Model comparison

GPT-6 Luna vs Muse Spark 1.2

GPT-6 Luna is the stronger model overall, scoring 53.3 to 50.3 on the Noometry Index.

Last verified . 27 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 27 benchmarks with published results for both. GPT-6 Luna scores higher in 4 categories and Muse Spark 1.2 in 6 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 46.4.
  • The biggest single-benchmark swing is ProofBench: 64% for GPT-6 Luna and 43% for Muse Spark 1.2.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 1.05M.

Side by side

GPT-6 Luna and Muse Spark 1.2 specifications
GPT-6 LunaMuse Spark 1.2
ProviderOpenAIMeta
Noometry Index53.350.3
Released2026-09-222026-08-05
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output128K131K
Input $ / M tokens$0.10$1.25
Output $ / M tokens$0.50$4.25
Results tracked4231

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Muse Spark 1.2: 49.2 (#51)

Coding benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
DeepSWE66.6%54.9%
LMArena WebDev15811533
SciCode54.6%56.4%
LMArena Coding14391495
FrontierCode42.4%—
FrontierSWE—12%
WeirdML—60.3%
ALE-Bench1,577—

Agentic & Tool Use GPT-6 Luna leads

GPT-6 Luna: 33.3 (#54), Muse Spark 1.2: 29.4 (#87)

Agentic & Tool Use benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
APEX-Agents44.3%36.4%
GDP.pdf23%16%

Reasoning Muse Spark 1.2 leads

GPT-6 Luna: 48.2 (#41), Muse Spark 1.2: 51.3 (#34)

Reasoning benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
NYT Connections (extended)68.7%79.2%
CritPt19.4%17.7%
LMArena Hard Prompts14111486
DTBench90.1%94.7%
LMCA44.5%48.4%
Epoch Capabilities Index156.28154.87
ARC-AGI-259.3%—
SimpleBench—74.5%
ARC-AGI-186.7%—
Chess Puzzles31%—
Mystery Game Puzzles7%—

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Muse Spark 1.2: 46.4 (#70)

Math benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
ProofBench64%43%
LMArena Math14161471
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
OTIS Mock AIME 2024-202598.9%—

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Muse Spark 1.2: 54.1 (#53)

Knowledge benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
SimpleQA Verified41.4%60.3%
LMArena Expert14441480
GPQA Diamond90.5%—

Multimodal Too close to call

GPT-6 Luna: 42.4 (#30), Muse Spark 1.2: 43.4 (#25)

Multimodal benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
LMArena Vision12171305
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual Muse Spark 1.2 leads

GPT-6 Luna: 50.5 (#117), Muse Spark 1.2: 57.1 (#11)

Multilingual benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
LMArena Non-English13861478
LMArena Chinese14331511
LMArena French14201513
LMArena Russian13941487
LMArena Spanish13931498
LMArena German1369—
LMArena Japanese1369—
LMArena Korean1360—

Instruction Following Muse Spark 1.2 leads

GPT-6 Luna: 74.3 (#99), Muse Spark 1.2: 76.7 (#36)

Instruction Following benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
LMArena Instruction Following14091461

Long Context Muse Spark 1.2 leads

GPT-6 Luna: 43.0 (#111), Muse Spark 1.2: 45.2 (#48)

Long Context benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
LMArena Longer Query14091475

Writing & Preference Muse Spark 1.2 leads

GPT-6 Luna: 58.3 (#119), Muse Spark 1.2: 72.3 (#14)

Writing & Preference benchmarks
BenchmarkGPT-6 LunaMuse Spark 1.2
LMArena Text13911482
LMArena Creative Writing13631449
LMArena Multi-Turn13961494
EQ-Bench Creative Writing—1840

Frequently asked questions

Is GPT-6 Luna better than Muse Spark 1.2?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 50.3 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Muse Spark 1.2?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is GPT-6 Luna or Muse Spark 1.2 better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 49.2 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 1.05M.

How many benchmarks do GPT-6 Luna and Muse Spark 1.2 share?

27 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Muse Spark 1.2 has 31.

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