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Muse Spark 1.1 vs Qwen3.5 397B A17B

Updated October 21, 2026. 55 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Muse Spark 1.1 Replace Qwen3.5 397B A17B
Muse Spark 1.1Meta
Coding
48.9
Overall
33.7
Output $/M
$4.25
53
Qwen3.5 397B A17BQwen
Coding
28.6
Overall
21.4
Output $/M
$2.34
2
vs boards won of 55 shared

Decision reading

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 28.6 for Qwen3.5 397B A17B.

Pick Qwen3.5 397B A17B when output tokens cost 1.8x less, or when what matters is LMArena Vision: homework or LMArena Vision: creative writing, where it leads.

Model AMuse Spark 1.1Meta48.9/1001 independent benchmark$0.43 per solved taskModel BQwen3.5 397B A17BQwen28.6/1001 independent benchmarkNo cost per solved task
Shared results
55
Muse Spark 1.1 only
41
Qwen3.5 397B A17B only
10
Like-for-like categories
8 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 1.1 48.9 from 1 benchmark, Qwen3.5 397B A17B 28.6 from 1 benchmark.
Widest category
Coding, 15.2 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: Muse Spark 1.1 1532 against Qwen3.5 397B A17B 1388, 24.1 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Qwen3.5 397B A17B $2.34 per million output tokens, 1.8x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Qwen3.5 397B A17B 262K.

