Model comparison

Llama 3.1-405B vs Llama 3.2 1B

Llama 3.1-405B is the stronger model overall, scoring 30.7 to 20.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Llama 3.2 1B Meta

20.1

Rank #354 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Llama 3.1-405B scores higher in 9 categories and Llama 3.2 1B 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 7.2.
  • The biggest single-benchmark swing is GPQA Diamond: 50.9% for Llama 3.1-405B and 23.9% for Llama 3.2 1B.

Side by side

Llama 3.1-405B and Llama 3.2 1B specifications
Llama 3.1-405BLlama 3.2 1B
ProviderMetaMeta
Noometry Index30.720.1
Released2024-07-232024-09-24
WeightsOpenOpen
Context window—60K
Max output—54K
Input $ / M tokens—$0.027
Output $ / M tokens—$0.20
Results tracked4222

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

Category by category

Coding Llama 3.1-405B leads

Llama 3.1-405B: 33.1 (#262), Llama 3.2 1B: 21.1 (#338)

Coding benchmarks
BenchmarkLlama 3.1-405BLlama 3.2 1B
LMArena Coding12911070
WeirdML21.4%—
BigCodeBench Instruct—8.2%
BigCodeBench Complete—11.3%

Agentic & Tool Use Llama 3.1-405B leads

Llama 3.1-405B: 21.0 (#140), Llama 3.2 1B: 14.6 (#150)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BLlama 3.2 1B
Berkeley Function Calling Leaderboard—10.8%
TheAgentCompany7.4%—
Cybench7.5%—
BALROG—6.6%

Reasoning Too close to call

Llama 3.1-405B: 16.8 (#300), Llama 3.2 1B: 16.2 (#308)

Reasoning benchmarks
BenchmarkLlama 3.1-405BLlama 3.2 1B
LMArena Hard Prompts12691044
Epoch Capabilities Index128.75101.99
SimpleBench23%—
Kagi LLM Benchmark45%—
Chess Puzzles—0%
DTBench61.4%—
BIG-Bench Hard82.9%—
ForecastBench59.9—
HellaSwag89.2%—
PIQA85.9%—
WinoGrande89.2%—

Math Llama 3.1-405B leads

Llama 3.1-405B: 18.4 (#290), Llama 3.2 1B: 10.4 (#313)

Math benchmarks
BenchmarkLlama 3.1-405BLlama 3.2 1B
OTIS Mock AIME 2024-20259.7%0.6%
LMArena Math12811086
Omni-MATH24.9%—
MATH Level 549.8%—

Knowledge Llama 3.1-405B leads

Llama 3.1-405B: 30.4 (#227), Llama 3.2 1B: 7.2 (#312)

Knowledge benchmarks
BenchmarkLlama 3.1-405BLlama 3.2 1B
GPQA Diamond50.9%23.9%
LMArena Expert12431007
MMLU-Pro72.3%—
Confabulations17.6%—
GPQA (HELM)52.2%—
ARC (AI2) Challenge95.3%—
MMLU84.5%—
TriviaQA82.7%—

Multilingual Llama 3.1-405B leads

Llama 3.1-405B: 40.7 (#214), Llama 3.2 1B: 23.8 (#292)

Multilingual benchmarks
BenchmarkLlama 3.1-405BLlama 3.2 1B
LMArena Non-English1248973
LMArena Chinese1242959
LMArena German12521014
LMArena Russian1265941
LMArena French1279—
LMArena Japanese1208—
LMArena Korean1184—
LMArena Spanish1260—

Instruction Following Llama 3.1-405B leads

Llama 3.1-405B: 65.9 (#214), Llama 3.2 1B: 52.4 (#290)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BLlama 3.2 1B
LMArena Instruction Following12591031
IFEval81.1%—

Long Context Llama 3.1-405B leads

Llama 3.1-405B: 38.4 (#197), Llama 3.2 1B: 31.9 (#274)

Long Context benchmarks
BenchmarkLlama 3.1-405BLlama 3.2 1B
LMArena Longer Query12661050

Writing & Preference Llama 3.1-405B leads

Llama 3.1-405B: 38.9 (#251), Llama 3.2 1B: 21.3 (#310)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BLlama 3.2 1B
LMArena Text12841055
LMArena Creative Writing12621033
EQ-Bench Creative Writing870200
LMArena Multi-Turn12971030
WildBench78.3%—

Frequently asked questions

Is Llama 3.1-405B better than Llama 3.2 1B?

Llama 3.1-405B is the stronger model overall, scoring 30.7 to 20.1 on the Noometry Index.

Is Llama 3.1-405B or Llama 3.2 1B better for coding?

Llama 3.1-405B scores higher on coding benchmarks: 33.1 versus 21.1 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and Llama 3.2 1B share?

17 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Llama 3.2 1B has 22.

Related comparisons

Go deeper