Noometry

Model comparison

Grok-2 (Dec 2024) vs Llama 3-70B

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 28.8 on the Noometry Index.

Last verified . 22 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Llama 3-70B Meta

28.8

Rank #323 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 6 categories and Llama 3-70B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where Grok-2 (Dec 2024) leads 43.1 to 33.6.
  • The biggest single-benchmark swing is MATH Level 5: 63.5% for Grok-2 (Dec 2024) and 22.6% for Llama 3-70B.
  • Llama 3-70B has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024)Llama 3-70B
ProviderxAIMeta
Noometry Index33.728.8
Released2024-08-132024-04-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3431

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Category by category

Coding Llama 3-70B leads

Grok-2 (Dec 2024): 33.3 (#258), Llama 3-70B: 35.8 (#218)

BenchmarkGrok-2 (Dec 2024)Llama 3-70B
LMArena Coding12871206
WeirdML22.2%—
BigCodeBench Instruct—43.6%
LiveBench Coding46.4%—
BigCodeBench Complete—54.5%
HumanEval+—72%
MBPP+—69%

Agentic & Tool Use Not comparable

Grok-2 (Dec 2024): —, Llama 3-70B: 21.1 (#139)

BenchmarkGrok-2 (Dec 2024)Llama 3-70B
Cybench—5%

Reasoning Llama 3-70B leads

Grok-2 (Dec 2024): 16.9 (#299), Llama 3-70B: 18.0 (#288)

BenchmarkGrok-2 (Dec 2024)Llama 3-70B
LMArena Hard Prompts12721195
DTBench65.2%54.2%
Epoch Capabilities Index130.48122.93
SimpleBench22.7%—
Kagi LLM Benchmark—35.1%
LiveBench Reasoning54.8%—
LiveBench Data Analysis54.5%—
ForecastBench—57.1
LiveBench54.3%—
WinoGrande—83.5%

Math Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 20.8 (#284), Llama 3-70B: 12.8 (#305)

BenchmarkGrok-2 (Dec 2024)Llama 3-70B
OTIS Mock AIME 2024-202511.5%4.3%
LMArena Math12831218
MATH Level 563.5%22.6%
LiveBench Math54.9%—
FrontierMath (Feb 2025 set)0.7%—

Knowledge Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 29.8 (#233), Llama 3-70B: 20.8 (#277)

BenchmarkGrok-2 (Dec 2024)Llama 3-70B
GPQA Diamond53.8%40.6%
LMArena Expert12541149
Confabulations20.1%—
MMLU—79.3%

Multilingual Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 43.1 (#188), Llama 3-70B: 33.6 (#251)

BenchmarkGrok-2 (Dec 2024)Llama 3-70B
LMArena Non-English12821142
LMArena Chinese12891114
LMArena French13181232
LMArena German12871169
LMArena Japanese12441017
LMArena Korean12371017
LMArena Russian12861159
LMArena Spanish12811241

Instruction Following Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 66.9 (#202), Llama 3-70B: 62.5 (#238)

BenchmarkGrok-2 (Dec 2024)Llama 3-70B
LMArena Instruction Following12701194
LiveBench Instruction Following69.6%—

Long Context Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 38.8 (#190), Llama 3-70B: 35.6 (#240)

BenchmarkGrok-2 (Dec 2024)Llama 3-70B
LMArena Longer Query12761174

Writing & Preference Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 48.6 (#198), Llama 3-70B: 42.8 (#231)

BenchmarkGrok-2 (Dec 2024)Llama 3-70B
LMArena Text13051221
LMArena Creative Writing12841210
LMArena Multi-Turn12901223
Short-Story Creative Writing63.6%—
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Llama 3-70B?

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 28.8 on the Noometry Index.

Is Grok-2 (Dec 2024) or Llama 3-70B better for coding?

Llama 3-70B scores higher on coding benchmarks: 35.8 versus 33.3 in the Noometry coding category.

How many benchmarks do Grok-2 (Dec 2024) and Llama 3-70B share?

22 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Llama 3-70B has 31.

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