Model comparison

Llama 3.1-405B vs Llama2 70b Steerlm Chat

Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 30.7 on the Noometry Index.

Last verified . 9 shared benchmarks.

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Llama2 70b Steerlm Chat NVIDIA

31.8

Rank #268 Confirmed

Summary

  • They share 9 benchmarks with published results for both. Llama 3.1-405B scores higher in 5 categories and Llama2 70b Steerlm Chat in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Llama2 70b Steerlm Chat leads 31.3 to 18.4.

Side by side

Llama 3.1-405B and Llama2 70b Steerlm Chat specifications
Llama 3.1-405BLlama2 70b Steerlm Chat
ProviderMetaNVIDIA
Noometry Index30.731.8
Released2024-07-23—
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked429

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Category by category

Coding Llama 3.1-405B leads

Llama 3.1-405B: 33.1 (#262), Llama2 70b Steerlm Chat: 29.9 (#300)

Coding benchmarks
BenchmarkLlama 3.1-405BLlama2 70b Steerlm Chat
LMArena Coding12911025
WeirdML21.4%—

Agentic & Tool Use Not comparable

Llama 3.1-405B: 21.0 (#140), Llama2 70b Steerlm Chat: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BLlama2 70b Steerlm Chat
TheAgentCompany7.4%—
Cybench7.5%—

Reasoning Llama2 70b Steerlm Chat leads

Llama 3.1-405B: 16.8 (#300), Llama2 70b Steerlm Chat: 20.0 (#246)

Reasoning benchmarks
BenchmarkLlama 3.1-405BLlama2 70b Steerlm Chat
LMArena Hard Prompts12691047
SimpleBench23%—
Kagi LLM Benchmark45%—
DTBench61.4%—
BIG-Bench Hard82.9%—
Epoch Capabilities Index128.75—
ForecastBench59.9—
HellaSwag89.2%—
PIQA85.9%—
WinoGrande89.2%—

Math Llama2 70b Steerlm Chat leads

Llama 3.1-405B: 18.4 (#290), Llama2 70b Steerlm Chat: 31.3 (#226)

Math benchmarks
BenchmarkLlama 3.1-405BLlama2 70b Steerlm Chat
LMArena Math12811072
OTIS Mock AIME 2024-20259.7%—
Omni-MATH24.9%—
MATH Level 549.8%—

Knowledge Not comparable

Llama 3.1-405B: 30.4 (#227), Llama2 70b Steerlm Chat: —

Knowledge benchmarks
BenchmarkLlama 3.1-405BLlama2 70b Steerlm Chat
GPQA Diamond50.9%—
MMLU-Pro72.3%—
Confabulations17.6%—
GPQA (HELM)52.2%—
LMArena Expert1243—
ARC (AI2) Challenge95.3%—
MMLU84.5%—
TriviaQA82.7%—

Multilingual Llama 3.1-405B leads

Llama 3.1-405B: 40.7 (#214), Llama2 70b Steerlm Chat: 28.8 (#270)

Multilingual benchmarks
BenchmarkLlama 3.1-405BLlama2 70b Steerlm Chat
LMArena Non-English12481063
LMArena Chinese1242—
LMArena French1279—
LMArena German1252—
LMArena Japanese1208—
LMArena Korean1184—
LMArena Russian1265—
LMArena Spanish1260—

Instruction Following Llama 3.1-405B leads

Llama 3.1-405B: 65.9 (#214), Llama2 70b Steerlm Chat: 54.2 (#279)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BLlama2 70b Steerlm Chat
LMArena Instruction Following12591060
IFEval81.1%—

Long Context Llama 3.1-405B leads

Llama 3.1-405B: 38.4 (#197), Llama2 70b Steerlm Chat: 30.4 (#288)

Long Context benchmarks
BenchmarkLlama 3.1-405BLlama2 70b Steerlm Chat
LMArena Longer Query1266998

Writing & Preference Llama 3.1-405B leads

Llama 3.1-405B: 38.9 (#251), Llama2 70b Steerlm Chat: 31.6 (#283)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BLlama2 70b Steerlm Chat
LMArena Text12841098
LMArena Creative Writing12621091
LMArena Multi-Turn12971058
EQ-Bench Creative Writing870—
WildBench78.3%—

Frequently asked questions

Is Llama 3.1-405B better than Llama2 70b Steerlm Chat?

Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 30.7 on the Noometry Index.

Is Llama 3.1-405B or Llama2 70b Steerlm Chat better for coding?

Llama 3.1-405B scores higher on coding benchmarks: 33.1 versus 29.9 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and Llama2 70b Steerlm Chat share?

9 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Llama2 70b Steerlm Chat has 9.

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