Noometry

Model comparison

Grok 4.6 vs Llama 3-8B

Grok 4.6 is the stronger model overall, scoring 56.9 to 25.5 on the Noometry Index.

Last verified . 22 shared benchmarks.

Grok 4.6 xAI

56.9

Rank #21 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Grok 4.6 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 4.6 leads 67.0 to 8.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 99.2% for Grok 4.6 and 1.9% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Grok 4.6Llama 3-8B
ProviderxAIMeta
Noometry Index56.925.5
Released2026-08-122024-04-18
WeightsProprietaryOpen
Context window500K—
Max output500K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked4934

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Category by category

Coding Grok 4.6 leads

Grok 4.6: 58.5 (#16), Llama 3-8B: 31.0 (#289)

BenchmarkGrok 4.6Llama 3-8B
LMArena Coding14651152
DeepSWE67.5%—
FrontierCode48%—
CursorBench41.4%—
LMArena WebDev1617—
FrontierSWE25.3%—
SciCode56.5%—
WeirdML67.3%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
ALE-Bench1,508—
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

Grok 4.6: 39.4 (#27), Llama 3-8B: —

BenchmarkGrok 4.6Llama 3-8B
APEX-Agents65.3%—
GDP.pdf17.2%—
Vending-Bench 29,047—

Reasoning Grok 4.6 leads

Grok 4.6: 61.4 (#20), Llama 3-8B: 14.3 (#326)

BenchmarkGrok 4.6Llama 3-8B
Chess Puzzles40%0%
LMArena Hard Prompts14471133
DTBench97.3%43.9%
Epoch Capabilities Index156.44116.45
ARC-AGI-267.1%—
SimpleBench75.9%—
NYT Connections (extended)80%—
ARC-AGI-187.5%—
CritPt19.7%—
EBR-Bench30.5%—
Mystery Game Puzzles34%—
LMCA48.5%—
Adversarial NLI—57.3%
ForecastBench—58.6
WinoGrande—75.7%

Math Grok 4.6 leads

Grok 4.6: 67.0 (#24), Llama 3-8B: 8.8 (#323)

BenchmarkGrok 4.6Llama 3-8B
OTIS Mock AIME 2024-202599.2%1.9%
LMArena Math14231151
FrontierMath (Tiers 1-3)66%—
FrontierMath Tier 431.7%—
ProofBench51%—
MATH Level 5—6.1%

Knowledge Grok 4.6 leads

Grok 4.6: 63.3 (#20), Llama 3-8B: 7.8 (#308)

BenchmarkGrok 4.6Llama 3-8B
GPQA Diamond94%26.1%
LMArena Expert14671113
SimpleQA Verified49.3%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

Grok 4.6: 43.6 (#23), Llama 3-8B: —

BenchmarkGrok 4.6Llama 3-8B
LMArena Vision1263—
Blueprint-Bench 233.2%—
Furniture Assembly40%—
LMArena Document1452—

Multilingual Grok 4.6 leads

Grok 4.6: 53.0 (#74), Llama 3-8B: 30.8 (#261)

BenchmarkGrok 4.6Llama 3-8B
LMArena Non-English14201098
LMArena Chinese14801076
LMArena French14611159
LMArena German14311104
LMArena Japanese1376967
LMArena Korean13971004
LMArena Russian14221109
LMArena Spanish14041173

Instruction Following Grok 4.6 leads

Grok 4.6: 75.4 (#63), Llama 3-8B: 58.4 (#260)

BenchmarkGrok 4.6Llama 3-8B
LMArena Instruction Following14311127

Long Context Grok 4.6 leads

Grok 4.6: 44.5 (#66), Llama 3-8B: 34.2 (#251)

BenchmarkGrok 4.6Llama 3-8B
LMArena Longer Query14541128

Writing & Preference Grok 4.6 leads

Grok 4.6: 62.3 (#80), Llama 3-8B: 37.5 (#256)

BenchmarkGrok 4.6Llama 3-8B
LMArena Text14281166
LMArena Creative Writing14281150
LMArena Multi-Turn14251152

Frequently asked questions

Is Grok 4.6 better than Llama 3-8B?

Grok 4.6 is the stronger model overall, scoring 56.9 to 25.5 on the Noometry Index.

Is Grok 4.6 or Llama 3-8B better for coding?

Grok 4.6 scores higher on coding benchmarks: 58.5 versus 31.0 in the Noometry coding category.

How many benchmarks do Grok 4.6 and Llama 3-8B share?

22 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Llama 3-8B has 34.

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