Noometry

Model comparison

Grok 4 vs Llama 2-13B

Grok 4 is the stronger model overall, scoring 48.1 to 29.6 on the Noometry Index.

Last verified . 19 shared benchmarks.

Grok 4 xAI

48.1

Rank #56 Confirmed

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Grok 4 scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Grok 4 leads 63.1 to 32.3.
  • The biggest single-benchmark swing is Chess Puzzles: 28% for Grok 4 and 0% for Llama 2-13B.
  • Llama 2-13B has downloadable open weights; the other is API-only.

Side by side

Grok 4Llama 2-13B
ProviderxAIMeta
Noometry Index48.129.6
Released2025-07-092023-07-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked4832

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Category by category

Coding Grok 4 leads

Grok 4: 50.3 (#46), Llama 2-13B: 30.9 (#291)

BenchmarkGrok 4Llama 2-13B
LMArena Coding14081062
Aider Polyglot79.6%—
WeirdML45.7%—

Agentic & Tool Use Not comparable

Grok 4: 32.3 (#68), Llama 2-13B: —

BenchmarkGrok 4Llama 2-13B
Terminal-Bench27.2%—
Berkeley Function Calling Leaderboard63%—
GDPval21.1%—
Cybench43%—
DeepResearch Bench47.3%—
BALROG43.6%—
LMArena Search1142—
METR Time Horizons66.6%—

Reasoning Grok 4 leads

Grok 4: 36.7 (#65), Llama 2-13B: 12.8 (#337)

BenchmarkGrok 4Llama 2-13B
Chess Puzzles28%0%
LMArena Hard Prompts14091051
Epoch Capabilities Index146.44106.17
ARC-AGI-216%—
SimpleBench60.5%—
Kagi LLM Benchmark73.6%—
ARC-AGI-166.7%—
DTBench—42.2%
BIG-Bench Hard—58.2%
ForecastBench60.9—
HellaSwag—80.7%
LAMBADA—76.5%
PIQA—80.8%
WinoGrande—72.8%

Math Grok 4 leads

Grok 4: 48.4 (#64), Llama 2-13B: 31.1 (#229)

BenchmarkGrok 4Llama 2-13B
LMArena Math14221065
OTIS Mock AIME 2024-202584%—
Omni-MATH60.3%—
FrontierMath (Feb 2025 set)19.7%—
FrontierMath Tier 4 (v1)2.1%—
GSM8K—36.9%

Knowledge Grok 4 leads

Grok 4: 53.8 (#55), Llama 2-13B: 28.1 (#249)

BenchmarkGrok 4Llama 2-13B
LMArena Expert14151030
GPQA Diamond87%—
MMLU-Pro85.1%—
Confabulations12.4%—
GPQA (HELM)72.7%—
ARC (AI2) Challenge—60.3%
BoolQ—82.4%
MMLU—55.6%
OpenBookQA—57%
TriviaQA—79.6%

Multimodal Not comparable

Grok 4: 33.7 (#94), Llama 2-13B: —

BenchmarkGrok 4Llama 2-13B
LMArena Vision1210—
GeoBench45%—
ScienceQA—55.8%

Multilingual Grok 4 leads

Grok 4: 51.8 (#103), Llama 2-13B: 26.5 (#279)

BenchmarkGrok 4Llama 2-13B
LMArena Non-English14031024
LMArena Chinese14271001
LMArena French14181044
LMArena German14291009
LMArena Japanese1394894
LMArena Korean1377953
LMArena Russian14101055
LMArena Spanish14201087

Instruction Following Grok 4 leads

Grok 4: 79.2 (#5), Llama 2-13B: 53.3 (#287)

BenchmarkGrok 4Llama 2-13B
LMArena Instruction Following13871045
IFEval94.9%—

Long Context Grok 4 leads

Grok 4: 63.1 (#4), Llama 2-13B: 32.3 (#269)

BenchmarkGrok 4Llama 2-13B
LMArena Longer Query14091064
Fiction.LiveBench94.4%—

Writing & Preference Grok 4 leads

Grok 4: 58.5 (#116), Llama 2-13B: 29.8 (#289)

BenchmarkGrok 4Llama 2-13B
LMArena Text14111084
LMArena Creative Writing13971047
LMArena Multi-Turn14161050
Short-Story Creative Writing76.9%—
WildBench79.7%—

Frequently asked questions

Is Grok 4 better than Llama 2-13B?

Grok 4 is the stronger model overall, scoring 48.1 to 29.6 on the Noometry Index.

Is Grok 4 or Llama 2-13B better for coding?

Grok 4 scores higher on coding benchmarks: 50.3 versus 30.9 in the Noometry coding category.

How many benchmarks do Grok 4 and Llama 2-13B share?

19 benchmarks have published results for both models. Grok 4 has 48 scored results on Noometry and Llama 2-13B has 32.

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