Noometry

Model comparison

GPT-6 Luna vs Llama 2-13B

GPT-6 Luna is the stronger model overall, scoring 53.3 to 29.6 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 31.1.
  • The biggest single-benchmark swing is DTBench: 90.1% for GPT-6 Luna and 42.2% for Llama 2-13B.
  • Llama 2-13B has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaLlama 2-13B
ProviderOpenAIMeta
Noometry Index53.329.6
Released2026-09-222023-07-18
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.50—
Results tracked4232

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Llama 2-13B: 30.9 (#291)

BenchmarkGPT-6 LunaLlama 2-13B
LMArena Coding14391062
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
ALE-Bench1,577—

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Llama 2-13B: —

BenchmarkGPT-6 LunaLlama 2-13B
APEX-Agents44.3%—
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Llama 2-13B: 12.8 (#337)

BenchmarkGPT-6 LunaLlama 2-13B
Chess Puzzles31%0%
LMArena Hard Prompts14111051
DTBench90.1%42.2%
Epoch Capabilities Index156.28106.17
ARC-AGI-259.3%—
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
Mystery Game Puzzles7%—
LMCA44.5%—
BIG-Bench Hard—58.2%
HellaSwag—80.7%
LAMBADA—76.5%
PIQA—80.8%
WinoGrande—72.8%

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Llama 2-13B: 31.1 (#229)

BenchmarkGPT-6 LunaLlama 2-13B
LMArena Math14161065
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
OTIS Mock AIME 2024-202598.9%—
ProofBench64%—
GSM8K—36.9%

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Llama 2-13B: 28.1 (#249)

BenchmarkGPT-6 LunaLlama 2-13B
LMArena Expert14441030
GPQA Diamond90.5%—
SimpleQA Verified41.4%—
ARC (AI2) Challenge—60.3%
BoolQ—82.4%
MMLU—55.6%
OpenBookQA—57%
TriviaQA—79.6%

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Llama 2-13B: —

BenchmarkGPT-6 LunaLlama 2-13B
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—
ScienceQA—55.8%

Multilingual GPT-6 Luna leads

GPT-6 Luna: 50.5 (#117), Llama 2-13B: 26.5 (#279)

BenchmarkGPT-6 LunaLlama 2-13B
LMArena Non-English13861024
LMArena Chinese14331001
LMArena French14201044
LMArena German13691009
LMArena Japanese1369894
LMArena Korean1360953
LMArena Russian13941055
LMArena Spanish13931087

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.3 (#99), Llama 2-13B: 53.3 (#287)

BenchmarkGPT-6 LunaLlama 2-13B
LMArena Instruction Following14091045

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.0 (#111), Llama 2-13B: 32.3 (#269)

BenchmarkGPT-6 LunaLlama 2-13B
LMArena Longer Query14091064

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Llama 2-13B: 29.8 (#289)

BenchmarkGPT-6 LunaLlama 2-13B
LMArena Text13911084
LMArena Creative Writing13631047
LMArena Multi-Turn13961050

Frequently asked questions

Is GPT-6 Luna better than Llama 2-13B?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 29.6 on the Noometry Index.

Is GPT-6 Luna or Llama 2-13B better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 30.9 in the Noometry coding category.

How many benchmarks do GPT-6 Luna and Llama 2-13B share?

20 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Llama 2-13B has 32.

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