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 1.1BarsQwen3.5 397B A17BTies
Coding60
Intelligence20
Agentic work10
Reasoning61
Math20
Knowledge40
Web design70
General251
All shared boards532
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for Muse Spark 1.1 and Qwen3.5 397B A17B
BenchmarkMuse Spark 1.1Qwen3.5 397B A17BLeader
LMArena WebDev15421400Muse Spark 1.1
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%44.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)Not measured40.9%Only Qwen3.5 397B A17B measured
ALE-BenchNot measured621.9Only Qwen3.5 397B A17B measured
LMArena Text: coding14981464Muse Spark 1.1
LMArena Text: software and IT14981463Muse Spark 1.1
LMArena WebDev: React15321388Muse Spark 1.1
LMArena WebDev: HTML15401410Muse Spark 1.1
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.1 and Qwen3.5 397B A17B
BenchmarkMuse Spark 1.1Qwen3.5 397B A17BLeader
AA Intelligence Index33.721.4Muse Spark 1.1
Epoch Capabilities Index154.1146.8Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Muse Spark 1.1 and Qwen3.5 397B A17B
BenchmarkMuse Spark 1.1Qwen3.5 397B A17BLeader
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 apps1177Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Android apps1184Not 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 slides1194Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1156Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets974Not 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
τ²-Bench TelecomNot measured95.6%Only Qwen3.5 397B A17B measured
APEX-Agents31.8%24.9%Muse Spark 1.1
Vending-Bench 2$6,520Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index61
Reasoning benchmarks for Muse Spark 1.1 and Qwen3.5 397B A17B
BenchmarkMuse Spark 1.1Qwen3.5 397B A17BLeader
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%89.3%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)46.2%29.0%Muse Spark 1.1
GPQA Diamond (Epoch AI run)Not measured86.4%Only Qwen3.5 397B A17B measured
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
Mystery game puzzlesNot measured18.0%Only Qwen3.5 397B A17B measured
LMArena Text: hard prompts14851448Muse Spark 1.1
LMArena Text: expert14781462Muse Spark 1.1
LMArena Text: hard prompts in English14801450Muse Spark 1.1
LMArena Vision: diagrams13051277Muse Spark 1.1
LMArena Vision: homework12871292Qwen3.5 397B A17B
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.1 and Qwen3.5 397B A17B
BenchmarkMuse Spark 1.1Qwen3.5 397B A17BLeader
OTIS Mock AIMENot measured88.9%Only Qwen3.5 397B A17B measured
FrontierMath, tiers 1 to 3Not measured31.2%Only Qwen3.5 397B A17B measured
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math14821453Muse Spark 1.1
LMArena Text: mathematical work14871454Muse 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 Qwen3.5 397B A17B
BenchmarkMuse Spark 1.1Qwen3.5 397B A17BLeader
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: science14841457Muse Spark 1.1
LMArena Text: medicine and healthcare14791455Muse Spark 1.1
LMArena Text: legal and government14811441Muse Spark 1.1
LMArena Text: business and finance14701435Muse Spark 1.1
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Muse Spark 1.1 and Qwen3.5 397B A17B
BenchmarkMuse Spark 1.1Qwen3.5 397B A17BLeader
Design Arena: websites12701191Muse Spark 1.1
Design Arena: UI components12901163Muse Spark 1.1
Design Arena: game dev12691141Muse Spark 1.1
Design Arena: data viz12681175Muse Spark 1.1
Design Arena: 3D12601161Muse Spark 1.1
Design Arena: all code categories12761180Muse Spark 1.1
Design Arena: SVG12341139Muse Spark 1.1
Design Arena: ASCII art1270Not 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 index251
General benchmarks for Muse Spark 1.1 and Qwen3.5 397B A17B
BenchmarkMuse Spark 1.1Qwen3.5 397B A17BLeader
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
IFBenchNot measured78.8%Only Qwen3.5 397B A17B measured
Long context reasoning (AA-LCR)77.7%77.3%Muse Spark 1.1
DTBench94.4%87.5%Muse Spark 1.1
LMCA49.9%37.9%Muse Spark 1.1
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text14781437Muse Spark 1.1
LMArena Text: instruction following14571424Muse Spark 1.1
LMArena Text: creative writing14351402Muse Spark 1.1
LMArena Vision12931262Muse Spark 1.1
LMArena Text: English14781443Muse Spark 1.1
LMArena Text: non-English14711430Muse Spark 1.1
LMArena Text: Chinese15151498Muse Spark 1.1
LMArena Text: German14691445Muse Spark 1.1
LMArena Text: Japanese14501429Muse Spark 1.1
LMArena Text: Korean14591384Muse Spark 1.1
LMArena Text: French14921462Muse Spark 1.1
LMArena Text: Spanish14641441Muse Spark 1.1
LMArena Text: Russian14821430Muse Spark 1.1
LMArena Text: Polish14991447Muse Spark 1.1
LMArena Text: multi-turn14841446Muse Spark 1.1
LMArena Text: longer queries14621441Muse Spark 1.1
LMArena Text: writing and language14481415Muse Spark 1.1
LMArena Text: entertainment and media14381399Muse Spark 1.1
LMArena Vision: English12921268Muse Spark 1.1
LMArena Vision: Chinese13481314Muse Spark 1.1
LMArena Vision: reading text13011271Muse Spark 1.1
LMArena Vision: humor12881262Muse Spark 1.1
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing thingsNot measured1265Only Qwen3.5 397B A17B measured
LMArena Vision: creative writing12531260Qwen3.5 397B A17B
LMArena Document1465Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 11 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 Qwen3.5 397B A17B
BenchmarkMuse Spark 1.1Qwen3.5 397B A17BLeader
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
Qwen3.5 397B A17B$0.0016Fits in one request

Qwen3.5 397B A17B costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Qwen3.5 397B A17B costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Qwen3.5 397B A17B$0.101Fits in one request

Qwen3.5 397B A17B 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 Qwen3.5 397B A17B
SpecificationMeta Muse Spark 1.1Qwen3.5 397B A17B
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026February 16, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.39
Output $/Mtok$4.25$2.34
Coding index48.928.6
Independent measurements behind it11
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Qwen3.5 397B A17B for coding?

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 28.6 for Qwen3.5 397B A17B. Pick Qwen3.5 397B A17B when output tokens cost 1.8x less, or when what matters is LMArena Vision: homework or LMArena Vision: creative writing, where it leads.

Which is cheaper, Muse Spark 1.1 or Qwen3.5 397B A17B?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Qwen3.5 397B A17B?

Muse Spark 1.1, with 1.05M tokens against 262K.

How many benchmarks is the Muse Spark 1.1 vs Qwen3.5 397B A17B comparison based on?

55 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.1's coding index rests on 1 independent benchmark and Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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