Noometry

Model comparison

GPT-4.5 vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 36.9 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-4.5 OpenAI

36.9

Rank #200 Confirmed

Muse Spark 1.3 Meta

54.4

Rank #27 Confirmed

Summary

  • They share 18 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 72.4 to 31.0.
  • 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 Index36.954.4
Released2025-02-272026-09-02
WeightsProprietaryProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked4234

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Category by category

Coding Muse Spark 1.3 leads

GPT-4.5: 41.8 (#102), Muse Spark 1.3: 56.1 (#18)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Coding13971516
Aider Polyglot44.9%—
CursorBench—41.6%
LMArena WebDev—1655
SciCode—59.7%
WeirdML39.4%—
LiveBench Coding75.2%—

Agentic & Tool Use Muse Spark 1.3 leads

GPT-4.5: 27.6 (#92), Muse Spark 1.3: 38.6 (#28)

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: 14.1 (#320), Muse Spark 1.3: 52.9 (#27)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Hard Prompts14041503
Epoch Capabilities Index136.74156.89
ARC-AGI-20.8%—
SimpleBench34.5%—
NYT Connections (extended)—85.1%
ARC-AGI-110.3%—
CritPt—24.9%
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: 31.0 (#200), Muse Spark 1.3: 72.4 (#16)

BenchmarkGPT-4.5Muse Spark 1.3
OTIS Mock AIME 2024-202537.8%99.2%
LMArena Math14121497
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
LiveBench Math69.3%—
MATH Level 578.6%—

Knowledge Muse Spark 1.3 leads

GPT-4.5: 32.4 (#205), Muse Spark 1.3: 42.0 (#92)

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: 37.0 (#68), Muse Spark 1.3: 43.0 (#21)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Vision11951310
VPCT45%—
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

GPT-4.5: 52.7 (#78), Muse Spark 1.3: 57.8 (#6)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Non-English14131485
LMArena Chinese14211527
LMArena French14171534
LMArena Korean13921513
LMArena Russian14191491
LMArena German1457—
LMArena Japanese1416—
LMArena Spanish—1485

Instruction Following Muse Spark 1.3 leads

GPT-4.5: 72.8 (#129), Muse Spark 1.3: 77.8 (#14)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Instruction Following14041481
LiveBench Instruction Following72.3%—

Long Context Muse Spark 1.3 leads

GPT-4.5: 40.4 (#150), Muse Spark 1.3: 45.7 (#29)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Longer Query14061491
Fiction.LiveBench63.9%—

Writing & Preference Muse Spark 1.3 leads

GPT-4.5: 57.1 (#129), Muse Spark 1.3: 73.7 (#10)

BenchmarkGPT-4.5Muse Spark 1.3
LMArena Text14171490
LMArena Creative Writing13941450
EQ-Bench Creative Writing12581906
LMArena Multi-Turn14441486
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 54.4 to 36.9 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: 56.1 versus 41.8 in the Noometry coding category.

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

18 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Muse Spark 1.3 has 34.

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