Model comparison

Grok 3 vs Llama 2-70B

Grok 3 is the stronger model overall, scoring 39.9 to 24.4 on the Noometry Index.

Last verified . 21 shared benchmarks.

Grok 3 xAI

39.9

Rank #157 Confirmed

Llama 2-70B Meta

24.4

Rank #349 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Grok 3 scores higher in 7 categories and Llama 2-70B in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok 3 leads 46.2 to 7.4.
  • The biggest single-benchmark swing is MATH Level 5: 88.7% for Grok 3 and 3.3% for Llama 2-70B.
  • Llama 2-70B has downloadable open weights; the other is API-only.

Side by side

Grok 3 and Llama 2-70B specifications
Grok 3Llama 2-70B
ProviderxAIMeta
Noometry Index39.924.4
Released2025-04-092023-07-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked4035

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Category by category

Coding Grok 3 leads

Grok 3: 41.9 (#115), Llama 2-70B: 31.4 (#286)

Coding benchmarks
BenchmarkGrok 3Llama 2-70B
LMArena Coding14321079
Aider Polyglot53.3%—
WeirdML37.2%—

Agentic & Tool Use Not comparable

Grok 3: 30.5 (#76), Llama 2-70B: —

Agentic & Tool Use benchmarks
BenchmarkGrok 3Llama 2-70B
BALROG29.5%—

Reasoning Too close to call

Grok 3: 13.7 (#333), Llama 2-70B: 14.4 (#325)

Reasoning benchmarks
BenchmarkGrok 3Llama 2-70B
LMArena Hard Prompts14341073
Epoch Capabilities Index138.33113.79
ARC-AGI-20%—
SimpleBench36.1%—
Kagi LLM Benchmark61.3%—
ARC-AGI-15.5%—
DTBench—41.6%
BIG-Bench Hard—64.9%
CommonsenseQA 2.0—50%
ForecastBench—51.4
HellaSwag—85.3%
LAMBADA—78.9%
PIQA—82.8%
WinoGrande—80.2%

Math Grok 3 leads

Grok 3: 38.0 (#145), Llama 2-70B: 8.1 (#326)

Math benchmarks
BenchmarkGrok 3Llama 2-70B
OTIS Mock AIME 2024-202555.6%0%
LMArena Math13911091
MATH Level 588.7%3.3%
Omni-MATH46.4%—
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)0%—
GSM8K—69.6%

Knowledge Grok 3 leads

Grok 3: 46.2 (#82), Llama 2-70B: 7.4 (#310)

Knowledge benchmarks
BenchmarkGrok 3Llama 2-70B
GPQA Diamond75.8%26.3%
LMArena Expert14211039
MMLU-Pro78.8%—
Confabulations14.2%—
Vectara Hallucination Rate5.8%—
GPQA (HELM)65%—
ARC (AI2) Challenge—78.3%
BoolQ—88.6%
MMLU—69.9%
OpenBookQA—60.2%
TriviaQA—87.6%

Multilingual Grok 3 leads

Grok 3: 52.3 (#87), Llama 2-70B: 27.7 (#274)

Multilingual benchmarks
BenchmarkGrok 3Llama 2-70B
LMArena Non-English14101045
LMArena Chinese1448995
LMArena French14601090
LMArena German14311041
LMArena Japanese1387927
LMArena Korean1373964
LMArena Russian14161083
LMArena Spanish14171143

Instruction Following Grok 3 leads

Grok 3: 75.0 (#73), Llama 2-70B: 54.9 (#278)

Instruction Following benchmarks
BenchmarkGrok 3Llama 2-70B
LMArena Instruction Following14091071
IFEval88.4%—

Long Context Grok 3 leads

Grok 3: 38.7 (#192), Llama 2-70B: 32.3 (#270)

Long Context benchmarks
BenchmarkGrok 3Llama 2-70B
LMArena Longer Query14391062
Fiction.LiveBench58.3%—

Writing & Preference Grok 3 leads

Grok 3: 55.8 (#141), Llama 2-70B: 32.3 (#279)

Writing & Preference benchmarks
BenchmarkGrok 3Llama 2-70B
LMArena Text14261115
LMArena Creative Writing14141075
LMArena Multi-Turn14251088
Short-Story Creative Writing76.4%—
EQ-Bench Creative Writing1186—
WildBench84.9%—

Frequently asked questions

Is Grok 3 better than Llama 2-70B?

Grok 3 is the stronger model overall, scoring 39.9 to 24.4 on the Noometry Index.

Is Grok 3 or Llama 2-70B better for coding?

Grok 3 scores higher on coding benchmarks: 41.9 versus 31.4 in the Noometry coding category.

How many benchmarks do Grok 3 and Llama 2-70B share?

21 benchmarks have published results for both models. Grok 3 has 40 scored results on Noometry and Llama 2-70B has 35.

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