Model comparison

Llama 13b vs Llama 3.1-8B

Llama 13b is the stronger model overall, scoring 24.4 to 23.0 on the Noometry Index.

Last verified . 13 shared benchmarks.

Llama 13b Meta

24.4

Rank #348 Confirmed

Llama 3.1-8B Meta

23.0

Rank #352 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Llama 13b scores higher in 2 categories and Llama 3.1-8B in 4 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where Llama 3.1-8B leads 58.9 to 36.7.

Side by side

Llama 13b and Llama 3.1-8B specifications
Llama 13bLlama 3.1-8B
ProviderMetaMeta
Noometry Index24.423.0
Released2023-02-242024-07-23
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.05
Output $ / M tokens—$0.08
Results tracked2143

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Category by category

Coding Llama 13b leads

Llama 13b: 21.4 (#337), Llama 3.1-8B: 20.2 (#340)

Coding benchmarks
BenchmarkLlama 13bLlama 3.1-8B
LMArena Coding6831195
SciCode—13.2%
WeirdML—1.7%
BigCodeBench Instruct—32.8%
BigCodeBench Complete—40.5%
HumanEval+—62.8%
MBPP+—55.6%

Agentic & Tool Use Not comparable

Llama 13b: —, Llama 3.1-8B: 22.5 (#131)

Agentic & Tool Use benchmarks
BenchmarkLlama 13bLlama 3.1-8B
Berkeley Function Calling Leaderboard—25.8%
BALROG—15.1%

Reasoning Too close to call

Llama 13b: 14.0 (#329), Llama 3.1-8B: 14.9 (#321)

Reasoning benchmarks
BenchmarkLlama 13bLlama 3.1-8B
LMArena Hard Prompts7281175
Epoch Capabilities Index100.58116.57
PIQA80.1%81.2%
CritPt—0%
Chess Puzzles—0%
DTBench—50.9%
LMCA—5.4%
BIG-Bench Hard37.9%—
HellaSwag79.2%—
LAMBADA75.2%—
WinoGrande73%—

Math Llama 13b leads

Llama 13b: 26.7 (#256), Llama 3.1-8B: 10.2 (#317)

Math benchmarks
BenchmarkLlama 13bLlama 3.1-8B
LMArena Math8381179
GSM8K20.6%82.4%
OTIS Mock AIME 2024-2025—1.7%
Omni-MATH—13.7%
MATH Level 5—22.9%

Knowledge Not comparable

Llama 13b: —, Llama 3.1-8B: 8.0 (#307)

Knowledge benchmarks
BenchmarkLlama 13bLlama 3.1-8B
BoolQ78.7%82.8%
MMLU47.7%56.1%
GPQA Diamond—27%
MMLU-Pro—40.6%
GPQA (HELM)—24.7%
LMArena Expert—1144
ARC (AI2) Challenge52.7%—
OpenBookQA56.4%—
TriviaQA77.9%—

Multimodal Not comparable

Llama 13b: —, Llama 3.1-8B: —

Multimodal benchmarks
BenchmarkLlama 13bLlama 3.1-8B
ScienceQA43.3%—

Multilingual Llama 3.1-8B leads

Llama 13b: 16.6 (#297), Llama 3.1-8B: 34.0 (#249)

Multilingual benchmarks
BenchmarkLlama 13bLlama 3.1-8B
LMArena Non-English8191148
LMArena Chinese—1151
LMArena French—1177
LMArena German—1144
LMArena Japanese—1061
LMArena Korean—1053
LMArena Russian—1158
LMArena Spanish—1169

Instruction Following Llama 3.1-8B leads

Llama 13b: 36.7 (#305), Llama 3.1-8B: 58.9 (#258)

Instruction Following benchmarks
BenchmarkLlama 13bLlama 3.1-8B
LMArena Instruction Following7811159
IFEval—74.3%

Long Context Not comparable

Llama 13b: —, Llama 3.1-8B: 35.8 (#238)

Long Context benchmarks
BenchmarkLlama 13bLlama 3.1-8B
LMArena Longer Query—1182

Writing & Preference Llama 3.1-8B leads

Llama 13b: 13.8 (#312), Llama 3.1-8B: 29.7 (#290)

Writing & Preference benchmarks
BenchmarkLlama 13bLlama 3.1-8B
LMArena Text8341187
LMArena Creative Writing7941154
LMArena Multi-Turn7531172
EQ-Bench Creative Writing—713
WildBench—68.7%

Frequently asked questions

Is Llama 13b better than Llama 3.1-8B?

Llama 13b is the stronger model overall, scoring 24.4 to 23.0 on the Noometry Index.

Is Llama 13b or Llama 3.1-8B 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 3.1-8B share?

13 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Llama 3.1-8B has 43.

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