Enter opens the highlighted result. Esc closes.

Muse Spark 1.1 vs Qwen3.5-122B-A10B

Muse Spark 1.1 leads Qwen3.5-122B-A10B on the Artificial Analysis Intelligence Index, 33.7 to 17.7, and Qwen3.5-122B-A10B costs 2.0x less per output token ($2.08 vs $4.25 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
47
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
0
vs boards won of 47 shared

Muse Spark 1.1 or Qwen3.5-122B-A10B: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-122B-A10B for output tokens 2.0x cheaper ($2.08 vs $4.25 per million).

Shared results
47
Muse Spark 1.1 only
57
Qwen3.5-122B-A10B only
4
Like-for-like categories
6 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, Qwen3.5-122B-A10B not benchmarked.
Widest category
Coding, 22.1 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Muse Spark 1.1 1540 against Qwen3.5-122B-A10B 1351, 31.4 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Qwen3.5-122B-A10B $2.08 per million output tokens, 2.0x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Qwen3.5-122B-A10B 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 1.1BarsQwen3.5-122B-A10BTies
Coding70
Intelligence10
Reasoning70
Math20
Knowledge40
General260
All shared boards470
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Muse Spark 1.1 and Qwen3.5-122B-A10B
BenchmarkMuse Spark 1.1Qwen3.5-122B-A10BLeader
LMArena WebDev15421361Muse Spark 1.1
AA Coding Index71.343.3Muse 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%39.7%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)Not measured31.1%Only Qwen3.5-122B-A10B measured
LMArena Text: coding14981436Muse Spark 1.1
LMArena Text: software and IT14981436Muse Spark 1.1
LMArena WebDev: React15321353Muse Spark 1.1
LMArena WebDev: HTML15401351Muse Spark 1.1
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 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.1 and Qwen3.5-122B-A10B
BenchmarkMuse Spark 1.1Qwen3.5-122B-A10BLeader
AA Intelligence Index33.717.7Muse Spark 1.1
Epoch Capabilities Index154.1Not measuredOnly Muse Spark 1.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Muse Spark 1.1 and Qwen3.5-122B-A10B
BenchmarkMuse Spark 1.1Qwen3.5-122B-A10BLeader
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 slides1145Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1134Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1021Not 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 measured93.6%Only Qwen3.5-122B-A10B 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 index70
Reasoning benchmarks for Muse Spark 1.1 and Qwen3.5-122B-A10B
BenchmarkMuse Spark 1.1Qwen3.5-122B-A10BLeader
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%85.7%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)46.2%25.2%Muse Spark 1.1
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts14851421Muse Spark 1.1
LMArena Text: expert14781431Muse Spark 1.1
LMArena Text: hard prompts in English14801431Muse Spark 1.1
LMArena Vision: diagrams13051249Muse Spark 1.1
LMArena Vision: homework12871261Muse Spark 1.1
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.1 and Qwen3.5-122B-A10B
BenchmarkMuse Spark 1.1Qwen3.5-122B-A10BLeader
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math14821431Muse Spark 1.1
LMArena Text: mathematical work14871431Muse Spark 1.1
MathArena42.5%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.1 and Qwen3.5-122B-A10B
BenchmarkMuse Spark 1.1Qwen3.5-122B-A10BLeader
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: science14841432Muse Spark 1.1
LMArena Text: medicine and healthcare14791423Muse Spark 1.1
LMArena Text: legal and government14811422Muse Spark 1.1
LMArena Text: business and finance14701414Muse Spark 1.1
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 Qwen3.5-122B-A10B
BenchmarkMuse Spark 1.1Qwen3.5-122B-A10BLeader
Design Arena: websites1270Not measuredOnly Muse Spark 1.1 measured
Design Arena: UI components1287Not 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: SVG1234Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1269Not 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 index260
General benchmarks for Muse Spark 1.1 and Qwen3.5-122B-A10B
BenchmarkMuse Spark 1.1Qwen3.5-122B-A10BLeader
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 measured75.7%Only Qwen3.5-122B-A10B measured
Long context reasoning (AA-LCR)77.7%76.3%Muse Spark 1.1
DTBench94.4%84.3%Muse Spark 1.1
LMCA49.9%32.2%Muse Spark 1.1
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text14781417Muse Spark 1.1
LMArena Text: instruction following14571399Muse Spark 1.1
LMArena Text: creative writing14351368Muse Spark 1.1
LMArena Vision12931244Muse Spark 1.1
LMArena Text: English14781428Muse Spark 1.1
LMArena Text: non-English14711401Muse Spark 1.1
LMArena Text: Chinese15151463Muse Spark 1.1
LMArena Text: German14691425Muse Spark 1.1
LMArena Text: Japanese14501367Muse Spark 1.1
LMArena Text: Korean14591353Muse Spark 1.1
LMArena Text: French14921443Muse Spark 1.1
LMArena Text: Spanish14641425Muse Spark 1.1
LMArena Text: Russian14821400Muse Spark 1.1
LMArena Text: Polish14991398Muse Spark 1.1
LMArena Text: multi-turn14841416Muse Spark 1.1
LMArena Text: longer queries14621410Muse Spark 1.1
LMArena Text: writing and language14481387Muse Spark 1.1
LMArena Text: entertainment and media14381366Muse Spark 1.1
LMArena Vision: English12921249Muse Spark 1.1
LMArena Vision: Chinese13481301Muse Spark 1.1
LMArena Vision: reading text13011251Muse Spark 1.1
LMArena Vision: humor12881243Muse Spark 1.1
LMArena Vision: creative writing12531220Muse Spark 1.1
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 Qwen3.5-122B-A10B
BenchmarkMuse Spark 1.1Qwen3.5-122B-A10BLeader
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
Qwen3.5-122B-A10B$0.0013Fits in one request

Qwen3.5-122B-A10B costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

Qwen3.5-122B-A10B costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Qwen3.5-122B-A10B$0.073Fits in one request

Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B
SpecificationMeta Muse Spark 1.1Qwen3.5-122B-A10B
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.26
Output $/Mtok$4.25$2.08
Coding index70.3Not benchmarked
Independent measurements behind it31
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Qwen3.5-122B-A10B for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding. Pick Qwen3.5-122B-A10B for output tokens 2.0x cheaper ($2.08 vs $4.25 per million).

Which is cheaper, Muse Spark 1.1 or Qwen3.5-122B-A10B?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Qwen3.5-122B-A10B?

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

How many benchmarks is the Muse Spark 1.1 vs Qwen3.5-122B-A10B comparison based on?

47 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 Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next