Model comparison

GPT-6 Luna vs o1

GPT-6 Luna is the stronger model overall, scoring 45.1 to 40.6 on the Noometry Index.

Last verified . 13 shared benchmarks.

GPT-6 Luna OpenAI

45.1

Rank #65 Confirmed

o1 OpenAI

40.6

Rank #140 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GPT-6 Luna scores higher in 6 categories and o1 in 3 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GPT-6 Luna leads 54.7 to 45.7.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $15 / $60 for o1.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 200K.

Side by side

GPT-6 Luna and o1 specifications
GPT-6 Lunao1
ProviderOpenAIOpenAI
Noometry Index45.140.6
Released2026-09-222024-09-12
WeightsProprietaryProprietary
Context window1.05M200K
Max output128K100K
Input $ / M tokens$0.10$15
Output $ / M tokens$0.50$60
Results tracked1852

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 54.7 (#24), o1: 45.7 (#64)

Coding benchmarks
BenchmarkGPT-6 Lunao1
LMArena Coding14481367
DeepSWE66.6%—
FrontierCode42.4%—
Aider Polyglot—61.7%
LMArena WebDev1583—
WeirdML—47.6%
LiveBench Coding—69.7%
CadEval—56%
HumanEval+—89%
MBPP+—80.2%

Agentic & Tool Use Not comparable

GPT-6 Luna: —, o1: 24.3 (#111)

Agentic & Tool Use benchmarks
BenchmarkGPT-6 Lunao1
Cybench—10%
METR Time Horizons—51.1%

Reasoning GPT-6 Luna leads

GPT-6 Luna: 31.7 (#68), o1: 27.5 (#103)

Reasoning benchmarks
BenchmarkGPT-6 Lunao1
LMArena Hard Prompts14151372
SimpleBench—41.7%
NYT Connections (extended)68.7%—
ARC-AGI-1—30.7%
Chess Puzzles—15%
EnigmaEval—5.7%
LiveBench Reasoning—91.6%
DTBench—74.7%
LiveBench Data Analysis—65.5%
LMCA—22.3%
Epoch Capabilities Index—141.92
LiveBench—75.7%

Math Too close to call

GPT-6 Luna: 35.6 (#140), o1: 34.9 (#150)

Math benchmarks
BenchmarkGPT-6 Lunao1
LMArena Math13961388
FrontierMath (Tiers 1-3)—14.7%
OTIS Mock AIME 2024-2025—73.3%
LiveBench Math—80.3%
MATH Level 5—94.7%
FrontierMath (Feb 2025 set)—9.3%

Knowledge o1 leads

GPT-6 Luna: 40.1 (#110), o1: 41.5 (#101)

Knowledge benchmarks
BenchmarkGPT-6 Lunao1
LMArena Expert14581362
GPQA Diamond—76.8%
Humanity's Last Exam—8%
SimpleQA Verified—41.1%
Confabulations—11.7%

Multimodal GPT-6 Luna leads

GPT-6 Luna: 42.0 (#27), o1: 33.6 (#87)

Multimodal benchmarks
BenchmarkGPT-6 Lunao1
LMArena Vision—1168
GeoBench—80%
VPCT—37%
Furniture Assembly44.2%—
SpatialViz-Bench—41.4%

Multilingual GPT-6 Luna leads

GPT-6 Luna: 51.0 (#111), o1: 48.8 (#137)

Multilingual benchmarks
BenchmarkGPT-6 Lunao1
LMArena Non-English13901359
LMArena Chinese14251394
LMArena Russian13921356
LMArena Spanish14161345
LMArena French—1343
LMArena German—1337
LMArena Japanese—1346
LMArena Korean—1396

Instruction Following Too close to call

GPT-6 Luna: 74.7 (#85), o1: 75.0 (#82)

Instruction Following benchmarks
BenchmarkGPT-6 Lunao1
LMArena Instruction Following14141368
LiveBench Instruction Following—81.5%

Long Context o1 leads

GPT-6 Luna: 43.3 (#95), o1: 50.3 (#9)

Long Context benchmarks
BenchmarkGPT-6 Lunao1
LMArena Longer Query14171378
Fiction.LiveBench—83.3%

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.4 (#115), o1: 55.8 (#139)

Writing & Preference benchmarks
BenchmarkGPT-6 Lunao1
LMArena Text13921366
LMArena Creative Writing13571347
LMArena Multi-Turn14001368
Short-Story Creative Writing—70.2%
LiveBench Language—65.4%

Frequently asked questions

Is GPT-6 Luna better than o1?

GPT-6 Luna is the stronger model overall, scoring 45.1 to 40.6 on the Noometry Index.

Which is cheaper, GPT-6 Luna or o1?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; o1 lists at $15 and $60.

Is GPT-6 Luna or o1 better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 45.7 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 200K.

How many benchmarks do GPT-6 Luna and o1 share?

13 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and o1 has 52.

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