Noometry

Model comparison

Grok 4 vs Llama 3-8B

Grok 4 is the stronger model overall, scoring 48.1 to 25.5 on the Noometry Index.

Last verified . 22 shared benchmarks.

Grok 4 xAI

48.1

Rank #56 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Grok 4 scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok 4 leads 53.8 to 7.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84% for Grok 4 and 1.9% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Grok 4Llama 3-8B
ProviderxAIMeta
Noometry Index48.125.5
Released2025-07-092024-04-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked4834

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Category by category

Coding Grok 4 leads

Grok 4: 50.3 (#46), Llama 3-8B: 31.0 (#289)

BenchmarkGrok 4Llama 3-8B
LMArena Coding14081152
Aider Polyglot79.6%—
WeirdML45.7%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

Grok 4: 32.3 (#68), Llama 3-8B: —

BenchmarkGrok 4Llama 3-8B
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 3-8B: 14.3 (#326)

BenchmarkGrok 4Llama 3-8B
Chess Puzzles28%0%
LMArena Hard Prompts14091133
Epoch Capabilities Index146.44116.45
ForecastBench60.958.6
ARC-AGI-216%—
SimpleBench60.5%—
Kagi LLM Benchmark73.6%—
ARC-AGI-166.7%—
DTBench—43.9%
Adversarial NLI—57.3%
WinoGrande—75.7%

Math Grok 4 leads

Grok 4: 48.4 (#64), Llama 3-8B: 8.8 (#323)

BenchmarkGrok 4Llama 3-8B
OTIS Mock AIME 2024-202584%1.9%
LMArena Math14221151
Omni-MATH60.3%—
MATH Level 5—6.1%
FrontierMath (Feb 2025 set)19.7%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge Grok 4 leads

Grok 4: 53.8 (#55), Llama 3-8B: 7.8 (#308)

BenchmarkGrok 4Llama 3-8B
GPQA Diamond87%26.1%
LMArena Expert14151113
MMLU-Pro85.1%—
Confabulations12.4%—
GPQA (HELM)72.7%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

Grok 4: 33.7 (#94), Llama 3-8B: —

BenchmarkGrok 4Llama 3-8B
LMArena Vision1210—
GeoBench45%—

Multilingual Grok 4 leads

Grok 4: 51.8 (#103), Llama 3-8B: 30.8 (#261)

BenchmarkGrok 4Llama 3-8B
LMArena Non-English14031098
LMArena Chinese14271076
LMArena French14181159
LMArena German14291104
LMArena Japanese1394967
LMArena Korean13771004
LMArena Russian14101109
LMArena Spanish14201173

Instruction Following Grok 4 leads

Grok 4: 79.2 (#5), Llama 3-8B: 58.4 (#260)

BenchmarkGrok 4Llama 3-8B
LMArena Instruction Following13871127
IFEval94.9%—

Long Context Grok 4 leads

Grok 4: 63.1 (#4), Llama 3-8B: 34.2 (#251)

BenchmarkGrok 4Llama 3-8B
LMArena Longer Query14091128
Fiction.LiveBench94.4%—

Writing & Preference Grok 4 leads

Grok 4: 58.5 (#116), Llama 3-8B: 37.5 (#256)

BenchmarkGrok 4Llama 3-8B
LMArena Text14111166
LMArena Creative Writing13971150
LMArena Multi-Turn14161152
Short-Story Creative Writing76.9%—
WildBench79.7%—

Frequently asked questions

Is Grok 4 better than Llama 3-8B?

Grok 4 is the stronger model overall, scoring 48.1 to 25.5 on the Noometry Index.

Is Grok 4 or Llama 3-8B better for coding?

Grok 4 scores higher on coding benchmarks: 50.3 versus 31.0 in the Noometry coding category.

How many benchmarks do Grok 4 and Llama 3-8B share?

22 benchmarks have published results for both models. Grok 4 has 48 scored results on Noometry and Llama 3-8B has 34.

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