Noometry

Model comparison

Grok-2 (Dec 2024) vs Llama 3.2 1B

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 20.1 on the Noometry Index.

Last verified . 16 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Llama 3.2 1B Meta

20.1

Rank #354 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 8 categories and Llama 3.2 1B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok-2 (Dec 2024) leads 48.6 to 21.3.
  • The biggest single-benchmark swing is GPQA Diamond: 53.8% for Grok-2 (Dec 2024) and 23.9% for Llama 3.2 1B.
  • Llama 3.2 1B has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024)Llama 3.2 1B
ProviderxAIMeta
Noometry Index33.720.1
Released2024-08-132024-09-24
WeightsProprietaryOpen
Context window—60K
Max output—54K
Input $ / M tokens—$0.027
Output $ / M tokens—$0.20
Results tracked3422

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Category by category

Coding Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 33.3 (#258), Llama 3.2 1B: 21.1 (#338)

BenchmarkGrok-2 (Dec 2024)Llama 3.2 1B
LMArena Coding12871070
WeirdML22.2%—
BigCodeBench Instruct—8.2%
LiveBench Coding46.4%—
BigCodeBench Complete—11.3%

Agentic & Tool Use Not comparable

Grok-2 (Dec 2024): —, Llama 3.2 1B: 14.6 (#150)

BenchmarkGrok-2 (Dec 2024)Llama 3.2 1B
Berkeley Function Calling Leaderboard—10.8%
BALROG—6.6%

Reasoning Too close to call

Grok-2 (Dec 2024): 16.9 (#299), Llama 3.2 1B: 16.2 (#308)

BenchmarkGrok-2 (Dec 2024)Llama 3.2 1B
LMArena Hard Prompts12721044
Epoch Capabilities Index130.48101.99
SimpleBench22.7%—
Chess Puzzles—0%
LiveBench Reasoning54.8%—
DTBench65.2%—
LiveBench Data Analysis54.5%—
LiveBench54.3%—

Math Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 20.8 (#284), Llama 3.2 1B: 10.4 (#313)

BenchmarkGrok-2 (Dec 2024)Llama 3.2 1B
OTIS Mock AIME 2024-202511.5%0.6%
LMArena Math12831086
LiveBench Math54.9%—
MATH Level 563.5%—
FrontierMath (Feb 2025 set)0.7%—

Knowledge Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 29.8 (#233), Llama 3.2 1B: 7.2 (#312)

BenchmarkGrok-2 (Dec 2024)Llama 3.2 1B
GPQA Diamond53.8%23.9%
LMArena Expert12541007
Confabulations20.1%—

Multilingual Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 43.1 (#188), Llama 3.2 1B: 23.8 (#292)

BenchmarkGrok-2 (Dec 2024)Llama 3.2 1B
LMArena Non-English1282973
LMArena Chinese1289959
LMArena German12871014
LMArena Russian1286941
LMArena French1318—
LMArena Japanese1244—
LMArena Korean1237—
LMArena Spanish1281—

Instruction Following Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 66.9 (#202), Llama 3.2 1B: 52.4 (#290)

BenchmarkGrok-2 (Dec 2024)Llama 3.2 1B
LMArena Instruction Following12701031
LiveBench Instruction Following69.6%—

Long Context Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 38.8 (#190), Llama 3.2 1B: 31.9 (#274)

BenchmarkGrok-2 (Dec 2024)Llama 3.2 1B
LMArena Longer Query12761050

Writing & Preference Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 48.6 (#198), Llama 3.2 1B: 21.3 (#310)

BenchmarkGrok-2 (Dec 2024)Llama 3.2 1B
LMArena Text13051055
LMArena Creative Writing12841033
LMArena Multi-Turn12901030
Short-Story Creative Writing63.6%—
EQ-Bench Creative Writing—200
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Llama 3.2 1B?

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 20.1 on the Noometry Index.

Is Grok-2 (Dec 2024) or Llama 3.2 1B better for coding?

Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 21.1 in the Noometry coding category.

How many benchmarks do Grok-2 (Dec 2024) and Llama 3.2 1B share?

16 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Llama 3.2 1B has 22.

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