Noometry

Model comparison

Grok 4.3 vs Llama 3-8B

Grok 4.3 is the stronger model overall, scoring 43.8 to 25.5 on the Noometry Index.

Last verified . 23 shared benchmarks.

Grok 4.3 xAI

43.8

Rank #86 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Grok 4.3 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 4.3 leads 52.5 to 7.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.3% for Grok 4.3 and 1.9% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Grok 4.3Llama 3-8B
ProviderxAIMeta
Noometry Index43.825.5
Released2026-04-172024-04-18
WeightsProprietaryOpen
Context window1M—
Max output30K—
Input $ / M tokens$1.25—
Output $ / M tokens$2.50—
Results tracked4034

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Category by category

Coding Grok 4.3 leads

Grok 4.3: 41.6 (#121), Llama 3-8B: 31.0 (#289)

BenchmarkGrok 4.3Llama 3-8B
LMArena Coding14151152
LMArena WebDev1357—
SciCode47.3%—
WeirdML49.9%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
ALE-Bench944.17—
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

Grok 4.3: 27.7 (#99), Llama 3-8B: —

BenchmarkGrok 4.3Llama 3-8B
GDP.pdf8%—
LMArena Search1165—
Vending-Bench 235.26—

Reasoning Grok 4.3 leads

Grok 4.3: 35.9 (#68), Llama 3-8B: 14.3 (#326)

BenchmarkGrok 4.3Llama 3-8B
Chess Puzzles25%0%
LMArena Hard Prompts13961133
DTBench90.7%43.9%
Epoch Capabilities Index149.16116.45
ForecastBench60.358.6
NYT Connections (extended)55.2%—
CritPt8%—
LMCA38.3%—
Adversarial NLI—57.3%
WinoGrande—75.7%

Math Grok 4.3 leads

Grok 4.3: 46.0 (#74), Llama 3-8B: 8.8 (#323)

BenchmarkGrok 4.3Llama 3-8B
OTIS Mock AIME 2024-202593.3%1.9%
LMArena Math13881151
FrontierMath (Tiers 1-3)42.8%—
FrontierMath Tier 414.6%—
ProofBench11%—
MATH Level 5—6.1%

Knowledge Grok 4.3 leads

Grok 4.3: 52.5 (#62), Llama 3-8B: 7.8 (#308)

BenchmarkGrok 4.3Llama 3-8B
GPQA Diamond88.8%26.1%
LMArena Expert13851113
SimpleQA Verified33.2%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

Grok 4.3: 31.6 (#104), Llama 3-8B: —

BenchmarkGrok 4.3Llama 3-8B
LMArena Vision1229—
Blueprint-Bench 20%—

Multilingual Grok 4.3 leads

Grok 4.3: 50.5 (#120), Llama 3-8B: 30.8 (#261)

BenchmarkGrok 4.3Llama 3-8B
LMArena Non-English13851098
LMArena Chinese14221076
LMArena French14121159
LMArena German13951104
LMArena Japanese1379967
LMArena Korean13561004
LMArena Russian13991109
LMArena Spanish13981173

Instruction Following Grok 4.3 leads

Grok 4.3: 72.1 (#140), Llama 3-8B: 58.4 (#260)

BenchmarkGrok 4.3Llama 3-8B
LMArena Instruction Following13661127

Long Context Grok 4.3 leads

Grok 4.3: 42.5 (#123), Llama 3-8B: 34.2 (#251)

BenchmarkGrok 4.3Llama 3-8B
LMArena Longer Query13931128

Writing & Preference Grok 4.3 leads

Grok 4.3: 58.5 (#118), Llama 3-8B: 37.5 (#256)

BenchmarkGrok 4.3Llama 3-8B
LMArena Text13971166
LMArena Creative Writing13801150
LMArena Multi-Turn14061152
EQ-Bench 41075—

Frequently asked questions

Is Grok 4.3 better than Llama 3-8B?

Grok 4.3 is the stronger model overall, scoring 43.8 to 25.5 on the Noometry Index.

Is Grok 4.3 or Llama 3-8B better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.6 versus 31.0 in the Noometry coding category.

How many benchmarks do Grok 4.3 and Llama 3-8B share?

23 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Llama 3-8B has 34.

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