Noometry

Model comparison

Grok 4.3 vs Llama 2-13B

Grok 4.3 is the stronger model overall, scoring 43.8 to 29.6 on the Noometry Index.

Last verified . 20 shared benchmarks.

Grok 4.3 xAI

43.8

Rank #86 Confirmed

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Grok 4.3 scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok 4.3 leads 58.5 to 29.8.
  • The biggest single-benchmark swing is DTBench: 90.7% for Grok 4.3 and 42.2% for Llama 2-13B.
  • Llama 2-13B has downloadable open weights; the other is API-only.

Side by side

Grok 4.3Llama 2-13B
ProviderxAIMeta
Noometry Index43.829.6
Released2026-04-172023-07-18
WeightsProprietaryOpen
Context window1M—
Max output30K—
Input $ / M tokens$1.25—
Output $ / M tokens$2.50—
Results tracked4032

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Category by category

Coding Grok 4.3 leads

Grok 4.3: 41.6 (#121), Llama 2-13B: 30.9 (#291)

BenchmarkGrok 4.3Llama 2-13B
LMArena Coding14151062
LMArena WebDev1357—
SciCode47.3%—
WeirdML49.9%—
ALE-Bench944.17—

Agentic & Tool Use Not comparable

Grok 4.3: 27.7 (#99), Llama 2-13B: —

BenchmarkGrok 4.3Llama 2-13B
GDP.pdf8%—
LMArena Search1165—
Vending-Bench 235.26—

Reasoning Grok 4.3 leads

Grok 4.3: 35.9 (#68), Llama 2-13B: 12.8 (#337)

BenchmarkGrok 4.3Llama 2-13B
Chess Puzzles25%0%
LMArena Hard Prompts13961051
DTBench90.7%42.2%
Epoch Capabilities Index149.16106.17
NYT Connections (extended)55.2%—
CritPt8%—
LMCA38.3%—
BIG-Bench Hard—58.2%
ForecastBench60.3—
HellaSwag—80.7%
LAMBADA—76.5%
PIQA—80.8%
WinoGrande—72.8%

Math Grok 4.3 leads

Grok 4.3: 46.0 (#74), Llama 2-13B: 31.1 (#229)

BenchmarkGrok 4.3Llama 2-13B
LMArena Math13881065
FrontierMath (Tiers 1-3)42.8%—
FrontierMath Tier 414.6%—
OTIS Mock AIME 2024-202593.3%—
ProofBench11%—
GSM8K—36.9%

Knowledge Grok 4.3 leads

Grok 4.3: 52.5 (#62), Llama 2-13B: 28.1 (#249)

BenchmarkGrok 4.3Llama 2-13B
LMArena Expert13851030
GPQA Diamond88.8%—
SimpleQA Verified33.2%—
ARC (AI2) Challenge—60.3%
BoolQ—82.4%
MMLU—55.6%
OpenBookQA—57%
TriviaQA—79.6%

Multimodal Not comparable

Grok 4.3: 31.6 (#104), Llama 2-13B: —

BenchmarkGrok 4.3Llama 2-13B
LMArena Vision1229—
Blueprint-Bench 20%—
ScienceQA—55.8%

Multilingual Grok 4.3 leads

Grok 4.3: 50.5 (#120), Llama 2-13B: 26.5 (#279)

BenchmarkGrok 4.3Llama 2-13B
LMArena Non-English13851024
LMArena Chinese14221001
LMArena French14121044
LMArena German13951009
LMArena Japanese1379894
LMArena Korean1356953
LMArena Russian13991055
LMArena Spanish13981087

Instruction Following Grok 4.3 leads

Grok 4.3: 72.1 (#140), Llama 2-13B: 53.3 (#287)

BenchmarkGrok 4.3Llama 2-13B
LMArena Instruction Following13661045

Long Context Grok 4.3 leads

Grok 4.3: 42.5 (#123), Llama 2-13B: 32.3 (#269)

BenchmarkGrok 4.3Llama 2-13B
LMArena Longer Query13931064

Writing & Preference Grok 4.3 leads

Grok 4.3: 58.5 (#118), Llama 2-13B: 29.8 (#289)

BenchmarkGrok 4.3Llama 2-13B
LMArena Text13971084
LMArena Creative Writing13801047
LMArena Multi-Turn14061050
EQ-Bench 41075—

Frequently asked questions

Is Grok 4.3 better than Llama 2-13B?

Grok 4.3 is the stronger model overall, scoring 43.8 to 29.6 on the Noometry Index.

Is Grok 4.3 or Llama 2-13B better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.6 versus 30.9 in the Noometry coding category.

How many benchmarks do Grok 4.3 and Llama 2-13B share?

20 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Llama 2-13B has 32.

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