Enter opens the highlighted result. Esc closes.

Muse Spark 1.3 vs Qwen3.5-27B

Muse Spark 1.3 leads Qwen3.5-27B on the Artificial Analysis Intelligence Index, 48.1 to 22.9, and Qwen3.5-27B costs 2.7x less per output token ($1.56 vs $4.25 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
47
Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
0
vs boards won of 47 shared

Muse Spark 1.3 or Qwen3.5-27B: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Qwen3.5-27B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-27B for output tokens 2.7x cheaper ($1.56 vs $4.25 per million).

Shared results
47
Muse Spark 1.3 only
49
Qwen3.5-27B only
7
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 1.3 57.4 from 4 benchmarks, Qwen3.5-27B not benchmarked.
Widest category
Coding, 32.1 points apart on average over 6 shared benchmarks.
Widest single gap
ALE-Bench: Muse Spark 1.3 1688.3 against Qwen3.5-27B 349.4, 44.6 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Qwen3.5-27B $1.56 per million output tokens, 2.7x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, Qwen3.5-27B 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 1.3BarsQwen3.5-27BTies
Coding60
Intelligence10
Reasoning70
Math30
Knowledge40
General260
All shared boards470
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Muse Spark 1.3 and Qwen3.5-27B
BenchmarkMuse Spark 1.3Qwen3.5-27BLeader
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev16591358Muse Spark 1.3
AA Coding Index75.8Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%Not measuredOnly Muse Spark 1.3 measured
Code migration (Vals AI)27.6%Not measuredOnly Muse Spark 1.3 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.3 measured
IOI (Vals AI)43.9%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)72.3%Not measuredOnly Muse Spark 1.3 measured
CyberBench (Vals AI)69.4%Not measuredOnly Muse Spark 1.3 measured
SciCode59.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured32.6%Only Qwen3.5-27B measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
WeirdMLNot measured39.5%Only Qwen3.5-27B measured
ALE-Bench1688.3349.4Muse Spark 1.3
LMArena Text: coding15101427Muse Spark 1.3
LMArena Text: software and IT15111431Muse Spark 1.3
LMArena WebDev: React16721346Muse Spark 1.3
LMArena WebDev: HTML16531386Muse Spark 1.3
LMArena WebDev: from an image1640Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.3 and Qwen3.5-27B
BenchmarkMuse Spark 1.3Qwen3.5-27BLeader
AA Intelligence Index48.122.9Muse Spark 1.3
Epoch Capabilities Index157.2Not measuredOnly Muse Spark 1.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Muse Spark 1.3 and Qwen3.5-27B
BenchmarkMuse Spark 1.3Qwen3.5-27BLeader
AA Agentic Index55.5Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building web apps1297Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building full-stack apps1295Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building mobile apps1217Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building Godot games1241Not measuredOnly Muse Spark 1.3 measured
Design Arena: PowerPoint slides1217Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1075Not measuredOnly Muse Spark 1.3 measured
LiveBench research68.6%Not measuredOnly Muse Spark 1.3 measured
LiveBench browser80.0%Not measuredOnly Muse Spark 1.3 measured
LiveBench long agentic40.4%Not measuredOnly Muse Spark 1.3 measured
Finance Agent (Vals AI)58.9%Not measuredOnly Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)36.0%Not measuredOnly Muse Spark 1.3 measured
Legal Research Bench (Vals AI)40.9%Not measuredOnly Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)62.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Muse Spark 1.3 measured
τ²-Bench TelecomNot measured93.9%Only Qwen3.5-27B measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
Vending-Bench 2Not measured$202Only Qwen3.5-27B 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 1.3 and Qwen3.5-27B
BenchmarkMuse Spark 1.3Qwen3.5-27BLeader
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%85.8%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%23.9%Muse Spark 1.3
Chess puzzles37.0%Not measuredOnly Muse Spark 1.3 measured
Mystery game puzzles25.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: hard prompts15031415Muse Spark 1.3
LMArena Text: expert15191427Muse Spark 1.3
LMArena Text: hard prompts in English15001429Muse Spark 1.3
LMArena Vision: diagrams13301249Muse Spark 1.3
LMArena Vision: homework12961256Muse Spark 1.3
Humanity's Last Exam (Scale run)25.4%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.3 and Qwen3.5-27B
