Noometry

Model comparison

Grok 4.7 vs Llama 3-8B

Grok 4.7 is the stronger model overall, scoring 53.1 to 25.5 on the Noometry Index.

Last verified . 19 shared benchmarks.

Grok 4.7 xAI

53.1

Rank #37 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Grok 4.7 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 4.7 leads 62.8 to 7.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.1% for Grok 4.7 and 1.9% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Grok 4.7Llama 3-8B
ProviderxAIMeta
Noometry Index53.125.5
Released2026-09-212024-04-18
WeightsProprietaryOpen
Context window500K—
Max output500K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked3934

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Category by category

Coding Grok 4.7 leads

Grok 4.7: 58.0 (#18), Llama 3-8B: 31.0 (#289)

BenchmarkGrok 4.7Llama 3-8B
LMArena Coding14271152
FrontierCode47.6%—
CursorBench46.3%—
LMArena WebDev1639—
FrontierSWE29.5%—
SciCode57.8%—
BigCodeBench Instruct—31.9%
BigCodeBench Complete—36.9%
HumanEval+—56.7%
MBPP+—54.8%

Agentic & Tool Use Not comparable

Grok 4.7: 36.7 (#37), Llama 3-8B: —

BenchmarkGrok 4.7Llama 3-8B
APEX-Agents54.6%—
GDP.pdf22.8%—
Vending-Bench 210,537—

Reasoning Grok 4.7 leads

Grok 4.7: 49.1 (#40), Llama 3-8B: 14.3 (#326)

BenchmarkGrok 4.7Llama 3-8B
Chess Puzzles38%0%
LMArena Hard Prompts14131133
DTBench96%43.9%
Epoch Capabilities Index153.53116.45
NYT Connections (extended)76.8%—
CritPt18%—
Mystery Game Puzzles29%—
LMCA49.4%—
Adversarial NLI—57.3%
ForecastBench—58.6
WinoGrande—75.7%

Math Grok 4.7 leads

Grok 4.7: 57.8 (#39), Llama 3-8B: 8.8 (#323)

BenchmarkGrok 4.7Llama 3-8B
OTIS Mock AIME 2024-202598.1%1.9%
LMArena Math14071151
FrontierMath (Tiers 1-3)53%—
FrontierMath Tier 417.1%—
ProofBench34%—
MATH Level 5—6.1%

Knowledge Grok 4.7 leads

Grok 4.7: 62.8 (#22), Llama 3-8B: 7.8 (#308)

BenchmarkGrok 4.7Llama 3-8B
GPQA Diamond92.7%26.1%
LMArena Expert14221113
SimpleQA Verified56%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

Grok 4.7: 35.5 (#87), Llama 3-8B: —

BenchmarkGrok 4.7Llama 3-8B
LMArena Vision1228—
Blueprint-Bench 232.5%—
Furniture Assembly20.8%—

Multilingual Grok 4.7 leads

Grok 4.7: 50.8 (#116), Llama 3-8B: 30.8 (#261)

BenchmarkGrok 4.7Llama 3-8B
LMArena Non-English13891098
LMArena Chinese14551076
LMArena French14551159
LMArena Russian13971109
LMArena Spanish14001173
LMArena German—1104
LMArena Japanese—967
LMArena Korean—1004

Instruction Following Grok 4.7 leads

Grok 4.7: 74.1 (#105), Llama 3-8B: 58.4 (#260)

BenchmarkGrok 4.7Llama 3-8B
LMArena Instruction Following14041127

Long Context Grok 4.7 leads

Grok 4.7: 43.1 (#104), Llama 3-8B: 34.2 (#251)

BenchmarkGrok 4.7Llama 3-8B
LMArena Longer Query14131128

Writing & Preference Grok 4.7 leads

Grok 4.7: 70.0 (#24), Llama 3-8B: 37.5 (#256)

BenchmarkGrok 4.7Llama 3-8B
LMArena Text13991166
LMArena Creative Writing13911150
LMArena Multi-Turn13931152
EQ-Bench Creative Writing2007—

Frequently asked questions

Is Grok 4.7 better than Llama 3-8B?

Grok 4.7 is the stronger model overall, scoring 53.1 to 25.5 on the Noometry Index.

Is Grok 4.7 or Llama 3-8B better for coding?

Grok 4.7 scores higher on coding benchmarks: 58.0 versus 31.0 in the Noometry coding category.

How many benchmarks do Grok 4.7 and Llama 3-8B share?

19 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and Llama 3-8B has 34.

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