Noometry

Model comparison

GPT-5.2 Pro vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 52.3 on the Noometry Index.

Last verified . 4 shared benchmarks.

GPT-5.2 Pro OpenAI

52.3

Rank #39 Reported

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 4 benchmarks with published results for both. GPT-5.2 Pro scores higher in 0 categories and Muse Spark 1.3 in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 65.3.
  • The biggest single-benchmark swing is NYT Connections (extended): 79.3% for GPT-5.2 Pro and 85.1% for Muse Spark 1.3.
  • Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
  • Muse Spark 1.3 accepts more context: 1.05M tokens versus 400K.

Side by side

GPT-5.2 ProMuse Spark 1.3
ProviderOpenAIMeta
Noometry Index52.354.8
Released2025-12-112026-09-02
WeightsProprietaryProprietary
Context window400K1.05M
Max output128K131K
Input $ / M tokens$21$1.25
Output $ / M tokens$168$4.25
Results tracked837

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Category by category

Coding Not comparable

GPT-5.2 Pro: —, Muse Spark 1.3: 56.6 (#21)

BenchmarkGPT-5.2 ProMuse Spark 1.3
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%
LMArena Coding—1514

Agentic & Tool Use Not comparable

GPT-5.2 Pro: —, Muse Spark 1.3: 38.6 (#30)

BenchmarkGPT-5.2 ProMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

GPT-5.2 Pro: 51.5 (#33), Muse Spark 1.3: 54.0 (#27)

BenchmarkGPT-5.2 ProMuse Spark 1.3
NYT Connections (extended)79.3%85.1%
Epoch Capabilities Index155.4156.75
ARC-AGI-254.2%—
SimpleBench57.4%—
ARC-AGI-190.5%—
CritPt—26%
Chess Puzzles—38%
LMArena Hard Prompts—1503
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14

Math Muse Spark 1.3 leads

GPT-5.2 Pro: 65.3 (#29), Muse Spark 1.3: 73.1 (#21)

BenchmarkGPT-5.2 ProMuse Spark 1.3
FrontierMath (Tiers 1-3)74%74.4%
FrontierMath Tier 446%46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%
LMArena Math—1494
FrontierMath Tier 4 (v1)31.3%—

Knowledge Not comparable

GPT-5.2 Pro: —, Muse Spark 1.3: 42.6 (#95)

BenchmarkGPT-5.2 ProMuse Spark 1.3
LMArena Expert—1516

Multimodal Not comparable

GPT-5.2 Pro: —, Muse Spark 1.3: 43.7 (#22)

BenchmarkGPT-5.2 ProMuse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Not comparable

GPT-5.2 Pro: —, Muse Spark 1.3: 57.4 (#8)

BenchmarkGPT-5.2 ProMuse Spark 1.3
LMArena Non-English—1481
LMArena Chinese—1529
LMArena French—1524
LMArena German—1515
LMArena Japanese—1474
LMArena Korean—1501
LMArena Russian—1490
LMArena Spanish—1490

Instruction Following Not comparable

GPT-5.2 Pro: —, Muse Spark 1.3: 77.5 (#22)

BenchmarkGPT-5.2 ProMuse Spark 1.3
LMArena Instruction Following—1477

Long Context Not comparable

GPT-5.2 Pro: —, Muse Spark 1.3: 45.6 (#32)

BenchmarkGPT-5.2 ProMuse Spark 1.3
LMArena Longer Query—1488

Writing & Preference Not comparable

GPT-5.2 Pro: —, Muse Spark 1.3: 73.6 (#9)

BenchmarkGPT-5.2 ProMuse Spark 1.3
LMArena Text—1490
LMArena Creative Writing—1455
EQ-Bench Creative Writing—1906
LMArena Multi-Turn—1482

Frequently asked questions

Is GPT-5.2 Pro better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 52.3 on the Noometry Index.

Which is cheaper, GPT-5.2 Pro or Muse Spark 1.3?

Muse Spark 1.3 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-5.2 Pro lists at $21 and $168.

Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 400K.

How many benchmarks do GPT-5.2 Pro and Muse Spark 1.3 share?

4 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Muse Spark 1.3 has 37.

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