Noometry

Model comparison

Grok-2 (Dec 2024) vs Llama 3.1-405B

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.7 on the Noometry Index.

Last verified . 25 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 25 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 7 categories and Llama 3.1-405B in 1 category; 3 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok-2 (Dec 2024) leads 48.6 to 38.9.
  • The biggest single-benchmark swing is MATH Level 5: 63.5% for Grok-2 (Dec 2024) and 49.8% for Llama 3.1-405B.
  • Llama 3.1-405B has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024)Llama 3.1-405B
ProviderxAIMeta
Noometry Index33.730.7
Released2024-08-132024-07-23
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3442

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Category by category

Coding Too close to call

Grok-2 (Dec 2024): 33.3 (#258), Llama 3.1-405B: 33.1 (#262)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-405B
WeirdML22.2%21.4%
LMArena Coding12871291
LiveBench Coding46.4%—

Agentic & Tool Use Not comparable

Grok-2 (Dec 2024): —, Llama 3.1-405B: 21.0 (#140)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-405B
TheAgentCompany—7.4%
Cybench—7.5%

Reasoning Too close to call

Grok-2 (Dec 2024): 16.9 (#299), Llama 3.1-405B: 16.8 (#300)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-405B
SimpleBench22.7%23%
LMArena Hard Prompts12721269
DTBench65.2%61.4%
Epoch Capabilities Index130.48128.75
Kagi LLM Benchmark—45%
LiveBench Reasoning54.8%—
LiveBench Data Analysis54.5%—
BIG-Bench Hard—82.9%
ForecastBench—59.9
HellaSwag—89.2%
LiveBench54.3%—
PIQA—85.9%
WinoGrande—89.2%

Math Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 20.8 (#284), Llama 3.1-405B: 18.4 (#290)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-405B
OTIS Mock AIME 2024-202511.5%9.7%
LMArena Math12831281
MATH Level 563.5%49.8%
Omni-MATH—24.9%
LiveBench Math54.9%—
FrontierMath (Feb 2025 set)0.7%—

Knowledge Too close to call

Grok-2 (Dec 2024): 29.8 (#233), Llama 3.1-405B: 30.4 (#227)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-405B
GPQA Diamond53.8%50.9%
Confabulations20.1%17.6%
LMArena Expert12541243
MMLU-Pro—72.3%
GPQA (HELM)—52.2%
ARC (AI2) Challenge—95.3%
MMLU—84.5%
TriviaQA—82.7%

Multilingual Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 43.1 (#188), Llama 3.1-405B: 40.7 (#214)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-405B
LMArena Non-English12821248
LMArena Chinese12891242
LMArena French13181279
LMArena German12871252
LMArena Japanese12441208
LMArena Korean12371184
LMArena Russian12861265
LMArena Spanish12811260

Instruction Following Too close to call

Grok-2 (Dec 2024): 66.9 (#202), Llama 3.1-405B: 65.9 (#214)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-405B
LMArena Instruction Following12701259
LiveBench Instruction Following69.6%—
IFEval—81.1%

Long Context Too close to call

Grok-2 (Dec 2024): 38.8 (#190), Llama 3.1-405B: 38.4 (#197)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-405B
LMArena Longer Query12761266

Writing & Preference Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 48.6 (#198), Llama 3.1-405B: 38.9 (#251)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-405B
LMArena Text13051284
LMArena Creative Writing12841262
LMArena Multi-Turn12901297
Short-Story Creative Writing63.6%—
EQ-Bench Creative Writing—870
WildBench—78.3%
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Llama 3.1-405B?

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.7 on the Noometry Index.

Is Grok-2 (Dec 2024) or Llama 3.1-405B better for coding?

They score almost the same on coding (33.3 vs 33.1); test both on your own repository before choosing.

How many benchmarks do Grok-2 (Dec 2024) and Llama 3.1-405B share?

25 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Llama 3.1-405B has 42.

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