Model comparison

Grok-2 (Dec 2024) vs Llama 3.1 Nemotron 51b Instruct

Llama 3.1 Nemotron 51b Instruct is the stronger model overall, scoring 35.9 to 33.7 on the Noometry Index.

Last verified . 12 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 4 categories and Llama 3.1 Nemotron 51b Instruct in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Llama 3.1 Nemotron 51b Instruct leads 34.6 to 20.8.
  • Llama 3.1 Nemotron 51b Instruct has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024) and Llama 3.1 Nemotron 51b Instruct specifications
Grok-2 (Dec 2024)Llama 3.1 Nemotron 51b Instruct
ProviderxAINVIDIA
Noometry Index33.735.9
Released2024-08-13—
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3412

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Category by category

Coding Llama 3.1 Nemotron 51b Instruct leads

Grok-2 (Dec 2024): 33.3 (#258), Llama 3.1 Nemotron 51b Instruct: 35.6 (#222)

Coding benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 3.1 Nemotron 51b Instruct
LMArena Coding12871223
WeirdML22.2%—
LiveBench Coding46.4%—

Reasoning Llama 3.1 Nemotron 51b Instruct leads

Grok-2 (Dec 2024): 16.9 (#299), Llama 3.1 Nemotron 51b Instruct: 23.5 (#177)

Reasoning benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 3.1 Nemotron 51b Instruct
LMArena Hard Prompts12721203
SimpleBench22.7%—
LiveBench Reasoning54.8%—
DTBench65.2%—
LiveBench Data Analysis54.5%—
Epoch Capabilities Index130.48—
LiveBench54.3%—

Math Llama 3.1 Nemotron 51b Instruct leads

Grok-2 (Dec 2024): 20.8 (#284), Llama 3.1 Nemotron 51b Instruct: 34.6 (#193)

Math benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 3.1 Nemotron 51b Instruct
LMArena Math12831230
OTIS Mock AIME 2024-202511.5%—
LiveBench Math54.9%—
MATH Level 563.5%—
FrontierMath (Feb 2025 set)0.7%—

Knowledge Llama 3.1 Nemotron 51b Instruct leads

Grok-2 (Dec 2024): 29.8 (#233), Llama 3.1 Nemotron 51b Instruct: 31.9 (#218)

Knowledge benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 3.1 Nemotron 51b Instruct
LMArena Expert12541167
GPQA Diamond53.8%—
Confabulations20.1%—

Multilingual Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 43.1 (#188), Llama 3.1 Nemotron 51b Instruct: 36.1 (#241)

Multilingual benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 3.1 Nemotron 51b Instruct
LMArena Non-English12821181
LMArena Chinese12891180
LMArena Russian12861187
LMArena French1318—
LMArena German1287—
LMArena Japanese1244—
LMArena Korean1237—
LMArena Spanish1281—

Instruction Following Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 66.9 (#202), Llama 3.1 Nemotron 51b Instruct: 62.9 (#233)

Instruction Following benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 3.1 Nemotron 51b Instruct
LMArena Instruction Following12701201
LiveBench Instruction Following69.6%—

Long Context Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 38.8 (#190), Llama 3.1 Nemotron 51b Instruct: 36.5 (#230)

Long Context benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 3.1 Nemotron 51b Instruct
LMArena Longer Query12761205

Writing & Preference Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 48.6 (#198), Llama 3.1 Nemotron 51b Instruct: 43.4 (#229)

Writing & Preference benchmarks
BenchmarkGrok-2 (Dec 2024)Llama 3.1 Nemotron 51b Instruct
LMArena Text13051228
LMArena Creative Writing12841213
LMArena Multi-Turn12901227
Short-Story Creative Writing63.6%—
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Llama 3.1 Nemotron 51b Instruct?

Llama 3.1 Nemotron 51b Instruct is the stronger model overall, scoring 35.9 to 33.7 on the Noometry Index.

Is Grok-2 (Dec 2024) or Llama 3.1 Nemotron 51b Instruct better for coding?

Llama 3.1 Nemotron 51b Instruct scores higher on coding benchmarks: 35.6 versus 33.3 in the Noometry coding category.

How many benchmarks do Grok-2 (Dec 2024) and Llama 3.1 Nemotron 51b Instruct share?

12 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Llama 3.1 Nemotron 51b Instruct has 12.

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