Model comparison

Muse Spark vs Qwen3.5 27B

Muse Spark is the stronger model overall, scoring 50.6 to 41.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

Muse Spark Meta

50.6

Rank #46 Confirmed

Qwen3.5 27B Alibaba (Qwen)

41.9

Rank #127 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Muse Spark scores higher in 9 categories and Qwen3.5 27B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark leads 65.7 to 38.0.
  • Qwen3.5 27B has downloadable open weights; the other is API-only.

Side by side

Muse Spark and Qwen3.5 27B specifications
Muse SparkQwen3.5 27B
ProviderMetaAlibaba (Qwen)
Noometry Index50.641.9
Released2026-04-082026-02-23
WeightsProprietaryOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.30
Output $ / M tokens—$2.40
Results tracked2728

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Category by category

Coding Muse Spark leads

Muse Spark: 46.2 (#69), Qwen3.5 27B: 38.9 (#168)

Coding benchmarks
BenchmarkMuse SparkQwen3.5 27B
LMArena Coding14811427
LMArena WebDev—1358
SciCode51.5%—
WeirdML—39.5%
ALE-Bench—349.45

Agentic & Tool Use Not comparable

Muse Spark: —, Qwen3.5 27B: —

Agentic & Tool Use benchmarks
BenchmarkMuse SparkQwen3.5 27B
Vending-Bench 2—201.98

Reasoning Muse Spark leads

Muse Spark: 35.9 (#67), Qwen3.5 27B: 27.5 (#117)

Reasoning benchmarks
BenchmarkMuse SparkQwen3.5 27B
LMArena Hard Prompts14741414
NYT Connections (extended)—47.9%
CritPt11.3%—
Thematic Generalization—45.5%
DTBench—82.4%
LMCA—34%
Epoch Capabilities Index152.04—

Math Muse Spark leads

Muse Spark: 47.8 (#66), Qwen3.5 27B: 38.8 (#127)

Math benchmarks
BenchmarkMuse SparkQwen3.5 27B
LMArena Math14551429
MathArena Final-Answer Competitions—56.7%
OTIS Mock AIME 2024-202588.9%—
ProofBench17%—
FrontierMath (Feb 2025 set)39%—
FrontierMath Tier 4 (v1)14.6%—

Knowledge Muse Spark leads

Muse Spark: 65.7 (#13), Qwen3.5 27B: 38.0 (#150)

Knowledge benchmarks
BenchmarkMuse SparkQwen3.5 27B
LMArena Expert14571428
GPQA Diamond89.8%—
Humanity's Last Exam40.6%—
Vectara Hallucination Rate—12.1%

Multimodal Muse Spark leads

Muse Spark: 43.4 (#24), Qwen3.5 27B: 39.4 (#59)

Multimodal benchmarks
BenchmarkMuse SparkQwen3.5 27B
LMArena Vision13061241
LMArena Document1444—

Multilingual Muse Spark leads

Muse Spark: 56.1 (#24), Qwen3.5 27B: 50.8 (#115)

Multilingual benchmarks
BenchmarkMuse SparkQwen3.5 27B
LMArena Non-English14641390
LMArena Chinese15091478
LMArena French14971410
LMArena German14971393
LMArena Korean14591358
LMArena Russian14661390
LMArena Spanish14721407
LMArena Japanese—1345

Instruction Following Muse Spark leads

Muse Spark: 75.9 (#51), Qwen3.5 27B: 73.5 (#119)

Instruction Following benchmarks
BenchmarkMuse SparkQwen3.5 27B
LMArena Instruction Following14421393

Long Context Muse Spark leads

Muse Spark: 44.4 (#69), Qwen3.5 27B: 43.1 (#106)

Long Context benchmarks
BenchmarkMuse SparkQwen3.5 27B
LMArena Longer Query14511413

Writing & Preference Muse Spark leads

Muse Spark: 66.0 (#39), Qwen3.5 27B: 59.3 (#111)

Writing & Preference benchmarks
BenchmarkMuse SparkQwen3.5 27B
LMArena Text14741409
LMArena Creative Writing14591362
LMArena Multi-Turn14771410

Frequently asked questions

Is Muse Spark better than Qwen3.5 27B?

Muse Spark is the stronger model overall, scoring 50.6 to 41.9 on the Noometry Index.

Is Muse Spark or Qwen3.5 27B better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 38.9 in the Noometry coding category.

How many benchmarks do Muse Spark and Qwen3.5 27B share?

17 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen3.5 27B has 28.

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