Noometry

Model comparison

Grok-2 (Dec 2024) vs Llama 3.1-8B

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 23.0 on the Noometry Index.

Last verified . 23 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Llama 3.1-8B Meta

23.0

Rank #352 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 8 categories and Llama 3.1-8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok-2 (Dec 2024) leads 29.8 to 8.0.
  • The biggest single-benchmark swing is MATH Level 5: 63.5% for Grok-2 (Dec 2024) and 22.9% for Llama 3.1-8B.
  • Llama 3.1-8B has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024)Llama 3.1-8B
ProviderxAIMeta
Noometry Index33.723.0
Released2024-08-132024-07-23
WeightsProprietaryOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.05
Output $ / M tokens—$0.08
Results tracked3443

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Category by category

Coding Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 33.3 (#258), Llama 3.1-8B: 20.2 (#340)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-8B
WeirdML22.2%1.7%
LMArena Coding12871195
SciCode—13.2%
BigCodeBench Instruct—32.8%
LiveBench Coding46.4%—
BigCodeBench Complete—40.5%
HumanEval+—62.8%
MBPP+—55.6%

Agentic & Tool Use Not comparable

Grok-2 (Dec 2024): —, Llama 3.1-8B: 22.5 (#131)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-8B
Berkeley Function Calling Leaderboard—25.8%
BALROG—15.1%

Reasoning Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 16.9 (#299), Llama 3.1-8B: 14.9 (#321)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-8B
LMArena Hard Prompts12721175
DTBench65.2%50.9%
Epoch Capabilities Index130.48116.57
SimpleBench22.7%—
CritPt—0%
Chess Puzzles—0%
LiveBench Reasoning54.8%—
LiveBench Data Analysis54.5%—
LMCA—5.4%
LiveBench54.3%—
PIQA—81.2%

Math Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 20.8 (#284), Llama 3.1-8B: 10.2 (#317)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-8B
OTIS Mock AIME 2024-202511.5%1.7%
LMArena Math12831179
MATH Level 563.5%22.9%
Omni-MATH—13.7%
LiveBench Math54.9%—
FrontierMath (Feb 2025 set)0.7%—
GSM8K—82.4%

Knowledge Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 29.8 (#233), Llama 3.1-8B: 8.0 (#307)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-8B
GPQA Diamond53.8%27%
LMArena Expert12541144
MMLU-Pro—40.6%
Confabulations20.1%—
GPQA (HELM)—24.7%
BoolQ—82.8%
MMLU—56.1%

Multilingual Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 43.1 (#188), Llama 3.1-8B: 34.0 (#249)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-8B
LMArena Non-English12821148
LMArena Chinese12891151
LMArena French13181177
LMArena German12871144
LMArena Japanese12441061
LMArena Korean12371053
LMArena Russian12861158
LMArena Spanish12811169

Instruction Following Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 66.9 (#202), Llama 3.1-8B: 58.9 (#258)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-8B
LMArena Instruction Following12701159
LiveBench Instruction Following69.6%—
IFEval—74.3%

Long Context Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 38.8 (#190), Llama 3.1-8B: 35.8 (#238)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-8B
LMArena Longer Query12761182

Writing & Preference Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 48.6 (#198), Llama 3.1-8B: 29.7 (#290)

BenchmarkGrok-2 (Dec 2024)Llama 3.1-8B
LMArena Text13051187
LMArena Creative Writing12841154
LMArena Multi-Turn12901172
Short-Story Creative Writing63.6%—
EQ-Bench Creative Writing—713
WildBench—68.7%
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Llama 3.1-8B?

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 23.0 on the Noometry Index.

Is Grok-2 (Dec 2024) or Llama 3.1-8B better for coding?

Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 20.2 in the Noometry coding category.

How many benchmarks do Grok-2 (Dec 2024) and Llama 3.1-8B share?

23 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Llama 3.1-8B has 43.

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