Model comparison

Grok-2 (Dec 2024) vs Llama 13b

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 24.4 on the Noometry Index.

Last verified . 9 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Llama 13b Meta

24.4

Rank #348 Confirmed

Summary

  • They share 9 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 5 categories and Llama 13b in 1 category; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok-2 (Dec 2024) leads 48.6 to 13.8.
  • Llama 13b has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024) and Llama 13b specifications
Grok-2 (Dec 2024)Llama 13b
ProviderxAIMeta
Noometry Index33.724.4
Released2024-08-132023-02-24
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3421

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Category by category

Coding Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 33.3 (#258), Llama 13b: 21.4 (#337)

Coding benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 13b
LMArena Coding1287683
WeirdML22.2%—
LiveBench Coding46.4%—

Reasoning Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 16.9 (#299), Llama 13b: 14.0 (#329)

Reasoning benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 13b
LMArena Hard Prompts1272728
Epoch Capabilities Index130.48100.58
SimpleBench22.7%—
LiveBench Reasoning54.8%—
DTBench65.2%—
LiveBench Data Analysis54.5%—
BIG-Bench Hard—37.9%
HellaSwag—79.2%
LAMBADA—75.2%
LiveBench54.3%—
PIQA—80.1%
WinoGrande—73%

Math Llama 13b leads

Grok-2 (Dec 2024): 20.8 (#284), Llama 13b: 26.7 (#256)

Math benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 13b
LMArena Math1283838
OTIS Mock AIME 2024-202511.5%—
LiveBench Math54.9%—
MATH Level 563.5%—
FrontierMath (Feb 2025 set)0.7%—
GSM8K—20.6%

Knowledge Not comparable

Grok-2 (Dec 2024): 29.8 (#233), Llama 13b: —

Knowledge benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 13b
GPQA Diamond53.8%—
Confabulations20.1%—
LMArena Expert1254—
ARC (AI2) Challenge—52.7%
BoolQ—78.7%
MMLU—47.7%
OpenBookQA—56.4%
TriviaQA—77.9%

Multimodal Not comparable

Grok-2 (Dec 2024): —, Llama 13b: —

Multimodal benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 13b
ScienceQA—43.3%

Multilingual Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 43.1 (#188), Llama 13b: 16.6 (#297)

Multilingual benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 13b
LMArena Non-English1282819
LMArena Chinese1289—
LMArena French1318—
LMArena German1287—
LMArena Japanese1244—
LMArena Korean1237—
LMArena Russian1286—
LMArena Spanish1281—

Instruction Following Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 66.9 (#202), Llama 13b: 36.7 (#305)

Instruction Following benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 13b
LMArena Instruction Following1270781
LiveBench Instruction Following69.6%—

Long Context Not comparable

Grok-2 (Dec 2024): 38.8 (#190), Llama 13b: —

Long Context benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 13b
LMArena Longer Query1276—

Writing & Preference Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 48.6 (#198), Llama 13b: 13.8 (#312)

Writing & Preference benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 13b
LMArena Text1305834
LMArena Creative Writing1284794
LMArena Multi-Turn1290753
Short-Story Creative Writing63.6%—
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Llama 13b?

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 24.4 on the Noometry Index.

Is Grok-2 (Dec 2024) or Llama 13b better for coding?

Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 21.4 in the Noometry coding category.

How many benchmarks do Grok-2 (Dec 2024) and Llama 13b share?

9 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Llama 13b has 21.

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