Model comparison

Llama 3.1-405B vs Llama 3-70B

Llama 3.1-405B is the stronger model overall, scoring 30.7 to 28.8 on the Noometry Index.

Last verified . 27 shared benchmarks.

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Llama 3-70B Meta

28.8

Rank #323 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Llama 3.1-405B scores higher in 5 categories and Llama 3-70B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Llama 3.1-405B leads 30.4 to 20.8.
  • The biggest single-benchmark swing is MATH Level 5: 49.8% for Llama 3.1-405B and 22.6% for Llama 3-70B.

Side by side

Llama 3.1-405B and Llama 3-70B specifications
Llama 3.1-405BLlama 3-70B
ProviderMetaMeta
Noometry Index30.728.8
Released2024-07-232024-04-18
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked4231

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Category by category

Coding Llama 3-70B leads

Llama 3.1-405B: 33.1 (#262), Llama 3-70B: 35.8 (#218)

Coding benchmarks
BenchmarkLlama 3.1-405BLlama 3-70B
LMArena Coding12911206
WeirdML21.4%—
BigCodeBench Instruct—43.6%
BigCodeBench Complete—54.5%
HumanEval+—72%
MBPP+—69%

Agentic & Tool Use Too close to call

Llama 3.1-405B: 21.0 (#140), Llama 3-70B: 21.1 (#139)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BLlama 3-70B
Cybench7.5%5%
TheAgentCompany7.4%—

Reasoning Llama 3-70B leads

Llama 3.1-405B: 16.8 (#300), Llama 3-70B: 18.0 (#288)

Reasoning benchmarks
BenchmarkLlama 3.1-405BLlama 3-70B
Kagi LLM Benchmark45%35.1%
LMArena Hard Prompts12691195
DTBench61.4%54.2%
Epoch Capabilities Index128.75122.93
ForecastBench59.957.1
WinoGrande89.2%83.5%
SimpleBench23%—
BIG-Bench Hard82.9%—
HellaSwag89.2%—
PIQA85.9%—

Math Llama 3.1-405B leads

Llama 3.1-405B: 18.4 (#290), Llama 3-70B: 12.8 (#305)

Math benchmarks
BenchmarkLlama 3.1-405BLlama 3-70B
OTIS Mock AIME 2024-20259.7%4.3%
LMArena Math12811218
MATH Level 549.8%22.6%
Omni-MATH24.9%—

Knowledge Llama 3.1-405B leads

Llama 3.1-405B: 30.4 (#227), Llama 3-70B: 20.8 (#277)

Knowledge benchmarks
BenchmarkLlama 3.1-405BLlama 3-70B
GPQA Diamond50.9%40.6%
LMArena Expert12431149
MMLU84.5%79.3%
MMLU-Pro72.3%—
Confabulations17.6%—
GPQA (HELM)52.2%—
ARC (AI2) Challenge95.3%—
TriviaQA82.7%—

Multilingual Llama 3.1-405B leads

Llama 3.1-405B: 40.7 (#214), Llama 3-70B: 33.6 (#251)

Multilingual benchmarks
BenchmarkLlama 3.1-405BLlama 3-70B
LMArena Non-English12481142
LMArena Chinese12421114
LMArena French12791232
LMArena German12521169
LMArena Japanese12081017
LMArena Korean11841017
LMArena Russian12651159
LMArena Spanish12601241

Instruction Following Llama 3.1-405B leads

Llama 3.1-405B: 65.9 (#214), Llama 3-70B: 62.5 (#238)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BLlama 3-70B
LMArena Instruction Following12591194
IFEval81.1%—

Long Context Llama 3.1-405B leads

Llama 3.1-405B: 38.4 (#197), Llama 3-70B: 35.6 (#240)

Long Context benchmarks
BenchmarkLlama 3.1-405BLlama 3-70B
LMArena Longer Query12661174

Writing & Preference Llama 3-70B leads

Llama 3.1-405B: 38.9 (#251), Llama 3-70B: 42.8 (#231)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BLlama 3-70B
LMArena Text12841221
LMArena Creative Writing12621210
LMArena Multi-Turn12971223
EQ-Bench Creative Writing870—
WildBench78.3%—

Frequently asked questions

Is Llama 3.1-405B better than Llama 3-70B?

Llama 3.1-405B is the stronger model overall, scoring 30.7 to 28.8 on the Noometry Index.

Is Llama 3.1-405B or Llama 3-70B better for coding?

Llama 3-70B scores higher on coding benchmarks: 35.8 versus 33.1 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and Llama 3-70B share?

27 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Llama 3-70B has 31.

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