Noometry

Model comparison

GPT-5 Pro vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 46.4 on the Noometry Index.

Last verified . 3 shared benchmarks.

GPT-5 Pro OpenAI

46.4

Rank #64 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GPT-5 Pro scores higher in 2 categories and Muse Spark 1.2 in 2 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 38.9.
  • The biggest single-benchmark swing is SimpleBench: 61.6% for GPT-5 Pro and 74.5% for Muse Spark 1.2.
  • Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
  • Muse Spark 1.2 accepts more context: 1.05M tokens versus 400K.

Side by side

GPT-5 ProMuse Spark 1.2
ProviderOpenAIMeta
Noometry Index46.450.3
Released2025-10-062026-08-05
WeightsProprietaryProprietary
Context window400K1.05M
Max output272K131K
Input $ / M tokens$15$1.25
Output $ / M tokens$120$4.25
Results tracked1231

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Category by category

Coding Muse Spark 1.2 leads

GPT-5 Pro: 44.0 (#80), Muse Spark 1.2: 49.2 (#51)

BenchmarkGPT-5 ProMuse Spark 1.2
WeirdML60.4%60.3%
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
LMArena Coding—1495
AlgoTune1.31—

Agentic & Tool Use Not comparable

GPT-5 Pro: —, Muse Spark 1.2: 29.4 (#87)

BenchmarkGPT-5 ProMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

GPT-5 Pro: 38.9 (#62), Muse Spark 1.2: 51.3 (#34)

BenchmarkGPT-5 ProMuse Spark 1.2
SimpleBench61.6%74.5%
Epoch Capabilities Index150.28154.87
ARC-AGI-218.3%—
Kagi LLM Benchmark76.8%—
NYT Connections (extended)—79.2%
ARC-AGI-170.2%—
CritPt—17.7%
EnigmaEval18.8%—
LMArena Hard Prompts—1486
DTBench—94.7%
LMCA—48.4%

Math GPT-5 Pro leads

GPT-5 Pro: 48.5 (#63), Muse Spark 1.2: 46.4 (#70)

BenchmarkGPT-5 ProMuse Spark 1.2
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 419.5%—
ProofBench—43%
LMArena Math—1471
FrontierMath Tier 4 (v1)14.6%—

Knowledge GPT-5 Pro leads

GPT-5 Pro: 56.7 (#42), Muse Spark 1.2: 54.1 (#53)

BenchmarkGPT-5 ProMuse Spark 1.2
Humanity's Last Exam31.6%—
SimpleQA Verified—60.3%
LMArena Expert—1480

Multimodal Not comparable

GPT-5 Pro: —, Muse Spark 1.2: 43.4 (#25)

BenchmarkGPT-5 ProMuse Spark 1.2
LMArena Vision—1305

Multilingual Not comparable

GPT-5 Pro: —, Muse Spark 1.2: 57.1 (#11)

BenchmarkGPT-5 ProMuse Spark 1.2
LMArena Non-English—1478
LMArena Chinese—1511
LMArena French—1513
LMArena Russian—1487
LMArena Spanish—1498

Instruction Following Not comparable

GPT-5 Pro: —, Muse Spark 1.2: 76.7 (#36)

BenchmarkGPT-5 ProMuse Spark 1.2
LMArena Instruction Following—1461

Long Context Not comparable

GPT-5 Pro: —, Muse Spark 1.2: 45.2 (#48)

BenchmarkGPT-5 ProMuse Spark 1.2
LMArena Longer Query—1475

Writing & Preference Not comparable

GPT-5 Pro: —, Muse Spark 1.2: 72.3 (#14)

BenchmarkGPT-5 ProMuse Spark 1.2
LMArena Text—1482
LMArena Creative Writing—1449
EQ-Bench Creative Writing—1840
LMArena Multi-Turn—1494

Frequently asked questions

Is GPT-5 Pro better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 46.4 on the Noometry Index.

Which is cheaper, GPT-5 Pro or Muse Spark 1.2?

Muse Spark 1.2 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-5 Pro lists at $15 and $120.

Is GPT-5 Pro or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 44.0 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 400K.

How many benchmarks do GPT-5 Pro and Muse Spark 1.2 share?

3 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Muse Spark 1.2 has 31.

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