: which to pick

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus for output tokens 3.3x cheaper ($1.28 vs $4.25 per million).

Model AMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
64
Muse Spark 1.3 only
28
Qwen3.7 Plus only
11
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 57.4 from 4 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Agentic work, 24.4 points apart on average over 5 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Muse Spark 1.3 74.4% against Qwen3.7 Plus 34.4%, 40.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Qwen3.7 Plus $1.28 per million output tokens, 3.3x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, Qwen3.7 Plus 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 PlusTies
Coding70
Intelligence20
Agentic work50
Reasoning80
Math40
Knowledge40
Web design80
General260
All shared boards640
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Muse Spark 1.3 and Qwen3.7 Plus
BenchmarkMuse Spark 1.3Qwen3.7 PlusLeader
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev1659Not measuredOnly Muse Spark 1.3 measured
AA Coding Index75.855.9Muse Spark 1.3
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%46.4%Muse Spark 1.3
Code migration (Vals AI)27.6%12.9%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%52.8%Muse Spark 1.3
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
CyberBench (Vals AI)69.4%Not measuredOnly Muse Spark 1.3 measured
SciCode59.7%46.1%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3Not measuredOnly Muse Spark 1.3 measured
LMArena Text: coding15101473Muse Spark 1.3
LMArena Text: software and IT15111473Muse Spark 1.3
LMArena WebDev: React1672Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev: HTML1653Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev: from an image1640Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.3 and Qwen3.7 Plus
BenchmarkMuse Spark 1.3Qwen3.7 PlusLeader
AA Intelligence Index48.125.2Muse Spark 1.3
Epoch Capabilities Index157.2147.0Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Muse Spark 1.3 and Qwen3.7 Plus
BenchmarkMuse Spark 1.3Qwen3.7 PlusLeader
AA Agentic Index55.517.5Muse Spark 1.3
Design Arena: agents building web apps1297Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building full-stack apps1295Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building mobile apps1218Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building Godot games1241Not measuredOnly Muse Spark 1.3 measured
Design Arena: PowerPoint slides1219Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1062Not 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%38.2%Muse Spark 1.3
Tax Agent Bench (Vals AI)36.0%10.5%Muse Spark 1.3
Legal Research Bench (Vals AI)40.9%16.4%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)62.7%49.3%Muse Spark 1.3
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Muse Spark 1.3 measured
τ²-Bench TelecomNot measured93.0%Only Qwen3.7 Plus measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Muse Spark 1.3 and Qwen3.7 Plus
BenchmarkMuse Spark 1.3Qwen3.7 PlusLeader
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%90.0%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%35.6%Muse Spark 1.3
GPQA Diamond (Epoch AI run)Not measured87.9%Only Qwen3.7 Plus measured
Chess puzzles37.0%Not measuredOnly Muse Spark 1.3 measured
Mystery game puzzles25.0%17.0%Muse Spark 1.3
LMArena Text: hard prompts15031460Muse Spark 1.3
LMArena Text: expert15191466Muse Spark 1.3
LMArena Text: hard prompts in English15001460Muse Spark 1.3
LMArena Vision: diagrams13301292Muse Spark 1.3
LMArena Vision: homework12961295Muse Spark 1.3
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Muse Spark 1.3 and Qwen3.7 Plus
BenchmarkMuse Spark 1.3Qwen3.7 PlusLeader
OTIS Mock AIME99.2%93.3%Muse Spark 1.3
FrontierMath, tiers 1 to 374.4%34.4%Muse Spark 1.3
FrontierMath, tier 446.3%Not measuredOnly Muse Spark 1.3 measured
ProofBench58.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: math14971467Muse Spark 1.3
LMArena Text: mathematical work14911470Muse Spark 1.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and Qwen3.7 Plus
BenchmarkMuse Spark 1.3Qwen3.7 PlusLeader
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
LMArena Text: science15071464Muse Spark 1.3
LMArena Text: medicine and healthcare14931464Muse Spark 1.3
LMArena Text: legal and government14991451Muse Spark 1.3
LMArena Text: business and finance14901435Muse Spark 1.3
Neither model has a result on the other 13 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 Plus
BenchmarkMuse Spark 1.3Qwen3.7 PlusLeader
Design Arena: websites13561269Muse Spark 1.3
Design Arena: UI components13491258Muse Spark 1.3
Design Arena: game dev13281261Muse Spark 1.3
Design Arena: data viz13431276Muse Spark 1.3
Design Arena: 3D13581238Muse Spark 1.3
Design Arena: all code categories13521269Muse Spark 1.3
Design Arena: SVG13011208Muse Spark 1.3
Design Arena: ASCII art12781143Muse Spark 1.3
LiveBench design74.8%Not measuredOnly Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
General benchmarks for Muse Spark 1.3 and Qwen3.7 Plus
BenchmarkMuse Spark 1.3Qwen3.7 PlusLeader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)83.0%73.0%Muse Spark 1.3
DTBench96.5%84.0%Muse Spark 1.3
LMCA53.9%37.6%Muse Spark 1.3
LMArena Text14901454Muse Spark 1.3
LMArena Text: instruction following14791439Muse Spark 1.3
LMArena Text: creative writing14621438Muse Spark 1.3
LMArena Vision13081278Muse Spark 1.3
LMArena Text: English14951458Muse Spark 1.3
LMArena Text: non-English14811445Muse Spark 1.3
LMArena Text: Chinese15321509Muse Spark 1.3
LMArena Text: German15131471Muse Spark 1.3
LMArena Text: Japanese14701412Muse Spark 1.3
LMArena Text: Korean14901413Muse Spark 1.3
LMArena Text: French15111472Muse Spark 1.3
LMArena Text: Spanish14961457Muse Spark 1.3
LMArena Text: Russian14911457Muse Spark 1.3
LMArena Text: Polish14901449Muse Spark 1.3
LMArena Text: multi-turn14871459Muse Spark 1.3
LMArena Text: longer queries14881454Muse Spark 1.3
LMArena Text: writing and language14701437Muse Spark 1.3
LMArena Text: entertainment and media14571422Muse Spark 1.3
LMArena Vision: English12981280Muse Spark 1.3
LMArena Vision: Chinese13841332Muse Spark 1.3
LMArena Vision: reading text13191288Muse Spark 1.3
LMArena Vision: humor12931261Muse Spark 1.3
LMArena Vision: creative writing12961258Muse Spark 1.3
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 15 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 Plus
BenchmarkMuse Spark 1.3Qwen3.7 PlusLeader
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 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 Plus 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 Plus
SpecificationMeta Muse Spark 1.3Qwen3.7 Plus
MakerMetaQwen
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026June 3, 2026
Context window1.05M1M
Input $/Mtok$1.25$0.32
Output $/Mtok$4.25$1.28
Coding index57.433.2
Independent measurements behind it42
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 3.3x cheaper ($1.28 vs $4.25 per million).

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

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.

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

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

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

64 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/meta-muse-spark-1-3-vs-qwen3-7-plus">LLMBenchmark.ai, Muse Spark 1.3 vs Qwen3.7 Plus</a></p>