Noometry

Model comparison

Muse Spark vs Qwen3 235B-A22B

Muse Spark is the stronger model overall, scoring 50.6 to 43.5 on the Noometry Index.

Last verified . 23 shared benchmarks.

Muse Spark Meta

50.6

Rank #46 Confirmed

Qwen3 235B-A22B Alibaba (Qwen)

43.5

Rank #91 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Muse Spark scores higher in 6 categories and Qwen3 235B-A22B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark leads 35.9 to 15.7.
  • The biggest single-benchmark swing is CritPt: 11.3% for Muse Spark and 0% for Qwen3 235B-A22B.
  • Qwen3 235B-A22B has downloadable open weights; the other is API-only.

Side by side

Muse SparkQwen3 235B-A22B
ProviderMetaAlibaba (Qwen)
Noometry Index50.643.5
Released2026-04-082025-04
WeightsProprietaryOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked2749

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Category by category

Coding Muse Spark leads

Muse Spark: 46.2 (#69), Qwen3 235B-A22B: 44.3 (#75)

BenchmarkMuse SparkQwen3 235B-A22B
SciCode51.5%42.4%
LMArena Coding14811445
Aider Polyglot—59.6%
WeirdML—41%

Agentic & Tool Use Not comparable

Muse Spark: —, Qwen3 235B-A22B: 33.9 (#51)

BenchmarkMuse SparkQwen3 235B-A22B
Berkeley Function Calling Leaderboard—52.1%
Vending-Bench 2—-11.34

Reasoning Muse Spark leads

Muse Spark: 35.9 (#67), Qwen3 235B-A22B: 15.7 (#311)

BenchmarkMuse SparkQwen3 235B-A22B
CritPt11.3%0%
LMArena Hard Prompts14741433
Epoch Capabilities Index152.04143.85
ARC-AGI-2—1.3%
SimpleBench—31%
Kagi LLM Benchmark—69.4%
ARC-AGI-1—11%
Chess Puzzles—12%
Mystery Game Puzzles—9%
DTBench—80.3%
LMCA—29.3%
ForecastBench—59.7

Math Qwen3 235B-A22B leads

Muse Spark: 47.8 (#66), Qwen3 235B-A22B: 50.4 (#57)

BenchmarkMuse SparkQwen3 235B-A22B
OTIS Mock AIME 2024-202588.9%86.7%
LMArena Math14551432
FrontierMath (Feb 2025 set)39%8.5%
FrontierMath Tier 4 (v1)14.6%0%
ProofBench17%—
Omni-MATH—71.8%
MATH Level 5—68.9%

Knowledge Muse Spark leads

Muse Spark: 65.7 (#13), Qwen3 235B-A22B: 49.6 (#73)

BenchmarkMuse SparkQwen3 235B-A22B
GPQA Diamond89.8%80.1%
LMArena Expert14571463
Humanity's Last Exam40.6%—
SimpleQA Verified—40.4%
MMLU-Pro—84.4%
Confabulations—15.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—72.7%

Multimodal Not comparable

Muse Spark: 43.4 (#24), Qwen3 235B-A22B: —

BenchmarkMuse SparkQwen3 235B-A22B
LMArena Vision1306—
LMArena Document1444—

Multilingual Muse Spark leads

Muse Spark: 56.1 (#24), Qwen3 235B-A22B: 52.3 (#89)

BenchmarkMuse SparkQwen3 235B-A22B
LMArena Non-English14641409
LMArena Chinese15091481
LMArena French14971445
LMArena German14971433
LMArena Korean14591391
LMArena Russian14661411
LMArena Spanish14721430
LMArena Japanese—1399

Instruction Following Muse Spark leads

Muse Spark: 75.9 (#51), Qwen3 235B-A22B: 72.6 (#136)

BenchmarkMuse SparkQwen3 235B-A22B
LMArena Instruction Following14421408
IFEval—83.5%

Long Context Qwen3 235B-A22B leads

Muse Spark: 44.4 (#69), Qwen3 235B-A22B: 46.1 (#26)

BenchmarkMuse SparkQwen3 235B-A22B
LMArena Longer Query14511426
Fiction.LiveBench—75%

Writing & Preference Muse Spark leads

Muse Spark: 66.0 (#39), Qwen3 235B-A22B: 59.6 (#108)

BenchmarkMuse SparkQwen3 235B-A22B
LMArena Text14741419
LMArena Creative Writing14591384
LMArena Multi-Turn14771432
Short-Story Creative Writing—83%
EQ-Bench Creative Writing—1366
WildBench—86.6%

Frequently asked questions

Is Muse Spark better than Qwen3 235B-A22B?

Muse Spark is the stronger model overall, scoring 50.6 to 43.5 on the Noometry Index.

Is Muse Spark or Qwen3 235B-A22B better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 44.3 in the Noometry coding category.

How many benchmarks do Muse Spark and Qwen3 235B-A22B share?

23 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen3 235B-A22B has 49.

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