Model comparison

Llama 3.1-405B vs Olmo 2 0325 32b Instruct

Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 30.7 on the Noometry Index.

Last verified . 16 shared benchmarks.

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Llama 3.1-405B scores higher in 4 categories and Olmo 2 0325 32b Instruct 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 19.5.
  • The biggest single-benchmark swing is MMLU-Pro: 72.3% for Llama 3.1-405B and 41.4% for Olmo 2 0325 32b Instruct.

Side by side

Llama 3.1-405B and Olmo 2 0325 32b Instruct specifications
Llama 3.1-405BOlmo 2 0325 32b Instruct
ProviderMetaAllen Institute for AI (Ai2)
Noometry Index30.732.7
Released2024-07-23—
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked4216

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Category by category

Coding Olmo 2 0325 32b Instruct leads

Llama 3.1-405B: 33.1 (#262), Olmo 2 0325 32b Instruct: 35.2 (#227)

Coding benchmarks
BenchmarkLlama 3.1-405BOlmo 2 0325 32b Instruct
LMArena Coding12911210
WeirdML21.4%—

Agentic & Tool Use Not comparable

Llama 3.1-405B: 21.0 (#140), Olmo 2 0325 32b Instruct: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BOlmo 2 0325 32b Instruct
TheAgentCompany7.4%—
Cybench7.5%—

Reasoning Olmo 2 0325 32b Instruct leads

Llama 3.1-405B: 16.8 (#300), Olmo 2 0325 32b Instruct: 23.6 (#175)

Reasoning benchmarks
BenchmarkLlama 3.1-405BOlmo 2 0325 32b Instruct
LMArena Hard Prompts12691208
SimpleBench23%—
Kagi LLM Benchmark45%—
DTBench61.4%—
BIG-Bench Hard82.9%—
Epoch Capabilities Index128.75—
ForecastBench59.9—
HellaSwag89.2%—
PIQA85.9%—
WinoGrande89.2%—

Math Olmo 2 0325 32b Instruct leads

Llama 3.1-405B: 18.4 (#290), Olmo 2 0325 32b Instruct: 26.8 (#255)

Math benchmarks
BenchmarkLlama 3.1-405BOlmo 2 0325 32b Instruct
Omni-MATH24.9%16.1%
LMArena Math12811208
OTIS Mock AIME 2024-20259.7%—
MATH Level 549.8%—

Knowledge Llama 3.1-405B leads

Llama 3.1-405B: 30.4 (#227), Olmo 2 0325 32b Instruct: 19.5 (#279)

Knowledge benchmarks
BenchmarkLlama 3.1-405BOlmo 2 0325 32b Instruct
MMLU-Pro72.3%41.4%
GPQA (HELM)52.2%28.7%
GPQA Diamond50.9%—
Confabulations17.6%—
LMArena Expert1243—
ARC (AI2) Challenge95.3%—
MMLU84.5%—
TriviaQA82.7%—

Multilingual Llama 3.1-405B leads

Llama 3.1-405B: 40.7 (#214), Olmo 2 0325 32b Instruct: 34.8 (#248)

Multilingual benchmarks
BenchmarkLlama 3.1-405BOlmo 2 0325 32b Instruct
LMArena Non-English12481160
LMArena Chinese12421192
LMArena Russian12651187
LMArena French1279—
LMArena German1252—
LMArena Japanese1208—
LMArena Korean1184—
LMArena Spanish1260—

Instruction Following Llama 3.1-405B leads

Llama 3.1-405B: 65.9 (#214), Olmo 2 0325 32b Instruct: 61.5 (#244)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BOlmo 2 0325 32b Instruct
IFEval81.1%78%
LMArena Instruction Following12591186

Long Context Llama 3.1-405B leads

Llama 3.1-405B: 38.4 (#197), Olmo 2 0325 32b Instruct: 36.2 (#234)

Long Context benchmarks
BenchmarkLlama 3.1-405BOlmo 2 0325 32b Instruct
LMArena Longer Query12661194

Writing & Preference Olmo 2 0325 32b Instruct leads

Llama 3.1-405B: 38.9 (#251), Olmo 2 0325 32b Instruct: 42.1 (#236)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BOlmo 2 0325 32b Instruct
LMArena Text12841218
LMArena Creative Writing12621199
WildBench78.3%73.4%
LMArena Multi-Turn12971221
EQ-Bench Creative Writing870—

Frequently asked questions

Is Llama 3.1-405B better than Olmo 2 0325 32b Instruct?

Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 30.7 on the Noometry Index.

Is Llama 3.1-405B or Olmo 2 0325 32b Instruct better for coding?

Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 35.2 versus 33.1 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and Olmo 2 0325 32b Instruct share?

16 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.

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