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Muse Spark 1.3 vs Qwen3 14B

Muse Spark 1.3 leads Qwen3 14B on the Artificial Analysis Intelligence Index, 48.1 to 6.7, and Qwen3 14B costs 18.5x less per output token ($0.23 vs $4.25 per million). Updated October 22, 2026; 9 benchmarks have a result for both.

Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
9
Qwen3 14BQwen
Coding
No data
Overall
No data
Output $/M
$0.23
0
vs boards won of 9 shared

Muse Spark 1.3 or Qwen3 14B: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Qwen3 14B has none, so the two cannot be ranked on coding.

Pick Qwen3 14B for output tokens 18.5x cheaper ($0.23 vs $4.25 per million).

Shared results
9
Muse Spark 1.3 only
83
Qwen3 14B only
11
Like-for-like categories
5 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 14B not benchmarked.
Widest category
General, 50.4 points apart on average over 3 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Muse Spark 1.3 83.0% against Qwen3 14B 0.0%, 83.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Qwen3 14B $0.23 per million output tokens, 18.5x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, Qwen3 14B 41K.

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 14BTies
Coding10
Intelligence20
Reasoning20
Math10
General30
All shared boards90
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Muse Spark 1.3 and Qwen3 14B
BenchmarkMuse Spark 1.3Qwen3 14BLeader
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 measured52.3%Only Qwen3 14B measured
SciCode59.7%30.7%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)Not measured5.3%Only Qwen3 14B measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3Not measuredOnly Muse Spark 1.3 measured
LMArena Text: coding1510Not measuredOnly Muse Spark 1.3 measured
LMArena Text: software and IT1511Not measuredOnly Muse Spark 1.3 measured
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 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.3 and Qwen3 14B
BenchmarkMuse Spark 1.3Qwen3 14BLeader
AA Intelligence Index48.16.7Muse Spark 1.3
Epoch Capabilities Index157.2138.2Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Muse Spark 1.3 and Qwen3 14B
BenchmarkMuse Spark 1.3Qwen3 14BLeader
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 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%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 measured34.5%Only Qwen3 14B measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured41.0%Only Qwen3 14B measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Muse Spark 1.3 and Qwen3 14B
BenchmarkMuse Spark 1.3Qwen3 14BLeader
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%60.4%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%4.5%Muse Spark 1.3
GPQA Diamond (Epoch AI run)Not measured63.8%Only Qwen3 14B 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 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
Kagi LLM BenchmarkNot measured49.1%Only Qwen3 14B measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Muse Spark 1.3 and Qwen3 14B
BenchmarkMuse Spark 1.3Qwen3 14BLeader
AA Math IndexNot measured58.0Only Qwen3 14B measured
AIME 2025 (Artificial Analysis run)Not measured58.0%Only Qwen3 14B measured
OTIS Mock AIME99.2%66.4%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: 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 5 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Muse Spark 1.3 and Qwen3 14B
BenchmarkMuse Spark 1.3Qwen3 14BLeader
MMLU Pro (Artificial Analysis run)Not measured77.4%Only Qwen3 14B 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 13 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 14B
BenchmarkMuse Spark 1.3Qwen3 14BLeader
Design Arena: websites1356Not measuredOnly Muse Spark 1.3 measured
Design Arena: UI components1349Not measuredOnly Muse Spark 1.3 measured
Design Arena: game dev1328Not measuredOnly Muse Spark 1.3 measured
Design Arena: data viz1343Not measuredOnly Muse Spark 1.3 measured
Design Arena: 3D1358Not measuredOnly Muse Spark 1.3 measured
Design Arena: all code categories1352Not measuredOnly Muse Spark 1.3 measured
Design Arena: SVG1301Not measuredOnly Muse Spark 1.3 measured
Design Arena: ASCII art1278Not 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 index30
General benchmarks for Muse Spark 1.3 and Qwen3 14B
BenchmarkMuse Spark 1.3Qwen3 14BLeader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
IFBenchNot measured40.5%Only Qwen3 14B measured
Long context reasoning (AA-LCR)83.0%0.0%Muse Spark 1.3
DTBench96.5%64.0%Muse Spark 1.3
LMCA53.9%18.2%Muse Spark 1.3
Fiction.LiveBenchNot measured62.5%Only Qwen3 14B measured
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 14B
BenchmarkMuse Spark 1.3Qwen3 14BLeader
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 14B$0.0002Fits in one request

Qwen3 14B costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Qwen3 14B$0.0062Exceeds the context window

Qwen3 14B costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Qwen3 14B$0.024Exceeds the context window

Qwen3 14B 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 14B
SpecificationMeta Muse Spark 1.3Qwen3 14B
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026April 28, 2025
Context window1.05M41K
Input $/Mtok$1.25$0.11
Output $/Mtok$4.25$0.23
Coding index57.4Not benchmarked
Independent measurements behind it40
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Qwen3 14B for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Qwen3 14B has none, so the two cannot be ranked on coding. Pick Qwen3 14B for output tokens 18.5x cheaper ($0.23 vs $4.25 per million).

Which is cheaper, Muse Spark 1.3 or Qwen3 14B?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3 14B costs $0.11 and $0.23. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark 1.3 or Qwen3 14B?

Muse Spark 1.3, with 1.05M tokens against 41K.

How many benchmarks is the Muse Spark 1.3 vs Qwen3 14B comparison based on?

9 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 14B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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