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Muse Spark 1.3 vs Qwen3 32B

Updated October 21, 2026. 32 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
32
Qwen3 32BQwen
Coding
40.0
Overall
7.3
Output $/M
$0.28
0
vs boards won of 32 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 40.0 for Qwen3 32B.

Pick Qwen3 32B when output tokens cost 15.2x less.

Shared results
32
Muse Spark 1.3 only
60
Qwen3 32B only
10
Like-for-like categories
6 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 32B 40.0 from 1 benchmark.
Widest category
Intelligence, 32.1 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Muse Spark 1.3 83.0% against Qwen3 32B 0.0%, 83.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Qwen3 32B $0.28 per million output tokens, 15.2x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, Qwen3 32B 131K.

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 32BTies
Coding30
Intelligence20
Reasoning50
Math30
Knowledge40
General150
All shared boards320
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
Coding benchmarks for Muse Spark 1.3 and Qwen3 32B
BenchmarkMuse Spark 1.3Qwen3 32BLeader
Aider polyglotNot measured40.0%Only Qwen3 32B measured
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev1659Not measuredOnly Muse Spark 1.3 measured
AA Coding Index75.8Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%Not measuredOnly Muse Spark 1.3 measured
Code migration (Vals AI)27.6%Not measuredOnly Muse Spark 1.3 measured
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%Not measuredOnly Muse Spark 1.3 measured
CyberBench (Vals AI)69.4%Not measuredOnly Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)Not measured54.6%Only Qwen3 32B measured
SciCode59.7%36.0%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)Not measured3.0%Only Qwen3 32B measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3Not measuredOnly Muse Spark 1.3 measured
LMArena Text: coding15101357Muse Spark 1.3
LMArena Text: software and IT15111366Muse 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 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.3 and Qwen3 32B
BenchmarkMuse Spark 1.3Qwen3 32BLeader
AA Intelligence Index48.17.3Muse Spark 1.3
Epoch Capabilities Index157.2138.4Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for Muse Spark 1.3 and Qwen3 32B
BenchmarkMuse Spark 1.3Qwen3 32BLeader
AA Agentic Index55.5Not measuredOnly Muse Spark 1.3 measured
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 apps1217Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building Godot games1241Not measuredOnly Muse Spark 1.3 measured
Design Arena: PowerPoint slides1244Not measuredOnly Muse Spark 1.3 measured
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%Not measuredOnly Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)36.0%Not measuredOnly Muse Spark 1.3 measured
Legal Research Bench (Vals AI)40.9%Not measuredOnly Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)62.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Muse Spark 1.3 measured
τ²-Bench TelecomNot measured29.8%Only Qwen3 32B measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Muse Spark 1.3 and Qwen3 32B
BenchmarkMuse Spark 1.3Qwen3 32BLeader
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%66.8%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%7.4%Muse Spark 1.3
GPQA Diamond (Epoch AI run)Not measured65.7%Only Qwen3 32B measured
Chess puzzles37.0%Not measuredOnly Muse Spark 1.3 measured
Mystery game puzzles25.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: hard prompts15031334Muse Spark 1.3
LMArena Text: expert15191362Muse Spark 1.3
LMArena Text: hard prompts in English15001350Muse Spark 1.3
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 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.3 and Qwen3 32B
BenchmarkMuse Spark 1.3Qwen3 32BLeader
AA Math IndexNot measured73.0Only Qwen3 32B measured
AIME 2025 (Artificial Analysis run)Not measured73.0%Only Qwen3 32B measured
OTIS Mock AIME99.2%66.9%Muse Spark 1.3
FrontierMath, tiers 1 to 374.4%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tier 446.3%Not measuredOnly Muse Spark 1.3 measured
ProofBench58.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: math14971399Muse Spark 1.3
LMArena Text: mathematical work14911420Muse Spark 1.3
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and Qwen3 32B
BenchmarkMuse Spark 1.3Qwen3 32BLeader
MMLU Pro (Artificial Analysis run)Not measured79.8%Only Qwen3 32B measured
LMArena Text: science15071372Muse Spark 1.3
LMArena Text: medicine and healthcare14931368Muse Spark 1.3
LMArena Text: legal and government14991324Muse Spark 1.3
LMArena Text: business and finance14901318Muse Spark 1.3
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Muse Spark 1.3 and Qwen3 32B
BenchmarkMuse Spark 1.3Qwen3 32BLeader
Design Arena: websites1356Not measuredOnly Muse Spark 1.3 measured
Design Arena: UI components1352Not measuredOnly Muse Spark 1.3 measured
Design Arena: game dev1329Not measuredOnly Muse Spark 1.3 measured
Design Arena: data viz1343Not measuredOnly Muse Spark 1.3 measured
Design Arena: 3D1359Not measuredOnly Muse Spark 1.3 measured
Design Arena: all code categories1353Not measuredOnly Muse Spark 1.3 measured
Design Arena: SVG1300Not measuredOnly Muse Spark 1.3 measured
Design Arena: ASCII art1280Not measuredOnly Muse Spark 1.3 measured
LiveBench design74.8%Not measuredOnly Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for Muse Spark 1.3 and Qwen3 32B
BenchmarkMuse Spark 1.3Qwen3 32BLeader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
IFBenchNot measured36.3%Only Qwen3 32B measured
Long context reasoning (AA-LCR)83.0%0.0%Muse Spark 1.3
DTBench96.5%67.5%Muse Spark 1.3
LMCA53.9%17.3%Muse Spark 1.3
Fiction.LiveBenchNot measured74.2%Only Qwen3 32B measured
LMArena Text14901340Muse Spark 1.3
LMArena Text: instruction following14791305Muse Spark 1.3
LMArena Text: creative writing14621297Muse Spark 1.3
LMArena Vision1308Not measuredOnly Muse Spark 1.3 measured
LMArena Text: English14951359Muse Spark 1.3
LMArena Text: non-English14811317Muse Spark 1.3
LMArena Text: Chinese15321357Muse Spark 1.3
LMArena Text: German15131341Muse Spark 1.3
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: Russian14911311Muse Spark 1.3
LMArena Text: Polish1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: multi-turn14871331Muse Spark 1.3
LMArena Text: longer queries14881327Muse Spark 1.3
LMArena Text: writing and language14701298Muse Spark 1.3
LMArena Text: entertainment and media14571279Muse Spark 1.3
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 32B
BenchmarkMuse Spark 1.3Qwen3 32BLeader
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 32B$0.0002Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Qwen3 32B$0.0048Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Qwen3 32B$0.019Exceeds the context window

Qwen3 32B 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 32B
SpecificationMeta Muse Spark 1.3Qwen3 32B
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026April 28, 2025
Context window1.05M131K
Input $/Mtok$1.25$0.08
Output $/Mtok$4.25$0.28
Coding index79.740.0
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Qwen3 32B for coding?

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 40.0 for Qwen3 32B. Pick Qwen3 32B when output tokens cost 15.2x less.

Which is cheaper, Muse Spark 1.3 or Qwen3 32B?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3 32B costs $0.08 and $0.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark 1.3 or Qwen3 32B?

Muse Spark 1.3, with 1.05M tokens against 131K.

How many benchmarks is the Muse Spark 1.3 vs Qwen3 32B comparison based on?

32 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 32B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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