Noometry

Model comparison

Grok 4 Fast vs Llama 3-8B

Grok 4 Fast is the stronger model overall, scoring 39.4 to 25.5 on the Noometry Index.

Last verified . 20 shared benchmarks.

Grok 4 Fast xAI

39.4

Rank #167 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Grok 4 Fast scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Grok 4 Fast leads 38.9 to 8.8.
  • The biggest single-benchmark swing is DTBench: 82.7% for Grok 4 Fast and 43.9% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Grok 4 FastLlama 3-8B
ProviderxAIMeta
Noometry Index39.425.5
Released2025-09-192024-04-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3034

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Category by category

Coding Grok 4 Fast leads

Grok 4 Fast: 32.5 (#271), Llama 3-8B: 31.0 (#289)

BenchmarkGrok 4 FastLlama 3-8B
LMArena Coding14291152
LMArena WebDev1159—
WeirdML42.9%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

Grok 4 Fast: 29.5 (#86), Llama 3-8B: —

BenchmarkGrok 4 FastLlama 3-8B
τ²-bench Banking15.7%—
Cybench30%—
LMArena Search1171—

Reasoning Grok 4 Fast leads

Grok 4 Fast: 22.2 (#201), Llama 3-8B: 14.3 (#326)

BenchmarkGrok 4 FastLlama 3-8B
LMArena Hard Prompts14121133
DTBench82.7%43.9%
Epoch Capabilities Index144.2116.45
ForecastBench60.558.6
ARC-AGI-25.3%—
Kagi LLM Benchmark66.1%—
ARC-AGI-148.5%—
Chess Puzzles—0%
Adversarial NLI—57.3%
WinoGrande—75.7%

Math Grok 4 Fast leads

Grok 4 Fast: 38.9 (#123), Llama 3-8B: 8.8 (#323)

BenchmarkGrok 4 FastLlama 3-8B
LMArena Math14191151
OTIS Mock AIME 2024-2025—1.9%
MATH Level 5—6.1%

Knowledge Grok 4 Fast leads

Grok 4 Fast: 32.0 (#214), Llama 3-8B: 7.8 (#308)

BenchmarkGrok 4 FastLlama 3-8B
LMArena Expert14111113
GPQA Diamond—26.1%
Vectara Hallucination Rate19.7%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multilingual Grok 4 Fast leads

Grok 4 Fast: 51.3 (#111), Llama 3-8B: 30.8 (#261)

BenchmarkGrok 4 FastLlama 3-8B
LMArena Non-English13961098
LMArena Chinese14571076
LMArena French14311159
LMArena German13831104
LMArena Japanese1352967
LMArena Korean13571004
LMArena Russian13891109
LMArena Spanish14151173

Instruction Following Grok 4 Fast leads

Grok 4 Fast: 73.2 (#121), Llama 3-8B: 58.4 (#260)

BenchmarkGrok 4 FastLlama 3-8B
LMArena Instruction Following13871127

Long Context Grok 4 Fast leads

Grok 4 Fast: 63.2 (#3), Llama 3-8B: 34.2 (#251)

BenchmarkGrok 4 FastLlama 3-8B
LMArena Longer Query14151128
Fiction.LiveBench94.4%—

Writing & Preference Grok 4 Fast leads

Grok 4 Fast: 60.0 (#102), Llama 3-8B: 37.5 (#256)

BenchmarkGrok 4 FastLlama 3-8B
LMArena Text14071166
LMArena Creative Writing13871150
LMArena Multi-Turn14141152

Frequently asked questions

Is Grok 4 Fast better than Llama 3-8B?

Grok 4 Fast is the stronger model overall, scoring 39.4 to 25.5 on the Noometry Index.

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

Grok 4 Fast scores higher on coding benchmarks: 32.5 versus 31.0 in the Noometry coding category.

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

20 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Llama 3-8B has 34.

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