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Muse Spark 1.1 vs Qwen3.6 35B A3B

Muse Spark 1.1 leads Qwen3.6 35B A3B on the Artificial Analysis Intelligence Index, 33.7 to 18.2, and Qwen3.6 35B A3B costs 4.3x less per output token ($1.00 vs $4.25 per million). Updated October 23, 2026; 11 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
11
Qwen3.6 35B A3BQwen
Coding
No data
Overall
45.0
Output $/M
$1.00
0
vs boards won of 11 shared

Muse Spark 1.1 or Qwen3.6 35B A3B: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Qwen3.6 35B A3B has none, so the two cannot be ranked on coding.

Pick Qwen3.6 35B A3B for output tokens 4.3x cheaper ($1.00 vs $4.25 per million).

Shared results
11
Muse Spark 1.1 only
93
Qwen3.6 35B A3B only
9
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, Qwen3.6 35B A3B not benchmarked.
Widest category
Coding, 25.8 points apart on average over 2 shared benchmarks.
Widest single gap
AA Coding Index: Muse Spark 1.1 71.3 against Qwen3.6 35B A3B 41.9, 29.4 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Qwen3.6 35B A3B $1.00 per million output tokens, 4.3x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Qwen3.6 35B A3B 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 1.1BarsQwen3.6 35B A3BTies
Coding20
Intelligence20
Agentic work10
Reasoning20
General40
All shared boards110
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.1 and Qwen3.6 35B A3B
BenchmarkMuse Spark 1.1Qwen3.6 35B A3BLeader
LMArena WebDev1543Not measuredOnly Muse Spark 1.1 measured
AA Coding Index71.341.9Muse Spark 1.1
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%36.6%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Qwen3.6 35B A3B measured
Terminal-BenchNot measured24.6%Only Qwen3.6 35B A3B measured
WeirdMLNot measured34.5%Only Qwen3.6 35B A3B measured
LMArena Text: coding1498Not measuredOnly Muse Spark 1.1 measured
LMArena Text: software and IT1498Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: React1532Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: HTML1539Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
SWE Atlas: Codebase QnA42.2%Not measuredOnly Muse Spark 1.1 measured
SWE Atlas: Test Writing41.5%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.1 and Qwen3.6 35B A3B
BenchmarkMuse Spark 1.1Qwen3.6 35B A3BLeader
AA Intelligence Index33.718.2Muse Spark 1.1
Epoch Capabilities Index154.1143.7Muse 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 Qwen3.6 35B A3B
BenchmarkMuse Spark 1.1Qwen3.6 35B A3BLeader
AA Agentic Index25.813.1Muse Spark 1.1
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 apps1173Not 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 slides1108Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1122Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1013Not 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 measured95.3%Only Qwen3.6 35B A3B measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
Vending-Bench 2$6,520Not measuredOnly Muse Spark 1.1 measured
MCP Atlas88.1%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Muse Spark 1.1 and Qwen3.6 35B A3B
BenchmarkMuse Spark 1.1Qwen3.6 35B A3BLeader
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%84.1%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)46.2%22.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)Not measured84.8%Only Qwen3.6 35B A3B measured
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
Mystery game puzzlesNot measured22.0%Only Qwen3.6 35B A3B measured
LMArena Text: hard prompts1485Not measuredOnly Muse Spark 1.1 measured
LMArena Text: expert1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts in English1480Not measuredOnly Muse Spark 1.1 measured
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
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Muse Spark 1.1 and Qwen3.6 35B A3B
BenchmarkMuse Spark 1.1Qwen3.6 35B A3BLeader
OTIS Mock AIMENot measured86.7%Only Qwen3.6 35B A3B measured
FrontierMath, tiers 1 to 3Not measured20.4%Only Qwen3.6 35B A3B measured
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math1481Not measuredOnly Muse Spark 1.1 measured
LMArena Text: mathematical work1485Not measuredOnly Muse Spark 1.1 measured
MathArena42.5%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Muse Spark 1.1 and Qwen3.6 35B A3B
BenchmarkMuse Spark 1.1Qwen3.6 35B A3BLeader
