Noometry

Model comparison

GPT-4.5 vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 37.2 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.5 scores higher in 0 categories and Muse Spark 1.3 in 10 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 32.6.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 99.2% for Muse Spark 1.3.

Side by side

GPT-4.5Muse Spark 1.3
ProviderOpenAIMeta
Noometry Index37.254.8
Released2025-02-272026-09-02
WeightsProprietaryProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked4237

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Category by category

Coding Muse Spark 1.3 leads

GPT-4.5: 42.2 (#109), Muse Spark 1.3: 56.6 (#21)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Coding13961514
Aider Polyglot44.9%—
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%
WeirdML39.4%—
LiveBench Coding75.2%—

Agentic & Tool Use Muse Spark 1.3 leads

GPT-4.5: 27.9 (#97), Muse Spark 1.3: 38.6 (#30)

BenchmarkGPT-4.5Muse Spark 1.3
APEX-Agents—57.8%
Cybench17.5%—
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

GPT-4.5: 13.9 (#330), Muse Spark 1.3: 54.0 (#27)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Hard Prompts14031503
Epoch Capabilities Index136.74156.75
ARC-AGI-20.8%—
SimpleBench34.5%—
NYT Connections (extended)—85.1%
ARC-AGI-110.3%—
CritPt—26%
Chess Puzzles—38%
EnigmaEval3.2%—
LiveBench Reasoning71.1%—
Mystery Game Puzzles—25%
DTBench—96.5%
LiveBench Data Analysis64.3%—
LMCA—53.9%
Bench to the Future 3—0.14
ForecastBench61.7—
LiveBench69%—

Math Muse Spark 1.3 leads

GPT-4.5: 32.6 (#211), Muse Spark 1.3: 73.1 (#21)

BenchmarkGPT-4.5Muse Spark 1.3
OTIS Mock AIME 2024-202537.8%99.2%
LMArena Math14121494
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
ProofBench—58%
LiveBench Math69.3%—
MATH Level 578.6%—

Knowledge Muse Spark 1.3 leads

GPT-4.5: 32.5 (#211), Muse Spark 1.3: 42.6 (#95)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Expert13941516
GPQA Diamond68.7%—
Humanity's Last Exam5.4%—
Confabulations13.6%—

Multimodal Muse Spark 1.3 leads

GPT-4.5: 37.6 (#71), Muse Spark 1.3: 43.7 (#22)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Vision11951309
VPCT45%—
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

GPT-4.5: 52.5 (#83), Muse Spark 1.3: 57.4 (#8)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Non-English14131481
LMArena Chinese14211529
LMArena French14181524
LMArena German14571515
LMArena Japanese14161474
LMArena Korean13921501
LMArena Russian14191490
LMArena Spanish—1490

Instruction Following Muse Spark 1.3 leads

GPT-4.5: 72.6 (#134), Muse Spark 1.3: 77.5 (#22)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Instruction Following14041477
LiveBench Instruction Following72.3%—

Long Context Muse Spark 1.3 leads

GPT-4.5: 40.4 (#155), Muse Spark 1.3: 45.6 (#32)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Longer Query14061488
Fiction.LiveBench63.9%—

Writing & Preference Muse Spark 1.3 leads

GPT-4.5: 56.9 (#134), Muse Spark 1.3: 73.6 (#9)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Text14171490
LMArena Creative Writing13941455
EQ-Bench Creative Writing12581906
LMArena Multi-Turn14441482
Short-Story Creative Writing75.6%—
LiveBench Language61.5%—

Frequently asked questions

Is GPT-4.5 better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 37.2 on the Noometry Index.

Is GPT-4.5 or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 42.2 in the Noometry coding category.

How many benchmarks do GPT-4.5 and Muse Spark 1.3 share?

20 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Muse Spark 1.3 has 37.

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