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Muse Spark 1.2 vs Qwen-Plus

Qwen-Plus costs 5.4x less per output token than Muse Spark 1.2 ($0.78 vs $4.25 per million). Updated October 22, 2026; 24 benchmarks have a result for both.

Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
24
Qwen-PlusQwen
Coding
No data
Overall
No data
Output $/M
$0.78
0
vs boards won of 24 shared

Muse Spark 1.2 or Qwen-Plus: which to pick

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Qwen-Plus has none, so the two cannot be ranked on coding.

Pick Qwen-Plus for output tokens 5.4x cheaper ($0.78 vs $4.25 per million).

Shared results
24
Muse Spark 1.2 only
73
Qwen-Plus only
4
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 1.2 55.7 from 5 benchmarks, Qwen-Plus not benchmarked.
Widest category
Coding, 28.3 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: business and finance: Muse Spark 1.2 1484 against Qwen-Plus 1303, 30.2 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against Qwen-Plus $0.78 per million output tokens, 5.4x apart.
Context window
Muse Spark 1.2 takes 1.05M tokens, Qwen-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 1.2BarsQwen-PlusTies
Coding20
Reasoning30
Math20
Knowledge40
General130
All shared boards240
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.2 and Qwen-Plus
BenchmarkMuse Spark 1.2Qwen-PlusLeader
LiveBench coding78.2%Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev1534Not measuredOnly Muse Spark 1.2 measured
AA Coding Index72.2Not measuredOnly Muse Spark 1.2 measured
SWE-bench Verified (Vals AI)86.6%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)79.1%Not measuredOnly Muse Spark 1.2 measured
Code migration (Vals AI)29.9%Not measuredOnly Muse Spark 1.2 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.2 measured
IOI (Vals AI)21.8%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)69.7%Not measuredOnly Muse Spark 1.2 measured
SkillsBench (Vals AI)53.0%Not measuredOnly Muse Spark 1.2 measured
CyberBench (Vals AI)69.5%Not measuredOnly Muse Spark 1.2 measured
SciCode57.4%Not measuredOnly Muse Spark 1.2 measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: coding15051328Muse Spark 1.2
LMArena Text: software and IT15051343Muse Spark 1.2
LMArena WebDev: React1526Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev: HTML1543Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 20 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Spark 1.2 and Qwen-Plus
BenchmarkMuse Spark 1.2Qwen-PlusLeader
AA Intelligence Index39.6Not measuredOnly Muse Spark 1.2 measured
Epoch Capabilities Index155.1Not measuredOnly Muse Spark 1.2 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Muse Spark 1.2 and Qwen-Plus
BenchmarkMuse Spark 1.2Qwen-PlusLeader
AA Agentic Index43.2Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building web apps1221Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building full-stack apps1210Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building mobile apps1181Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building Android apps1222Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building games1179Not measuredOnly Muse Spark 1.2 measured
Design Arena: HTML slides1085Not measuredOnly Muse Spark 1.2 measured
Design Arena: PowerPoint slides1172Not measuredOnly Muse Spark 1.2 measured
LiveBench research67.7%Not measuredOnly Muse Spark 1.2 measured
LiveBench browser36.0%Not measuredOnly Muse Spark 1.2 measured
LiveBench long agentic21.3%Not measuredOnly Muse Spark 1.2 measured
SREBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.2 measured
Finance Agent (Vals AI)60.6%Not measuredOnly Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)32.8%Not measuredOnly Muse Spark 1.2 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Muse Spark 1.2 measured
Excel Modeling Benchmark (Vals AI)57.0%Not measuredOnly Muse Spark 1.2 measured
BioMysteryBench (Vals AI)64.8%Not measuredOnly Muse Spark 1.2 measured
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Muse Spark 1.2 and Qwen-Plus
BenchmarkMuse Spark 1.2Qwen-PlusLeader
LiveBench reasoning90.0%Not measuredOnly Muse Spark 1.2 measured
MMMU Pro (Vals AI)86.1%Not measuredOnly Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)90.4%Not measuredOnly Muse Spark 1.2 measured
Humanity's Last Exam (Artificial Analysis run)45.5%Not measuredOnly Muse Spark 1.2 measured
GPQA Diamond (Epoch AI run)Not measured48.1%Only Qwen-Plus measured
SimpleBench74.5%Not measuredOnly Muse Spark 1.2 measured
Chess puzzles27.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts14891317Muse Spark 1.2
LMArena Text: expert14751328Muse Spark 1.2
LMArena Text: hard prompts in English14871333Muse Spark 1.2
LMArena Vision: diagrams1317Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.2 and Qwen-Plus
BenchmarkMuse Spark 1.2Qwen-PlusLeader
OTIS Mock AIMENot measured17.8%Only Qwen-Plus measured
