Noometry

Model comparison

Grok-2 (Dec 2024) vs Llama 2-7B

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 29.1 on the Noometry Index.

Last verified . 16 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Llama 2-7B Meta

29.1

Rank #317 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 7 categories and Llama 2-7B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok-2 (Dec 2024) leads 48.6 to 28.0.
  • Llama 2-7B has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024)Llama 2-7B
ProviderxAIMeta
Noometry Index33.729.1
Released2024-08-132023-07-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3429

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Category by category

Coding Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 33.3 (#258), Llama 2-7B: 29.2 (#307)

BenchmarkGrok-2 (Dec 2024)Llama 2-7B
LMArena Coding12871002
WeirdML22.2%—
LiveBench Coding46.4%—

Reasoning Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 16.9 (#299), Llama 2-7B: 15.7 (#312)

BenchmarkGrok-2 (Dec 2024)Llama 2-7B
LMArena Hard Prompts12721009
Epoch Capabilities Index130.4899.06
SimpleBench22.7%—
Chess Puzzles—0%
LiveBench Reasoning54.8%—
DTBench65.2%—
LiveBench Data Analysis54.5%—
BIG-Bench Hard—39.2%
HellaSwag—77.2%
LAMBADA—73.3%
LiveBench54.3%—
PIQA—78.8%
WinoGrande—69.2%

Math Llama 2-7B leads

Grok-2 (Dec 2024): 20.8 (#284), Llama 2-7B: 30.7 (#233)

BenchmarkGrok-2 (Dec 2024)Llama 2-7B
LMArena Math12831042
OTIS Mock AIME 2024-202511.5%—
LiveBench Math54.9%—
MATH Level 563.5%—
FrontierMath (Feb 2025 set)0.7%—
GSM8K—16.7%

Knowledge Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 29.8 (#233), Llama 2-7B: 28.2 (#248)

BenchmarkGrok-2 (Dec 2024)Llama 2-7B
LMArena Expert12541036
GPQA Diamond53.8%—
Confabulations20.1%—
ARC (AI2) Challenge—45.9%
BoolQ—77.9%
MMLU—45.8%
OpenBookQA—58.6%
TriviaQA—73.7%

Multimodal Not comparable

Grok-2 (Dec 2024): —, Llama 2-7B: —

BenchmarkGrok-2 (Dec 2024)Llama 2-7B
ScienceQA—43.1%

Multilingual Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 43.1 (#188), Llama 2-7B: 23.8 (#293)

BenchmarkGrok-2 (Dec 2024)Llama 2-7B
LMArena Non-English1282973
LMArena Chinese1289973
LMArena French1318970
LMArena German1287978
LMArena Russian1286995
LMArena Spanish12811007
LMArena Japanese1244—
LMArena Korean1237—

Instruction Following Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 66.9 (#202), Llama 2-7B: 50.8 (#298)

BenchmarkGrok-2 (Dec 2024)Llama 2-7B
LMArena Instruction Following12701006
LiveBench Instruction Following69.6%—

Long Context Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 38.8 (#190), Llama 2-7B: 30.4 (#287)

BenchmarkGrok-2 (Dec 2024)Llama 2-7B
LMArena Longer Query1276999

Writing & Preference Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 48.6 (#198), Llama 2-7B: 28.0 (#298)

BenchmarkGrok-2 (Dec 2024)Llama 2-7B
LMArena Text13051053
LMArena Creative Writing12841033
LMArena Multi-Turn12901029
Short-Story Creative Writing63.6%—
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Llama 2-7B?

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 29.1 on the Noometry Index.

Is Grok-2 (Dec 2024) or Llama 2-7B better for coding?

Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 29.2 in the Noometry coding category.

How many benchmarks do Grok-2 (Dec 2024) and Llama 2-7B share?

16 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Llama 2-7B has 29.

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