Model comparison

Llama 13b vs Llama 4 Scout

Llama 4 Scout is the stronger model overall, scoring 27.7 to 24.4 on the Noometry Index.

Last verified . 9 shared benchmarks.

Llama 13b Meta

24.4

Rank #348 Confirmed

Llama 4 Scout Meta

27.7

Rank #330 Confirmed

Summary

  • They share 9 benchmarks with published results for both. Llama 13b scores higher in 3 categories and Llama 4 Scout in 3 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where Llama 4 Scout leads 65.8 to 36.7.

Side by side

Llama 13b and Llama 4 Scout specifications
Llama 13bLlama 4 Scout
ProviderMetaMeta
Noometry Index24.427.7
Released2023-02-242025-04-05
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.30
Results tracked2143

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Category by category

Coding Llama 13b leads

Llama 13b: 21.4 (#337), Llama 4 Scout: 20.2 (#339)

Coding benchmarks
BenchmarkLlama 13bLlama 4 Scout
LMArena Coding6831286
SWE-bench Verified (bash only)—9.1%
SciCode—17%
BigCodeBench Complete—43.1%

Agentic & Tool Use Not comparable

Llama 13b: —, Llama 4 Scout: 24.6 (#119)

Agentic & Tool Use benchmarks
BenchmarkLlama 13bLlama 4 Scout
Berkeley Function Calling Leaderboard—28.1%

Reasoning Llama 13b leads

Llama 13b: 14.0 (#329), Llama 4 Scout: 9.1 (#345)

Reasoning benchmarks
BenchmarkLlama 13bLlama 4 Scout
LMArena Hard Prompts7281266
Epoch Capabilities Index100.58129.64
ARC-AGI-2—0%
Kagi LLM Benchmark—36.9%
ARC-AGI-1—0.5%
CritPt—0%
DTBench—57.9%
LMCA—12%
BIG-Bench Hard37.9%—
ForecastBench—57.5
HellaSwag79.2%—
LAMBADA75.2%—
PIQA80.1%—
WinoGrande73%—

Math Llama 13b leads

Llama 13b: 26.7 (#256), Llama 4 Scout: 19.6 (#286)

Math benchmarks
BenchmarkLlama 13bLlama 4 Scout
LMArena Math8381287
OTIS Mock AIME 2024-2025—7.8%
Omni-MATH—37.3%
MATH Level 5—62.3%
FrontierMath (Feb 2025 set)—0%
GSM8K20.6%—

Knowledge Not comparable

Llama 13b: —, Llama 4 Scout: 31.9 (#217)

Knowledge benchmarks
BenchmarkLlama 13bLlama 4 Scout
GPQA Diamond—51.8%
MMLU-Pro—74.2%
Vectara Hallucination Rate—7.7%
GPQA (HELM)—50.7%
LMArena Expert—1235
ARC (AI2) Challenge52.7%—
BoolQ78.7%—
MMLU47.7%—
OpenBookQA56.4%—
TriviaQA77.9%—

Multimodal Not comparable

Llama 13b: —, Llama 4 Scout: 32.2 (#102)

Multimodal benchmarks
BenchmarkLlama 13bLlama 4 Scout
LMArena Vision—1118
ScienceQA43.3%—
SpatialViz-Bench—34.2%

Multilingual Llama 4 Scout leads

Llama 13b: 16.6 (#297), Llama 4 Scout: 41.0 (#212)

Multilingual benchmarks
BenchmarkLlama 13bLlama 4 Scout
LMArena Non-English8191252
LMArena Chinese—1255
LMArena French—1282
LMArena German—1272
LMArena Japanese—1206
LMArena Korean—1207
LMArena Russian—1263
LMArena Spanish—1278

Instruction Following Llama 4 Scout leads

Llama 13b: 36.7 (#305), Llama 4 Scout: 65.8 (#217)

Instruction Following benchmarks
BenchmarkLlama 13bLlama 4 Scout
LMArena Instruction Following7811248
IFEval—81.8%

Long Context Not comparable

Llama 13b: —, Llama 4 Scout: 27.5 (#294)

Long Context benchmarks
BenchmarkLlama 13bLlama 4 Scout
Fiction.LiveBench—36%
LMArena Longer Query—1265

Writing & Preference Llama 4 Scout leads

Llama 13b: 13.8 (#312), Llama 4 Scout: 37.0 (#261)

Writing & Preference benchmarks
BenchmarkLlama 13bLlama 4 Scout
LMArena Text8341279
LMArena Creative Writing7941249
LMArena Multi-Turn7531280
EQ-Bench Creative Writing—783
WildBench—78%

Frequently asked questions

Is Llama 13b better than Llama 4 Scout?

Llama 4 Scout is the stronger model overall, scoring 27.7 to 24.4 on the Noometry Index.

Is Llama 13b or Llama 4 Scout better for coding?

Llama 13b scores higher on coding benchmarks: 21.4 versus 20.2 in the Noometry coding category.

How many benchmarks do Llama 13b and Llama 4 Scout share?

9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Llama 4 Scout has 43.

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