ProofBench43.0%Not measuredOnly Muse Spark 1.2 measured
MATH level 5Not measured65.3%Only Qwen-Plus measured
LMArena Text: math14841326Muse Spark 1.2
LMArena Text: mathematical work14801332Muse Spark 1.2
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.2 and Qwen-Plus
BenchmarkMuse Spark 1.2Qwen-PlusLeader
MMLU Pro88.3%Not measuredOnly Muse Spark 1.2 measured
LegalBench (Vals AI)85.3%Not measuredOnly Muse Spark 1.2 measured
CorpFin (Vals AI)70.9%Not measuredOnly Muse Spark 1.2 measured
TaxEval (Vals AI)80.4%Not measuredOnly Muse Spark 1.2 measured
MortgageTax (Vals AI)65.4%Not measuredOnly Muse Spark 1.2 measured
MedCode (Vals AI)49.4%Not measuredOnly Muse Spark 1.2 measured
SimpleQA Verified60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: science15001352Muse Spark 1.2
LMArena Text: medicine and healthcare14961350Muse Spark 1.2
LMArena Text: legal and government15171349Muse Spark 1.2
LMArena Text: business and finance14841303Muse Spark 1.2
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Muse Spark 1.2 and Qwen-Plus
BenchmarkMuse Spark 1.2Qwen-PlusLeader
Design Arena: websites1312Not measuredOnly Muse Spark 1.2 measured
Design Arena: UI components1298Not measuredOnly Muse Spark 1.2 measured
Design Arena: game dev1301Not measuredOnly Muse Spark 1.2 measured
Design Arena: data viz1334Not measuredOnly Muse Spark 1.2 measured
Design Arena: 3D1301Not measuredOnly Muse Spark 1.2 measured
Design Arena: all code categories1312Not measuredOnly Muse Spark 1.2 measured
Design Arena: SVG1284Not measuredOnly Muse Spark 1.2 measured
Design Arena: ASCII art1284Not measuredOnly Muse Spark 1.2 measured
LiveBench design67.1%Not measuredOnly Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index130
General benchmarks for Muse Spark 1.2 and Qwen-Plus
BenchmarkMuse Spark 1.2Qwen-PlusLeader
LiveBench data analysis76.5%Not measuredOnly Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)68.5%Not measuredOnly Muse Spark 1.2 measured
SAGE (Vals AI)47.7%Not measuredOnly Muse Spark 1.2 measured
MedScribe (Vals AI)90.1%Not measuredOnly Muse Spark 1.2 measured
Vals Multimodal Index69.8%Not measuredOnly Muse Spark 1.2 measured
Long context reasoning (AA-LCR)79.0%Not measuredOnly Muse Spark 1.2 measured
DTBench94.7%81.1%Muse Spark 1.2
LMCA48.4%24.0%Muse Spark 1.2
LMArena Text14821326Muse Spark 1.2
LMArena Text: instruction following14621303Muse Spark 1.2
LMArena Text: creative writing14361292Muse Spark 1.2
LMArena Vision1304Not measuredOnly Muse Spark 1.2 measured
LMArena Text: English14831339Muse Spark 1.2
LMArena Text: non-English14761310Muse Spark 1.2
LMArena Text: Chinese15091347Muse Spark 1.2
LMArena Text: JapaneseNot measured1251Only Qwen-Plus measured
LMArena Text: Korean1462Not measuredOnly Muse Spark 1.2 measured
LMArena Text: French1495Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Spanish1484Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Russian14831323Muse Spark 1.2
LMArena Text: multi-turn15021336Muse Spark 1.2
LMArena Text: longer queries14731324Muse Spark 1.2
LMArena Text: writing and language14531296Muse Spark 1.2
LMArena Text: entertainment and media14431270Muse Spark 1.2
LMArena Vision: English1291Not measuredOnly Muse Spark 1.2 measured
LMArena Vision: reading text1313Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.2 and Qwen-Plus
BenchmarkMuse Spark 1.2Qwen-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 1.2$0.0034Fits in one request
Qwen-Plus$0.0006Fits in one request

Qwen-Plus costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.2$0.075Fits in one request
Qwen-Plus$0.015Fits in one request

Qwen-Plus costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.2$0.292Fits in one request
Qwen-Plus$0.060Fits in one request

Qwen-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 1.2 and Qwen-Plus
SpecificationMeta Muse Spark 1.2Qwen-Plus
MakerMetaQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2026February 1, 2025
Context window1.05M1M
Input $/Mtok$1.25$0.26
Output $/Mtok$4.25$0.78
Coding index55.7Not benchmarked
Independent measurements behind it50
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than Qwen-Plus for coding?

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Qwen-Plus has none, so the two cannot be ranked on coding. Pick Qwen-Plus for output tokens 5.4x cheaper ($0.78 vs $4.25 per million).

Which is cheaper, Muse Spark 1.2 or Qwen-Plus?

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen-Plus costs $0.26 and $0.78. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, Muse Spark 1.2 or Qwen-Plus?

Muse Spark 1.2, with 1.05M tokens against 1M.

How many benchmarks is the Muse Spark 1.2 vs Qwen-Plus comparison based on?

24 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.2's coding index rests on 5 independent benchmarks and Qwen-Plus's on 0. Where only one model has a result, the page says so instead of naming a winner.

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