Model comparison

Gemma 3 12B vs Llama 3.1-405B

Gemma 3 12B is the stronger model overall, scoring 32.1 to 30.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemma 3 12B Google

32.1

Rank #262 Confirmed

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemma 3 12B scores higher in 6 categories and Llama 3.1-405B in 3 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Gemma 3 12B leads 47.5 to 38.9.
  • The biggest single-benchmark swing is DTBench: 48.8% for Gemma 3 12B and 61.4% for Llama 3.1-405B.

Side by side

Gemma 3 12B and Llama 3.1-405B specifications
Gemma 3 12BLlama 3.1-405B
ProviderGoogleMeta
Noometry Index32.130.7
Released2025-03-122024-07-23
WeightsOpenOpen
Context window131K—
Max output8K—
Input $ / M tokens$0.05—
Output $ / M tokens$0.15—
Results tracked2442

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Category by category

Coding Llama 3.1-405B leads

Gemma 3 12B: 31.7 (#280), Llama 3.1-405B: 33.1 (#262)

Coding benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
LMArena Coding12811291
SciCode17.4%—
WeirdML—21.4%

Agentic & Tool Use Gemma 3 12B leads

Gemma 3 12B: 25.5 (#108), Llama 3.1-405B: 21.0 (#140)

Agentic & Tool Use benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
Berkeley Function Calling Leaderboard30.4%—
TheAgentCompany—7.4%
Cybench—7.5%

Reasoning Llama 3.1-405B leads

Gemma 3 12B: 15.7 (#313), Llama 3.1-405B: 16.8 (#300)

Reasoning benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
LMArena Hard Prompts13091269
DTBench48.8%61.4%
Epoch Capabilities Index123.5128.75
SimpleBench—23%
Kagi LLM Benchmark—45%
CritPt0%—
Chess Puzzles0%—
LMCA4.5%—
BIG-Bench Hard—82.9%
ForecastBench—59.9
HellaSwag—89.2%
PIQA—85.9%
WinoGrande—89.2%

Math Gemma 3 12B leads

Gemma 3 12B: 22.3 (#279), Llama 3.1-405B: 18.4 (#290)

Math benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
OTIS Mock AIME 2024-202516.7%9.7%
LMArena Math13071281
Omni-MATH—24.9%
MATH Level 5—49.8%

Knowledge Llama 3.1-405B leads

Gemma 3 12B: 26.5 (#257), Llama 3.1-405B: 30.4 (#227)

Knowledge benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
GPQA Diamond39.5%50.9%
LMArena Expert12481243
MMLU-Pro—72.3%
Confabulations—17.6%
Vectara Hallucination Rate4.4%—
GPQA (HELM)—52.2%
ARC (AI2) Challenge—95.3%
MMLU—84.5%
TriviaQA—82.7%

Multimodal Not comparable

Gemma 3 12B: —, Llama 3.1-405B: —

Multimodal benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
MindCube46.7%—

Multilingual Gemma 3 12B leads

Gemma 3 12B: 45.7 (#165), Llama 3.1-405B: 40.7 (#214)

Multilingual benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
LMArena Non-English13181248
LMArena German13701252
LMArena Russian13351265
LMArena Chinese—1242
LMArena French—1279
LMArena Japanese—1208
LMArena Korean—1184
LMArena Spanish—1260

Instruction Following Gemma 3 12B leads

Gemma 3 12B: 68.6 (#186), Llama 3.1-405B: 65.9 (#214)

Instruction Following benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
LMArena Instruction Following12991259
IFEval—81.1%

Long Context Gemma 3 12B leads

Gemma 3 12B: 40.0 (#162), Llama 3.1-405B: 38.4 (#197)

Long Context benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
LMArena Longer Query13171266

Writing & Preference Gemma 3 12B leads

Gemma 3 12B: 47.5 (#209), Llama 3.1-405B: 38.9 (#251)

Writing & Preference benchmarks
BenchmarkGemma 3 12BLlama 3.1-405B
LMArena Text13341284
LMArena Creative Writing13311262
EQ-Bench Creative Writing1126870
LMArena Multi-Turn13341297
WildBench—78.3%

Frequently asked questions

Is Gemma 3 12B better than Llama 3.1-405B?

Gemma 3 12B is the stronger model overall, scoring 32.1 to 30.7 on the Noometry Index.

Is Gemma 3 12B or Llama 3.1-405B better for coding?

Llama 3.1-405B scores higher on coding benchmarks: 33.1 versus 31.7 in the Noometry coding category.

How many benchmarks do Gemma 3 12B and Llama 3.1-405B share?

17 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and Llama 3.1-405B has 42.

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