Noometry

Model comparison

GPT-4.1 vs Muse Spark

Muse Spark is the stronger model overall, scoring 50.6 to 35.9 on the Noometry Index.

Last verified . 23 shared benchmarks.

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Muse Spark Meta

50.6

Rank #46 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GPT-4.1 scores higher in 0 categories and Muse Spark in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark leads 65.7 to 37.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 38.3% for GPT-4.1 and 88.9% for Muse Spark.

Side by side

GPT-4.1Muse Spark
ProviderOpenAIMeta
Noometry Index35.950.6
Released2025-04-142026-04-08
WeightsProprietaryProprietary
Context window1.05M—
Max output33K—
Input $ / M tokens$2—
Output $ / M tokens$8—
Results tracked5227

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Category by category

Coding Muse Spark leads

GPT-4.1: 34.4 (#238), Muse Spark: 46.2 (#69)

BenchmarkGPT-4.1Muse Spark
LMArena Coding13911481
SWE-bench Verified48.5%—
SWE-bench Verified (bash only)39.6%—
Aider Polyglot52.4%—
SciCode—51.5%
WeirdML39%—
CadEval42%—
ALE-Bench558.1—

Agentic & Tool Use Not comparable

GPT-4.1: 34.7 (#43), Muse Spark: —

BenchmarkGPT-4.1Muse Spark
Berkeley Function Calling Leaderboard54%—

Reasoning Muse Spark leads

GPT-4.1: 11.7 (#339), Muse Spark: 35.9 (#67)

BenchmarkGPT-4.1Muse Spark
LMArena Hard Prompts13841474
Epoch Capabilities Index136.78152.04
ARC-AGI-20.4%—
SimpleBench27%—
Kagi LLM Benchmark52.3%—
ARC-AGI-15.5%—
CritPt—11.3%
Chess Puzzles6%—
EnigmaEval2.2%—
DTBench68.3%—
LMCA25.6%—
ForecastBench61.5—

Math Muse Spark leads

GPT-4.1: 22.3 (#280), Muse Spark: 47.8 (#66)

BenchmarkGPT-4.1Muse Spark
OTIS Mock AIME 2024-202538.3%88.9%
LMArena Math13701455
FrontierMath (Feb 2025 set)5.5%39%
FrontierMath Tier 4 (v1)0%14.6%
FrontierMath (Tiers 1-3)6%—
ProofBench—17%
Omni-MATH47.1%—
MATH Level 583%—

Knowledge Muse Spark leads

GPT-4.1: 37.1 (#160), Muse Spark: 65.7 (#13)

BenchmarkGPT-4.1Muse Spark
GPQA Diamond66.9%89.8%
Humanity's Last Exam5.4%40.6%
LMArena Expert13641457
SimpleQA Verified31.1%—
MMLU-Pro81.1%—
Vectara Hallucination Rate5.6%—
GPQA (HELM)65.9%—

Multimodal Muse Spark leads

GPT-4.1: 38.2 (#67), Muse Spark: 43.4 (#24)

BenchmarkGPT-4.1Muse Spark
LMArena Vision12111306
GeoBench72%—
LMArena Document—1444

Multilingual Muse Spark leads

GPT-4.1: 49.4 (#133), Muse Spark: 56.1 (#24)

BenchmarkGPT-4.1Muse Spark
LMArena Non-English13701464
LMArena Chinese13821509
LMArena French13821497
LMArena German13811497
LMArena Korean13391459
LMArena Russian13771466
LMArena Spanish13761472
LMArena Japanese1319—

Instruction Following Muse Spark leads

GPT-4.1: 71.3 (#153), Muse Spark: 75.9 (#51)

BenchmarkGPT-4.1Muse Spark
LMArena Instruction Following13671442
IFEval83.8%—

Long Context Muse Spark leads

GPT-4.1: 40.0 (#163), Muse Spark: 44.4 (#69)

BenchmarkGPT-4.1Muse Spark
LMArena Longer Query13851451
Fiction.LiveBench63.9%—

Writing & Preference Muse Spark leads

GPT-4.1: 57.6 (#125), Muse Spark: 66.0 (#39)

BenchmarkGPT-4.1Muse Spark
LMArena Text13831474
LMArena Creative Writing13631459
LMArena Multi-Turn13981477
EQ-Bench Creative Writing1420—
WildBench85.4%—

Frequently asked questions

Is GPT-4.1 better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.6 to 35.9 on the Noometry Index.

Is GPT-4.1 or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 34.4 in the Noometry coding category.

How many benchmarks do GPT-4.1 and Muse Spark share?

23 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Muse Spark has 27.

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