Noometry

Model comparison

GPT-6 Luna vs Llama 3.2 3B

GPT-6 Luna is the stronger model overall, scoring 45.1 to 28.4 on the Noometry Index. Llama 3.2 3B costs 1.7× less per token, which makes it the better buy when GPT-6 Luna's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GPT-6 Luna OpenAI

45.1

Rank #65 Confirmed

Llama 3.2 3B Meta

28.4

Rank #318 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Llama 3.2 3B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-6 Luna leads 58.4 to 24.9.
  • Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.10 / $0.50 for GPT-6 Luna.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 131K.
  • Llama 3.2 3B has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaLlama 3.2 3B
ProviderOpenAIMeta
Noometry Index45.128.4
Released2026-09-222024-09-24
WeightsProprietaryOpen
Context window1.05M131K
Max output128K118K
Input $ / M tokens$0.10$0.05
Output $ / M tokens$0.50$0.33
Results tracked1818

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 54.7 (#24), Llama 3.2 3B: 27.1 (#314)

BenchmarkGPT-6 LunaLlama 3.2 3B
LMArena Coding14481098
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1583—
BigCodeBench Instruct—23.4%
BigCodeBench Complete—28.3%

Agentic & Tool Use Not comparable

GPT-6 Luna: —, Llama 3.2 3B: 19.9 (#135)

BenchmarkGPT-6 LunaLlama 3.2 3B
Berkeley Function Calling Leaderboard—21.9%
BALROG—10.1%

Reasoning GPT-6 Luna leads

GPT-6 Luna: 31.7 (#68), Llama 3.2 3B: 20.1 (#225)

BenchmarkGPT-6 LunaLlama 3.2 3B
LMArena Hard Prompts14151095
NYT Connections (extended)68.7%—

Math GPT-6 Luna leads

GPT-6 Luna: 35.6 (#140), Llama 3.2 3B: 29.9 (#213)

BenchmarkGPT-6 LunaLlama 3.2 3B
LMArena Math13961126

Knowledge GPT-6 Luna leads

GPT-6 Luna: 40.1 (#110), Llama 3.2 3B: 29.1 (#232)

BenchmarkGPT-6 LunaLlama 3.2 3B
LMArena Expert14581090

Multimodal Not comparable

GPT-6 Luna: 42.0 (#27), Llama 3.2 3B: —

BenchmarkGPT-6 LunaLlama 3.2 3B
Furniture Assembly44.2%—

Multilingual GPT-6 Luna leads

GPT-6 Luna: 51.0 (#111), Llama 3.2 3B: 26.4 (#276)

BenchmarkGPT-6 LunaLlama 3.2 3B
LMArena Non-English13901019
LMArena Chinese14251017
LMArena Russian1392949
LMArena German—1056
LMArena Spanish1416—

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.7 (#85), Llama 3.2 3B: 56.3 (#270)

BenchmarkGPT-6 LunaLlama 3.2 3B
LMArena Instruction Following14141089

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.3 (#95), Llama 3.2 3B: 33.4 (#256)

BenchmarkGPT-6 LunaLlama 3.2 3B
LMArena Longer Query14171101

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.4 (#115), Llama 3.2 3B: 24.9 (#302)

BenchmarkGPT-6 LunaLlama 3.2 3B
LMArena Text13921110
LMArena Creative Writing13571094
LMArena Multi-Turn14001105
EQ-Bench Creative Writing—595

Frequently asked questions

Is GPT-6 Luna better than Llama 3.2 3B?

GPT-6 Luna is the stronger model overall, scoring 45.1 to 28.4 on the Noometry Index. Llama 3.2 3B costs 1.7× less per token, which makes it the better buy when GPT-6 Luna's lead doesn't matter for your workload.

Which is cheaper, GPT-6 Luna or Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; GPT-6 Luna lists at $0.10 and $0.50.

Is GPT-6 Luna or Llama 3.2 3B better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 27.1 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 131K.

How many benchmarks do GPT-6 Luna and Llama 3.2 3B share?

12 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Llama 3.2 3B has 18.

Related comparisons

Go deeper