Model comparison

Gemma 2B vs Llama 4 Scout

Gemma 2B is the stronger model overall, scoring 29.1 to 27.4 on the Noometry Index.

Last verified . 12 shared benchmarks.

Gemma 2B Google

29.1

Rank #305 Confirmed

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Gemma 2B scores higher in 4 categories and Llama 4 Scout in 3 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where Llama 4 Scout leads 41.3 to 23.1.

Side by side

Gemma 2B and Llama 4 Scout specifications
Gemma 2BLlama 4 Scout
ProviderGoogleMeta
Noometry Index29.127.4
Released2024-02-212025-04-05
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.30
Results tracked2343

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

Category by category

Coding Gemma 2B leads

Gemma 2B: 28.9 (#300), Llama 4 Scout: 19.9 (#334)

Coding benchmarks
BenchmarkGemma 2BLlama 4 Scout
LMArena Coding10101286
SWE-bench Verified (bash only)—9.1%
SciCode—17%
BigCodeBench Complete—43.1%
HumanEval+20.7%—
MBPP+34.1%—

Agentic & Tool Use Not comparable

Gemma 2B: —, Llama 4 Scout: 24.4 (#109)

Agentic & Tool Use benchmarks
BenchmarkGemma 2BLlama 4 Scout
Berkeley Function Calling Leaderboard—28.1%

Reasoning Gemma 2B leads

Gemma 2B: 17.9 (#275), Llama 4 Scout: 9.2 (#339)

Reasoning benchmarks
BenchmarkGemma 2BLlama 4 Scout
LMArena Hard Prompts9891266
Epoch Capabilities Index93.57129.64
ARC-AGI-2—0%
Kagi LLM Benchmark—36.9%
ARC-AGI-1—0.5%
CritPt—0%
DTBench—57.9%
LMCA—12%
BIG-Bench Hard35.2%—
ForecastBench—57.5
HellaSwag71.4%—
PIQA77.3%—
WinoGrande65.4%—

Math Gemma 2B leads

Gemma 2B: 27.6 (#237), Llama 4 Scout: 18.4 (#280)

Math benchmarks
BenchmarkGemma 2BLlama 4 Scout
LMArena Math10091286
OTIS Mock AIME 2024-2025—7.8%
Omni-MATH—37.3%
MATH Level 5—62.3%
FrontierMath (Feb 2025 set)—0%
GSM8K17.7%—

Knowledge Not comparable

Gemma 2B: —, Llama 4 Scout: 31.8 (#208)

Knowledge benchmarks
BenchmarkGemma 2BLlama 4 Scout
GPQA Diamond—51.8%
MMLU-Pro—74.2%
Vectara Hallucination Rate—7.7%
GPQA (HELM)—50.7%
LMArena Expert—1236
ARC (AI2) Challenge42.1%—
BoolQ69.4%—
MMLU42.3%—
TriviaQA53.2%—

Multimodal Not comparable

Gemma 2B: —, Llama 4 Scout: 31.6 (#98)

Multimodal benchmarks
BenchmarkGemma 2BLlama 4 Scout
LMArena Vision—1118
SpatialViz-Bench—34.2%

Multilingual Llama 4 Scout leads

Gemma 2B: 23.1 (#289), Llama 4 Scout: 41.3 (#207)

Multilingual benchmarks
BenchmarkGemma 2BLlama 4 Scout
LMArena Non-English9581253
LMArena Chinese9861256
LMArena Russian9371263
LMArena French—1283
LMArena German—1274
LMArena Japanese—1209
LMArena Korean—1207
LMArena Spanish—1277

Instruction Following Llama 4 Scout leads

Gemma 2B: 48.8 (#297), Llama 4 Scout: 66.0 (#212)

Instruction Following benchmarks
BenchmarkGemma 2BLlama 4 Scout
LMArena Instruction Following9711248
IFEval—81.8%

Long Context Gemma 2B leads

Gemma 2B: 29.9 (#286), Llama 4 Scout: 27.5 (#289)

Long Context benchmarks
BenchmarkGemma 2BLlama 4 Scout
LMArena Longer Query9811265
Fiction.LiveBench—36%

Writing & Preference Llama 4 Scout leads

Gemma 2B: 24.1 (#303), Llama 4 Scout: 37.1 (#256)

Writing & Preference benchmarks
BenchmarkGemma 2BLlama 4 Scout
LMArena Text10021279
LMArena Creative Writing9861249
LMArena Multi-Turn9451281
EQ-Bench Creative Writing—783
WildBench—78%

Frequently asked questions

Is Gemma 2B better than Llama 4 Scout?

Gemma 2B is the stronger model overall, scoring 29.1 to 27.4 on the Noometry Index.

Is Gemma 2B or Llama 4 Scout better for coding?

Gemma 2B scores higher on coding benchmarks: 28.9 versus 19.9 in the Noometry coding category.

How many benchmarks do Gemma 2B and Llama 4 Scout share?

12 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and Llama 4 Scout has 43.

Related comparisons

Go deeper