Noometry

Model comparison

GPT-6 Luna vs Llama 3-8B

GPT-6 Luna is the stronger model overall, scoring 53.3 to 25.5 on the Noometry Index.

Last verified . 22 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 8.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for GPT-6 Luna and 1.9% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaLlama 3-8B
ProviderOpenAIMeta
Noometry Index53.325.5
Released2026-09-222024-04-18
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.50—
Results tracked4234

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Llama 3-8B: 31.0 (#289)

BenchmarkGPT-6 LunaLlama 3-8B
LMArena Coding14391152
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
ALE-Bench1,577—
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Llama 3-8B: —

BenchmarkGPT-6 LunaLlama 3-8B
APEX-Agents44.3%—
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Llama 3-8B: 14.3 (#326)

BenchmarkGPT-6 LunaLlama 3-8B
Chess Puzzles31%0%
LMArena Hard Prompts14111133
DTBench90.1%43.9%
Epoch Capabilities Index156.28116.45
ARC-AGI-259.3%—
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
Mystery Game Puzzles7%—
LMCA44.5%—
Adversarial NLI—57.3%
ForecastBench—58.6
WinoGrande—75.7%

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Llama 3-8B: 8.8 (#323)

BenchmarkGPT-6 LunaLlama 3-8B
OTIS Mock AIME 2024-202598.9%1.9%
LMArena Math14161151
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
ProofBench64%—
MATH Level 5—6.1%

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Llama 3-8B: 7.8 (#308)

BenchmarkGPT-6 LunaLlama 3-8B
GPQA Diamond90.5%26.1%
LMArena Expert14441113
SimpleQA Verified41.4%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Llama 3-8B: —

BenchmarkGPT-6 LunaLlama 3-8B
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual GPT-6 Luna leads

GPT-6 Luna: 50.5 (#117), Llama 3-8B: 30.8 (#261)

BenchmarkGPT-6 LunaLlama 3-8B
LMArena Non-English13861098
LMArena Chinese14331076
LMArena French14201159
LMArena German13691104
LMArena Japanese1369967
LMArena Korean13601004
LMArena Russian13941109
LMArena Spanish13931173

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.3 (#99), Llama 3-8B: 58.4 (#260)

BenchmarkGPT-6 LunaLlama 3-8B
LMArena Instruction Following14091127

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.0 (#111), Llama 3-8B: 34.2 (#251)

BenchmarkGPT-6 LunaLlama 3-8B
LMArena Longer Query14091128

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Llama 3-8B: 37.5 (#256)

BenchmarkGPT-6 LunaLlama 3-8B
LMArena Text13911166
LMArena Creative Writing13631150
LMArena Multi-Turn13961152

Frequently asked questions

Is GPT-6 Luna better than Llama 3-8B?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 25.5 on the Noometry Index.

Is GPT-6 Luna or Llama 3-8B better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 31.0 in the Noometry coding category.

How many benchmarks do GPT-6 Luna and Llama 3-8B share?

22 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Llama 3-8B has 34.

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