Noometry

Model comparison

Grok 4.6 vs Llama 2-7B

Grok 4.6 is the stronger model overall, scoring 56.8 to 28.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

Grok 4.6 xAI

56.8

Rank #19 Confirmed

Llama 2-7B Meta

28.6

Rank #315 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Grok 4.6 scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.6 leads 61.3 to 15.1.
  • The biggest single-benchmark swing is Chess Puzzles: 40% for Grok 4.6 and 0% for Llama 2-7B.
  • Llama 2-7B has downloadable open weights; the other is API-only.

Side by side

Grok 4.6Llama 2-7B
ProviderxAIMeta
Noometry Index56.828.6
Released2026-08-122023-07-18
WeightsProprietaryOpen
Context window500K—
Max output500K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked4929

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Category by category

Coding Grok 4.6 leads

Grok 4.6: 58.0 (#14), Llama 2-7B: 28.7 (#302)

BenchmarkGrok 4.6Llama 2-7B
LMArena Coding14641002
DeepSWE67.5%—
FrontierCode48%—
CursorBench41.4%—
LMArena WebDev1620—
FrontierSWE25.3%—
SciCode56.5%—
WeirdML67.3%—
ALE-Bench1,508—

Agentic & Tool Use Not comparable

Grok 4.6: 39.4 (#25), Llama 2-7B: —

BenchmarkGrok 4.6Llama 2-7B
APEX-Agents65.3%—
GDP.pdf17.2%—
Vending-Bench 29,047—

Reasoning Grok 4.6 leads

Grok 4.6: 61.3 (#18), Llama 2-7B: 15.1 (#309)

BenchmarkGrok 4.6Llama 2-7B
Chess Puzzles40%0%
LMArena Hard Prompts14451009
Epoch Capabilities Index156.4898.54
ARC-AGI-267.1%—
SimpleBench75.9%—
NYT Connections (extended)80%—
ARC-AGI-187.5%—
CritPt19.7%—
EBR-Bench30.5%—
Mystery Game Puzzles34%—
DTBench97.3%—
LMCA48.5%—
BIG-Bench Hard—39.2%
HellaSwag—77.2%
LAMBADA—73.3%
PIQA—78.8%
WinoGrande—69.2%

Math Grok 4.6 leads

Grok 4.6: 66.8 (#19), Llama 2-7B: 28.2 (#231)

BenchmarkGrok 4.6Llama 2-7B
LMArena Math14161042
FrontierMath (Tiers 1-3)66%—
FrontierMath Tier 431.7%—
OTIS Mock AIME 2024-202599.2%—
ProofBench51%—
GSM8K—16.7%

Knowledge Grok 4.6 leads

Grok 4.6: 63.3 (#18), Llama 2-7B: 27.7 (#243)

BenchmarkGrok 4.6Llama 2-7B
LMArena Expert14631036
GPQA Diamond94%—
SimpleQA Verified49.3%—
ARC (AI2) Challenge—45.9%
BoolQ—77.9%
MMLU—45.8%
OpenBookQA—58.6%
TriviaQA—73.7%

Multimodal Not comparable

Grok 4.6: 43.9 (#18), Llama 2-7B: —

BenchmarkGrok 4.6Llama 2-7B
LMArena Vision1265—
Blueprint-Bench 233.2%—
Furniture Assembly40%—
LMArena Document1452—
ScienceQA—43.1%

Multilingual Grok 4.6 leads

Grok 4.6: 53.3 (#67), Llama 2-7B: 23.9 (#288)

BenchmarkGrok 4.6Llama 2-7B
LMArena Non-English1422973
LMArena Chinese1479973
LMArena French1458969
LMArena German1425978
LMArena Russian1427995
LMArena Spanish14081007
LMArena Japanese1383—
LMArena Korean1395—

Instruction Following Grok 4.6 leads

Grok 4.6: 75.6 (#59), Llama 2-7B: 51.0 (#293)

BenchmarkGrok 4.6Llama 2-7B
LMArena Instruction Following14311006

Long Context Grok 4.6 leads

Grok 4.6: 44.4 (#62), Llama 2-7B: 30.4 (#282)

BenchmarkGrok 4.6Llama 2-7B
LMArena Longer Query1453999

Writing & Preference Grok 4.6 leads

Grok 4.6: 62.5 (#77), Llama 2-7B: 28.1 (#293)

BenchmarkGrok 4.6Llama 2-7B
LMArena Text14271053
LMArena Creative Writing14301033
LMArena Multi-Turn14221029

Frequently asked questions

Is Grok 4.6 better than Llama 2-7B?

Grok 4.6 is the stronger model overall, scoring 56.8 to 28.6 on the Noometry Index.

Is Grok 4.6 or Llama 2-7B better for coding?

Grok 4.6 scores higher on coding benchmarks: 58.0 versus 28.7 in the Noometry coding category.

How many benchmarks do Grok 4.6 and Llama 2-7B share?

17 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Llama 2-7B has 29.

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