Noometry

Model comparison

GPT-5.6 Luna vs Muse Spark 1.2

GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 50.3 on the Noometry Index.

Last verified . 30 shared benchmarks.

GPT-5.6 Luna OpenAI

54.6

Rank #30 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 30 benchmarks with published results for both. GPT-5.6 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-5.6 Luna leads 77.7 to 46.4.
  • The biggest single-benchmark swing is SimpleBench: 46.8% for GPT-5.6 Luna and 74.5% for Muse Spark 1.2.
  • GPT-5.6 Luna is cheaper at $0.20 / $1.20 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
  • GPT-5.6 Luna accepts more context: 1.05M tokens versus 1.05M.

Side by side

GPT-5.6 LunaMuse Spark 1.2
ProviderOpenAIMeta
Noometry Index54.650.3
Released2026-07-092026-08-05
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output128K131K
Input $ / M tokens$0.20$1.25
Output $ / M tokens$1.20$4.25
Results tracked5231

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Category by category

Coding GPT-5.6 Luna leads

GPT-5.6 Luna: 54.5 (#28), Muse Spark 1.2: 49.2 (#51)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
DeepSWE67.2%54.9%
LMArena WebDev15191533
SciCode53.6%56.4%
WeirdML60.9%60.3%
LMArena Coding14661495
FrontierCode39.8%—
CursorBench35.9%—
FrontierSWE—12%
ALE-Bench1,667—

Agentic & Tool Use GPT-5.6 Luna leads

GPT-5.6 Luna: 34.4 (#45), Muse Spark 1.2: 29.4 (#87)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
APEX-Agents43%36.4%
GDP.pdf22.7%16%
BALROG45.6%—
Vending-Bench 24,095—

Reasoning Muse Spark 1.2 leads

GPT-5.6 Luna: 47.6 (#43), Muse Spark 1.2: 51.3 (#34)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
SimpleBench46.8%74.5%
NYT Connections (extended)69.4%79.2%
CritPt20.6%17.7%
LMArena Hard Prompts14511486
DTBench89.1%94.7%
LMCA48.5%48.4%
Epoch Capabilities Index156.39154.87
ARC-AGI-259.5%—
Kagi LLM Benchmark49.1%—
ARC-AGI-188%—
Chess Puzzles40%—
Mystery Game Puzzles21%—
Surface Evolver Bench61.9%—

Math GPT-5.6 Luna leads

GPT-5.6 Luna: 77.7 (#14), Muse Spark 1.2: 46.4 (#70)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
ProofBench60%43%
LMArena Math14581471
FrontierMath (Tiers 1-3)82.1%—
FrontierMath Tier 461%—
OTIS Mock AIME 2024-202598.3%—

Knowledge GPT-5.6 Luna leads

GPT-5.6 Luna: 58.5 (#34), Muse Spark 1.2: 54.1 (#53)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
SimpleQA Verified41%60.3%
LMArena Expert14781480
GPQA Diamond91.6%—

Multimodal Too close to call

GPT-5.6 Luna: 42.7 (#28), Muse Spark 1.2: 43.4 (#25)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
LMArena Vision12581305
Blueprint-Bench 222.6%—
Furniture Assembly42.5%—
LMArena Document1457—

Multilingual Muse Spark 1.2 leads

GPT-5.6 Luna: 52.8 (#78), Muse Spark 1.2: 57.1 (#11)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
LMArena Non-English14171478
LMArena Chinese14701511
LMArena French14561513
LMArena Russian14281487
LMArena Spanish14481498
LMArena German1454—
LMArena Japanese1411—
LMArena Korean1415—

Instruction Following Muse Spark 1.2 leads

GPT-5.6 Luna: 75.6 (#57), Muse Spark 1.2: 76.7 (#36)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
LMArena Instruction Following14371461

Long Context Muse Spark 1.2 leads

GPT-5.6 Luna: 43.9 (#82), Muse Spark 1.2: 45.2 (#48)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
LMArena Longer Query14361475

Writing & Preference Muse Spark 1.2 leads

GPT-5.6 Luna: 68.0 (#29), Muse Spark 1.2: 72.3 (#14)

BenchmarkGPT-5.6 LunaMuse Spark 1.2
LMArena Text14311482
LMArena Creative Writing13961449
EQ-Bench Creative Writing18291840
LMArena Multi-Turn14341494
EQ-Bench 41156—

Frequently asked questions

Is GPT-5.6 Luna better than Muse Spark 1.2?

GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 50.3 on the Noometry Index.

Which is cheaper, GPT-5.6 Luna or Muse Spark 1.2?

GPT-5.6 Luna is cheaper. It lists at $0.20 per million input tokens and $1.20 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is GPT-5.6 Luna or Muse Spark 1.2 better for coding?

GPT-5.6 Luna scores higher on coding benchmarks: 54.5 versus 49.2 in the Noometry coding category.

Which has the bigger context window?

GPT-5.6 Luna does, with 1.05M tokens against 1.05M.

How many benchmarks do GPT-5.6 Luna and Muse Spark 1.2 share?

30 benchmarks have published results for both models. GPT-5.6 Luna has 52 scored results on Noometry and Muse Spark 1.2 has 31.

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