Enter opens the highlighted result. Esc closes.

Muse Spark 1.1 vs Qwen-Plus

Qwen-Plus costs 5.4x less per output token than Muse Spark 1.1 ($0.78 vs $4.25 per million). Updated October 22, 2026; 25 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
25
Qwen-PlusQwen
Coding
No data
Overall
No data
Output $/M
$0.78
0
vs boards won of 25 shared

Muse Spark 1.1 or Qwen-Plus: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 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
25
Muse Spark 1.1 only
71
Qwen-Plus only
3
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 1.1 70.3 from 3 benchmarks, Qwen-Plus not benchmarked.
Widest category
Coding, 27.1 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Muse Spark 1.1 1450 against Qwen-Plus 1251, 33.1 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Qwen-Plus $0.78 per million output tokens, 5.4x apart.
Context window
Muse Spark 1.1 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 1.1BarsQwen-PlusTies
Coding20
Reasoning30
Math20
Knowledge40
General140
All shared boards250
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.1 and Qwen-Plus
BenchmarkMuse Spark 1.1Qwen-PlusLeader
LMArena WebDev1542Not measuredOnly Muse Spark 1.1 measured
AA Coding Index71.3Not measuredOnly Muse Spark 1.1 measured
LiveCodeBench (Vals AI)85.9%Not measuredOnly Muse Spark 1.1 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Muse Spark 1.1 measured
Vibe Code Bench (Vals AI)72.2%Not measuredOnly Muse Spark 1.1 measured
Code migration (Vals AI)31.1%Not measuredOnly Muse Spark 1.1 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)69.3%Not measuredOnly Muse Spark 1.1 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Muse Spark 1.1 measured
SciCode58.8%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: coding14981328Muse Spark 1.1
LMArena Text: software and IT14981343Muse Spark 1.1
LMArena WebDev: React1532Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: HTML1540Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 24 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Spark 1.1 and Qwen-Plus
BenchmarkMuse Spark 1.1Qwen-PlusLeader
AA Intelligence Index33.7Not measuredOnly Muse Spark 1.1 measured
Epoch Capabilities Index154.1Not measuredOnly Muse Spark 1.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Muse Spark 1.1 and Qwen-Plus
BenchmarkMuse Spark 1.1Qwen-PlusLeader
AA Agentic Index25.8Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building web apps1207Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building full-stack apps1199Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building mobile apps1175Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Android apps1178Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Godot games1103Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building games1183Not measuredOnly Muse Spark 1.1 measured
Design Arena: HTML slides1195Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1155Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1042Not measuredOnly Muse Spark 1.1 measured
Finance Agent (Vals AI)57.2%Not measuredOnly Muse Spark 1.1 measured
Legal Research Bench (Vals AI)38.0%Not measuredOnly Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)56.4%Not measuredOnly Muse Spark 1.1 measured
Time Horizon Index (Vals AI)1.7%Not measuredOnly Muse Spark 1.1 measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
Vending-Bench 2$6,520Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Muse Spark 1.1 and Qwen-Plus
BenchmarkMuse Spark 1.1Qwen-PlusLeader
GPQA Diamond91.2%Not measuredOnly Muse Spark 1.1 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)89.8%Not measuredOnly Muse Spark 1.1 measured
Humanity's Last Exam (Artificial Analysis run)46.2%Not measuredOnly Muse Spark 1.1 measured
GPQA Diamond (Epoch AI run)Not measured48.1%Only Qwen-Plus measured
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts14851317Muse Spark 1.1
LMArena Text: expert14781328Muse Spark 1.1
LMArena Text: hard prompts in English14801333Muse Spark 1.1
LMArena Vision: diagrams1305Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: homework1287Not measuredOnly Muse Spark 1.1 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 1.1 and Qwen-Plus
BenchmarkMuse Spark 1.1Qwen-PlusLeader
OTIS Mock AIMENot measured17.8%Only Qwen-Plus measured
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
MATH level 5Not measured65.3%Only Qwen-Plus measured
LMArena Text: math14821326Muse Spark 1.1
LMArena Text: mathematical work14871332Muse Spark 1.1
