Model comparison

Llama 3.1-405B vs Llama 3-8B

Llama 3.1-405B is the stronger model overall, scoring 30.4 to 25.3 on the Noometry Index.

Last verified . 27 shared benchmarks.

Llama 3.1-405B Meta

30.4

Rank #279 Confirmed

Llama 3-8B Meta

25.3

Rank #338 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Llama 3.1-405B scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Llama 3.1-405B leads 30.4 to 7.8.
  • The biggest single-benchmark swing is MATH Level 5: 49.8% for Llama 3.1-405B and 6.1% for Llama 3-8B.

Side by side

Llama 3.1-405B and Llama 3-8B specifications
Llama 3.1-405BLlama 3-8B
ProviderMetaMeta
Noometry Index30.425.3
Released2024-07-232024-04-18
WeightsOpenOpen
Context window—8K
Max output—8K
Input $ / M tokens—$0.14
Output $ / M tokens—$0.14
Results tracked4234

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Category by category

Coding Llama 3.1-405B leads

Llama 3.1-405B: 32.7 (#257), Llama 3-8B: 30.5 (#285)

Coding benchmarks
BenchmarkLlama 3.1-405BLlama 3-8B
LMArena Coding12911152
WeirdML21.4%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

Llama 3.1-405B: 20.9 (#131), Llama 3-8B: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BLlama 3-8B
TheAgentCompany7.4%—
Cybench7.5%—

Reasoning Llama 3.1-405B leads

Llama 3.1-405B: 16.4 (#293), Llama 3-8B: 13.8 (#321)

Reasoning benchmarks
BenchmarkLlama 3.1-405BLlama 3-8B
LMArena Hard Prompts12701133
DTBench61.4%43.9%
Epoch Capabilities Index128.76116.33
ForecastBench59.958.6
WinoGrande89.2%75.7%
SimpleBench23%—
Kagi LLM Benchmark45%—
Chess Puzzles—0%
Adversarial NLI—57.3%
BIG-Bench Hard82.9%—
HellaSwag89.2%—
PIQA85.9%—

Math Llama 3.1-405B leads

Llama 3.1-405B: 17.3 (#283), Llama 3-8B: 8.3 (#317)

Math benchmarks
BenchmarkLlama 3.1-405BLlama 3-8B
OTIS Mock AIME 2024-20259.7%1.9%
LMArena Math12811151
MATH Level 549.8%6.1%
Omni-MATH24.9%—

Knowledge Llama 3.1-405B leads

Llama 3.1-405B: 30.4 (#221), Llama 3-8B: 7.8 (#303)

Knowledge benchmarks
BenchmarkLlama 3.1-405BLlama 3-8B
GPQA Diamond50.9%26.1%
LMArena Expert12431113
ARC (AI2) Challenge95.3%82.8%
MMLU84.5%68.8%
TriviaQA82.7%67.7%
MMLU-Pro72.3%—
Confabulations17.6%—
GPQA (HELM)52.2%—
OpenBookQA—82.6%

Multilingual Llama 3.1-405B leads

Llama 3.1-405B: 40.9 (#209), Llama 3-8B: 31.0 (#256)

Multilingual benchmarks
BenchmarkLlama 3.1-405BLlama 3-8B
LMArena Non-English12481098
LMArena Chinese12421076
LMArena French12781158
LMArena German12521104
LMArena Japanese1208967
LMArena Korean11841003
LMArena Russian12651109
LMArena Spanish12591172

Instruction Following Llama 3.1-405B leads

Llama 3.1-405B: 66.1 (#209), Llama 3-8B: 58.7 (#255)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BLlama 3-8B
LMArena Instruction Following12591127
IFEval81.1%—

Long Context Llama 3.1-405B leads

Llama 3.1-405B: 38.4 (#192), Llama 3-8B: 34.2 (#246)

Long Context benchmarks
BenchmarkLlama 3.1-405BLlama 3-8B
LMArena Longer Query12661128

Writing & Preference Llama 3.1-405B leads

Llama 3.1-405B: 39.1 (#246), Llama 3-8B: 37.7 (#251)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BLlama 3-8B
LMArena Text12841166
LMArena Creative Writing12621150
LMArena Multi-Turn12971152
EQ-Bench Creative Writing870—
WildBench78.3%—

Frequently asked questions

Is Llama 3.1-405B better than Llama 3-8B?

Llama 3.1-405B is the stronger model overall, scoring 30.4 to 25.3 on the Noometry Index.

Is Llama 3.1-405B or Llama 3-8B better for coding?

Llama 3.1-405B scores higher on coding benchmarks: 32.7 versus 30.5 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and Llama 3-8B share?

27 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Llama 3-8B has 34.

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