Model comparison

Grok 3 vs Llama 3-8B

Grok 3 is the stronger model overall, scoring 39.6 to 25.3 on the Noometry Index.

Last verified . 21 shared benchmarks.

Grok 3 xAI

39.6

Rank #150 Confirmed

Llama 3-8B Meta

25.3

Rank #338 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Grok 3 scores higher in 7 categories and Llama 3-8B in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok 3 leads 46.0 to 7.8.
  • The biggest single-benchmark swing is MATH Level 5: 88.7% for Grok 3 and 6.1% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Grok 3 and Llama 3-8B specifications
Grok 3Llama 3-8B
ProviderxAIMeta
Noometry Index39.625.3
Released2025-04-092024-04-18
WeightsProprietaryOpen
Context window—8K
Max output—8K
Input $ / M tokens—$0.14
Output $ / M tokens—$0.14
Results tracked4034

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Category by category

Coding Grok 3 leads

Grok 3: 41.5 (#113), Llama 3-8B: 30.5 (#285)

Coding benchmarks
BenchmarkGrok 3Llama 3-8B
LMArena Coding14321152
Aider Polyglot53.3%—
WeirdML37.2%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

Grok 3: 30.2 (#69), Llama 3-8B: —

Agentic & Tool Use benchmarks
BenchmarkGrok 3Llama 3-8B
BALROG29.5%—

Reasoning Too close to call

Grok 3: 13.8 (#322), Llama 3-8B: 13.8 (#321)

Reasoning benchmarks
BenchmarkGrok 3Llama 3-8B
LMArena Hard Prompts14331133
Epoch Capabilities Index138.34116.33
ARC-AGI-20%—
SimpleBench36.1%—
Kagi LLM Benchmark61.3%—
ARC-AGI-15.5%—
Chess Puzzles—0%
DTBench—43.9%
Adversarial NLI—57.3%
ForecastBench—58.6
WinoGrande—75.7%

Math Grok 3 leads

Grok 3: 36.2 (#122), Llama 3-8B: 8.3 (#317)

Math benchmarks
BenchmarkGrok 3Llama 3-8B
OTIS Mock AIME 2024-202555.6%1.9%
LMArena Math13901151
MATH Level 588.7%6.1%
Omni-MATH46.4%—
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)0%—

Knowledge Grok 3 leads

Grok 3: 46.0 (#76), Llama 3-8B: 7.8 (#303)

Knowledge benchmarks
BenchmarkGrok 3Llama 3-8B
GPQA Diamond75.8%26.1%
LMArena Expert14201113
MMLU-Pro78.8%—
Confabulations14.2%—
Vectara Hallucination Rate5.8%—
GPQA (HELM)65%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multilingual Grok 3 leads

Grok 3: 52.5 (#81), Llama 3-8B: 31.0 (#256)

Multilingual benchmarks
BenchmarkGrok 3Llama 3-8B
LMArena Non-English14111098
LMArena Chinese14481076
LMArena French14601158
LMArena German14311104
LMArena Japanese1389967
LMArena Korean13741003
LMArena Russian14161109
LMArena Spanish14171172

Instruction Following Grok 3 leads

Grok 3: 75.2 (#69), Llama 3-8B: 58.7 (#255)

Instruction Following benchmarks
BenchmarkGrok 3Llama 3-8B
LMArena Instruction Following14091127
IFEval88.4%—

Long Context Grok 3 leads

Grok 3: 38.7 (#187), Llama 3-8B: 34.2 (#246)

Long Context benchmarks
BenchmarkGrok 3Llama 3-8B
LMArena Longer Query14391128
Fiction.LiveBench58.3%—

Writing & Preference Grok 3 leads

Grok 3: 56.0 (#136), Llama 3-8B: 37.7 (#251)

Writing & Preference benchmarks
BenchmarkGrok 3Llama 3-8B
LMArena Text14261166
LMArena Creative Writing14141150
LMArena Multi-Turn14241152
Short-Story Creative Writing76.4%—
EQ-Bench Creative Writing1186—
WildBench84.9%—

Frequently asked questions

Is Grok 3 better than Llama 3-8B?

Grok 3 is the stronger model overall, scoring 39.6 to 25.3 on the Noometry Index.

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

Grok 3 scores higher on coding benchmarks: 41.5 versus 30.5 in the Noometry coding category.

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

21 benchmarks have published results for both models. Grok 3 has 40 scored results on Noometry and Llama 3-8B has 34.

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