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: science1483Not measuredOnly Muse Spark 1.1 measured
LMArena Text: medicine and healthcare1480Not measuredOnly Muse Spark 1.1 measured
LMArena Text: legal and government1482Not measuredOnly Muse Spark 1.1 measured
LMArena Text: business and finance1470Not measuredOnly Muse Spark 1.1 measured
PRBench Finance55.0%Not measuredOnly Muse Spark 1.1 measured
PRBench Legal57.0%Not measuredOnly Muse Spark 1.1 measured
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 Qwen3.6 35B A3B
BenchmarkMuse Spark 1.1Qwen3.6 35B A3BLeader
Design Arena: websites1270Not measuredOnly Muse Spark 1.1 measured
Design Arena: UI components1286Not measuredOnly Muse Spark 1.1 measured
Design Arena: game dev1269Not measuredOnly Muse Spark 1.1 measured
Design Arena: data viz1267Not measuredOnly Muse Spark 1.1 measured
Design Arena: 3D1259Not measuredOnly Muse Spark 1.1 measured
Design Arena: all code categories1276Not measuredOnly Muse Spark 1.1 measured
Design Arena: SVG1233Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1267Not 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 index40
General benchmarks for Muse Spark 1.1 and Qwen3.6 35B A3B
BenchmarkMuse Spark 1.1Qwen3.6 35B A3BLeader
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 measured64.4%Only Qwen3.6 35B A3B measured
Long context reasoning (AA-LCR)77.7%71.7%Muse Spark 1.1
DTBench94.4%73.9%Muse Spark 1.1
LMCA49.9%29.7%Muse Spark 1.1
Surface Evolver Bench52.5%44.4%Muse Spark 1.1
LMArena Text1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: instruction following1456Not measuredOnly Muse Spark 1.1 measured
LMArena Text: creative writing1435Not measuredOnly Muse Spark 1.1 measured
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: non-English1471Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Chinese1515Not measuredOnly Muse Spark 1.1 measured
LMArena Text: German1469Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Japanese1450Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Korean1457Not measuredOnly Muse Spark 1.1 measured
LMArena Text: French1494Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Spanish1462Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Russian1481Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Polish1497Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn1484Not measuredOnly Muse Spark 1.1 measured
LMArena Text: longer queries1461Not measuredOnly Muse Spark 1.1 measured
LMArena Text: writing and language1447Not measuredOnly Muse Spark 1.1 measured
LMArena Text: entertainment and media1437Not measuredOnly Muse Spark 1.1 measured
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
MultiChallenge75.3%Not measuredOnly Muse Spark 1.1 measured
EQ-Bench 41260Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 13 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 Qwen3.6 35B A3B
BenchmarkMuse Spark 1.1Qwen3.6 35B A3BLeader
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
Qwen3.6 35B A3B$0.0006Fits in one request

Qwen3.6 35B A3B costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Qwen3.6 35B A3B$0.0080Fits in one request

Qwen3.6 35B A3B costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Qwen3.6 35B A3B$0.030Fits in one request

Qwen3.6 35B A3B 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 Qwen3.6 35B A3B
SpecificationMeta Muse Spark 1.1Qwen3.6 35B A3B
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026April 27, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.10
Output $/Mtok$4.25$1.00
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 Qwen3.6 35B A3B for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Qwen3.6 35B A3B has none, so the two cannot be ranked on coding. Pick Qwen3.6 35B A3B for output tokens 4.3x cheaper ($1.00 vs $4.25 per million).

Which is cheaper, Muse Spark 1.1 or Qwen3.6 35B A3B?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.6 35B A3B costs $0.10 and $1.00. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Qwen3.6 35B A3B?

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

How many benchmarks is the Muse Spark 1.1 vs Qwen3.6 35B A3B comparison based on?

11 benchmarks have a result for both models as of October 23, 2026. Muse Spark 1.1's coding index rests on 3 independent benchmarks and Qwen3.6 35B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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