BenchmarkMuse Spark 1.3Qwen3.5-27BLeader
OTIS Mock AIME99.2%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tiers 1 to 374.4%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tier 446.3%Not measuredOnly Muse Spark 1.3 measured
ProofBench58.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: math14971429Muse Spark 1.3
LMArena Text: mathematical work14911429Muse Spark 1.3
MathArena43.0%15.8%Muse Spark 1.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and Qwen3.5-27B
BenchmarkMuse Spark 1.3Qwen3.5-27BLeader
LMArena Text: science15071437Muse Spark 1.3
LMArena Text: medicine and healthcare14931425Muse Spark 1.3
LMArena Text: legal and government14991405Muse Spark 1.3
LMArena Text: business and finance14901399Muse Spark 1.3
PRBench Finance59.5%Not measuredOnly Muse Spark 1.3 measured
PRBench Legal61.6%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Muse Spark 1.3 and Qwen3.5-27B
BenchmarkMuse Spark 1.3Qwen3.5-27BLeader
Design Arena: websites1356Not measuredOnly Muse Spark 1.3 measured
Design Arena: UI components1350Not measuredOnly Muse Spark 1.3 measured
Design Arena: game dev1328Not measuredOnly Muse Spark 1.3 measured
Design Arena: data viz1344Not measuredOnly Muse Spark 1.3 measured
Design Arena: 3D1358Not measuredOnly Muse Spark 1.3 measured
Design Arena: all code categories1352Not measuredOnly Muse Spark 1.3 measured
Design Arena: SVG1301Not measuredOnly Muse Spark 1.3 measured
Design Arena: ASCII art1283Not measuredOnly Muse Spark 1.3 measured
LiveBench design74.8%Not measuredOnly Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
General benchmarks for Muse Spark 1.3 and Qwen3.5-27B
BenchmarkMuse Spark 1.3Qwen3.5-27BLeader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
IFBenchNot measured75.6%Only Qwen3.5-27B measured
Long context reasoning (AA-LCR)83.0%77.7%Muse Spark 1.3
DTBench96.5%82.4%Muse Spark 1.3
LMCA53.9%34.0%Muse Spark 1.3
LMArena Text14901409Muse Spark 1.3
LMArena Text: instruction following14791393Muse Spark 1.3
LMArena Text: creative writing14621362Muse Spark 1.3
LMArena Vision13081241Muse Spark 1.3
LMArena Text: English14951425Muse Spark 1.3
LMArena Text: non-English14811390Muse Spark 1.3
LMArena Text: Chinese15321478Muse Spark 1.3
LMArena Text: German15131392Muse Spark 1.3
LMArena Text: Japanese14701346Muse Spark 1.3
LMArena Text: Korean14901359Muse Spark 1.3
LMArena Text: French15111410Muse Spark 1.3
LMArena Text: Spanish14961407Muse Spark 1.3
LMArena Text: Russian14911390Muse Spark 1.3
LMArena Text: Polish14901375Muse Spark 1.3
LMArena Text: multi-turn14871410Muse Spark 1.3
LMArena Text: longer queries14881413Muse Spark 1.3
LMArena Text: writing and language14701380Muse Spark 1.3
LMArena Text: entertainment and media14571363Muse Spark 1.3
LMArena Vision: English12981246Muse Spark 1.3
LMArena Vision: Chinese13841301Muse Spark 1.3
LMArena Vision: reading text13191246Muse Spark 1.3
LMArena Vision: humor12931227Muse Spark 1.3
LMArena Vision: captioningNot measured1170Only Qwen3.5-27B measured
LMArena Vision: recognizing thingsNot measured1210Only Qwen3.5-27B measured
LMArena Vision: creative writing12961224Muse Spark 1.3
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.3 and Qwen3.5-27B
BenchmarkMuse Spark 1.3Qwen3.5-27BLeader
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 1.3$0.0034Fits in one request
Qwen3.5-27B$0.0010Fits in one request

Qwen3.5-27B costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Qwen3.5-27B$0.014Fits in one request

Qwen3.5-27B costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Qwen3.5-27B$0.055Fits in one request

Qwen3.5-27B 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 1.3 and Qwen3.5-27B
SpecificationMeta Muse Spark 1.3Qwen3.5-27B
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.195
Output $/Mtok$4.25$1.56
Coding index57.4Not benchmarked
Independent measurements behind it41
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Qwen3.5-27B for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Qwen3.5-27B has none, so the two cannot be ranked on coding. Pick Qwen3.5-27B for output tokens 2.7x cheaper ($1.56 vs $4.25 per million).

Which is cheaper, Muse Spark 1.3 or Qwen3.5-27B?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.5-27B costs $0.195 and $1.56. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark 1.3 or Qwen3.5-27B?

Muse Spark 1.3, with 1.05M tokens against 262K.

How many benchmarks is the Muse Spark 1.3 vs Qwen3.5-27B comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and Qwen3.5-27B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next