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 1.1 and Qwen-Plus
BenchmarkMuse Spark 1.1Qwen-PlusLeader
MMLU Pro88.7%Not measuredOnly Muse Spark 1.1 measured
LegalBench (Vals AI)85.0%Not measuredOnly Muse Spark 1.1 measured
CorpFin (Vals AI)71.3%Not measuredOnly Muse Spark 1.1 measured
TaxEval (Vals AI)79.7%Not measuredOnly Muse Spark 1.1 measured
MortgageTax (Vals AI)66.1%Not measuredOnly Muse Spark 1.1 measured
SimpleQA Verified57.8%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: science14841352Muse Spark 1.1
LMArena Text: medicine and healthcare14791350Muse Spark 1.1
LMArena Text: legal and government14811349Muse Spark 1.1
LMArena Text: business and finance14701303Muse Spark 1.1
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Muse Spark 1.1 and Qwen-Plus
BenchmarkMuse Spark 1.1Qwen-PlusLeader
Design Arena: websites1270Not measuredOnly Muse Spark 1.1 measured
Design Arena: UI components1289Not measuredOnly Muse Spark 1.1 measured
Design Arena: game dev1269Not measuredOnly Muse Spark 1.1 measured
Design Arena: data viz1268Not measuredOnly Muse Spark 1.1 measured
Design Arena: 3D1260Not measuredOnly Muse Spark 1.1 measured
Design Arena: all code categories1276Not measuredOnly Muse Spark 1.1 measured
Design Arena: SVG1235Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1271Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index140
General benchmarks for Muse Spark 1.1 and Qwen-Plus
BenchmarkMuse Spark 1.1Qwen-PlusLeader
Public Benefits Bench (Vals AI)61.3%Not measuredOnly Muse Spark 1.1 measured
SAGE (Vals AI)45.6%Not measuredOnly Muse Spark 1.1 measured
MedScribe (Vals AI)88.9%Not measuredOnly Muse Spark 1.1 measured
Vals Multimodal Index66.7%Not measuredOnly Muse Spark 1.1 measured
Long context reasoning (AA-LCR)77.7%Not measuredOnly Muse Spark 1.1 measured
DTBench94.4%81.1%Muse Spark 1.1
LMCA49.9%24.0%Muse Spark 1.1
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text14781326Muse Spark 1.1
LMArena Text: instruction following14571303Muse Spark 1.1
LMArena Text: creative writing14351292Muse Spark 1.1
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English14781339Muse Spark 1.1
LMArena Text: non-English14711310Muse Spark 1.1
LMArena Text: Chinese15151347Muse Spark 1.1
LMArena Text: German1469Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Japanese14501251Muse Spark 1.1
LMArena Text: Korean1459Not measuredOnly Muse Spark 1.1 measured
LMArena Text: French1492Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Spanish1464Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Russian14821323Muse Spark 1.1
LMArena Text: Polish1499Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn14841336Muse Spark 1.1
LMArena Text: longer queries14621324Muse Spark 1.1
LMArena Text: writing and language14481296Muse Spark 1.1
LMArena Text: entertainment and media14381270Muse Spark 1.1
LMArena Vision: English1292Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: Chinese1348Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: reading text1301Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: humor1288Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: creative writing1253Not measuredOnly Muse Spark 1.1 measured
LMArena Document1465Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.1 and Qwen-Plus
BenchmarkMuse Spark 1.1Qwen-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 1.1$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 1.1$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 1.1$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 1.1 and Qwen-Plus
SpecificationMeta Muse Spark 1.1Qwen-Plus
MakerMetaQwen
WeightsNo public weights listedNo public weights listed
ReleasedJuly 16, 2026February 1, 2025
Context window1.05M1M
Input $/Mtok$1.25$0.26
Output $/Mtok$4.25$0.78
Coding index70.3Not benchmarked
Independent measurements behind it30
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Qwen-Plus for coding?

Only Muse Spark 1.1 has a coding score, 70.3 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 1.1 or Qwen-Plus?

Muse Spark 1.1 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 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Qwen-Plus?

Muse Spark 1.1, with 1.05M tokens against 1M.

How many benchmarks is the Muse Spark 1.1 vs Qwen-Plus comparison based on?

25 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.1's coding index rests on 3 independent benchmarks and Qwen-Plus's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next