Model comparison

Grok 4 Fast vs Llama 2-13B

Grok 4 Fast is the stronger model overall, scoring 39.0 to 29.1 on the Noometry Index.

Last verified . 19 shared benchmarks.

Grok 4 Fast xAI

39.0

Rank #164 Confirmed

Llama 2-13B Meta

29.1

Rank #304 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Grok 4 Fast scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Grok 4 Fast leads 63.2 to 32.3.
  • The biggest single-benchmark swing is DTBench: 82.7% for Grok 4 Fast and 42.2% for Llama 2-13B.
  • Llama 2-13B has downloadable open weights; the other is API-only.

Side by side

Grok 4 Fast and Llama 2-13B specifications
Grok 4 FastLlama 2-13B
ProviderxAIMeta
Noometry Index39.029.1
Released2025-09-192023-07-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3032

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Category by category

Coding Grok 4 Fast leads

Grok 4 Fast: 32.3 (#264), Llama 2-13B: 30.4 (#287)

Coding benchmarks
BenchmarkGrok 4 FastLlama 2-13B
LMArena Coding14291062
LMArena WebDev1160—
WeirdML42.9%—

Agentic & Tool Use Not comparable

Grok 4 Fast: 29.3 (#80), Llama 2-13B: —

Agentic & Tool Use benchmarks
BenchmarkGrok 4 FastLlama 2-13B
τ²-bench Banking15.7%—
Cybench30%—
LMArena Search1171—

Reasoning Grok 4 Fast leads

Grok 4 Fast: 22.5 (#179), Llama 2-13B: 12.3 (#333)

Reasoning benchmarks
BenchmarkGrok 4 FastLlama 2-13B
LMArena Hard Prompts14131051
DTBench82.7%42.2%
Epoch Capabilities Index144.21105.8
ARC-AGI-25.3%—
Kagi LLM Benchmark66.1%—
ARC-AGI-148.5%—
Chess Puzzles—0%
BIG-Bench Hard—58.2%
ForecastBench60.5—
HellaSwag—80.7%
LAMBADA—76.5%
PIQA—80.8%
WinoGrande—72.8%

Math Grok 4 Fast leads

Grok 4 Fast: 36.1 (#126), Llama 2-13B: 28.7 (#226)

Math benchmarks
BenchmarkGrok 4 FastLlama 2-13B
LMArena Math14191065
GSM8K—36.9%

Knowledge Grok 4 Fast leads

Grok 4 Fast: 31.5 (#211), Llama 2-13B: 27.5 (#244)

Knowledge benchmarks
BenchmarkGrok 4 FastLlama 2-13B
LMArena Expert14111030
Vectara Hallucination Rate19.7%—
ARC (AI2) Challenge—60.3%
BoolQ—82.4%
MMLU—55.6%
OpenBookQA—57%
TriviaQA—79.6%

Multimodal Not comparable

Grok 4 Fast: —, Llama 2-13B: —

Multimodal benchmarks
BenchmarkGrok 4 FastLlama 2-13B
ScienceQA—55.8%

Multilingual Grok 4 Fast leads

Grok 4 Fast: 51.5 (#106), Llama 2-13B: 26.7 (#274)

Multilingual benchmarks
BenchmarkGrok 4 FastLlama 2-13B
LMArena Non-English13971024
LMArena Chinese14581001
LMArena French14331043
LMArena German13831009
LMArena Japanese1358894
LMArena Korean1359953
LMArena Russian13871055
LMArena Spanish14141086

Instruction Following Grok 4 Fast leads

Grok 4 Fast: 73.4 (#116), Llama 2-13B: 53.5 (#282)

Instruction Following benchmarks
BenchmarkGrok 4 FastLlama 2-13B
LMArena Instruction Following13881046

Long Context Grok 4 Fast leads

Grok 4 Fast: 63.2 (#3), Llama 2-13B: 32.3 (#264)

Long Context benchmarks
BenchmarkGrok 4 FastLlama 2-13B
LMArena Longer Query14151064
Fiction.LiveBench94.4%—

Writing & Preference Grok 4 Fast leads

Grok 4 Fast: 60.2 (#96), Llama 2-13B: 30.0 (#284)

Writing & Preference benchmarks
BenchmarkGrok 4 FastLlama 2-13B
LMArena Text14071085
LMArena Creative Writing13881047
LMArena Multi-Turn14141050

Frequently asked questions

Is Grok 4 Fast better than Llama 2-13B?

Grok 4 Fast is the stronger model overall, scoring 39.0 to 29.1 on the Noometry Index.

Is Grok 4 Fast or Llama 2-13B better for coding?

Grok 4 Fast scores higher on coding benchmarks: 32.3 versus 30.4 in the Noometry coding category.

How many benchmarks do Grok 4 Fast and Llama 2-13B share?

19 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Llama 2-13B has 32.

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