Noometry

Model comparison

Grok-2 (Dec 2024) vs Qwen1.5-72B

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Qwen1.5-72B Alibaba (Qwen)

30.8

Rank #285 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 6 categories and Qwen1.5-72B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok-2 (Dec 2024) leads 29.8 to 11.5.
  • The biggest single-benchmark swing is GPQA Diamond: 53.8% for Grok-2 (Dec 2024) and 28.8% for Qwen1.5-72B.
  • Qwen1.5-72B has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024)Qwen1.5-72B
ProviderxAIAlibaba (Qwen)
Noometry Index33.730.8
Released2024-08-132024-02-04
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3422

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Category by category

Coding Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 33.3 (#258), Qwen1.5-72B: 31.9 (#277)

BenchmarkGrok-2 (Dec 2024)Qwen1.5-72B
LMArena Coding12871165
WeirdML22.2%—
BigCodeBench Instruct—33.2%
LiveBench Coding46.4%—
BigCodeBench Complete—40.3%
HumanEval+—59.1%
MBPP+—61.6%

Reasoning Qwen1.5-72B leads

Grok-2 (Dec 2024): 16.9 (#299), Qwen1.5-72B: 22.2 (#203)

BenchmarkGrok-2 (Dec 2024)Qwen1.5-72B
LMArena Hard Prompts12721148
SimpleBench22.7%—
LiveBench Reasoning54.8%—
DTBench65.2%—
LiveBench Data Analysis54.5%—
Epoch Capabilities Index130.48—
LiveBench54.3%—

Math Qwen1.5-72B leads

Grok-2 (Dec 2024): 20.8 (#284), Qwen1.5-72B: 33.2 (#205)

BenchmarkGrok-2 (Dec 2024)Qwen1.5-72B
LMArena Math12831164
OTIS Mock AIME 2024-202511.5%—
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), Qwen1.5-72B: 11.5 (#300)

BenchmarkGrok-2 (Dec 2024)Qwen1.5-72B
GPQA Diamond53.8%28.8%
LMArena Expert12541136
Confabulations20.1%—

Multilingual Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 43.1 (#188), Qwen1.5-72B: 33.2 (#253)

BenchmarkGrok-2 (Dec 2024)Qwen1.5-72B
LMArena Non-English12821135
LMArena Chinese12891186
LMArena French13181159
LMArena German12871084
LMArena Japanese12441061
LMArena Korean12371050
LMArena Russian12861104
LMArena Spanish12811110

Instruction Following Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 66.9 (#202), Qwen1.5-72B: 59.3 (#256)

BenchmarkGrok-2 (Dec 2024)Qwen1.5-72B
LMArena Instruction Following12701141
LiveBench Instruction Following69.6%—

Long Context Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 38.8 (#190), Qwen1.5-72B: 35.1 (#243)

BenchmarkGrok-2 (Dec 2024)Qwen1.5-72B
LMArena Longer Query12761157

Writing & Preference Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 48.6 (#198), Qwen1.5-72B: 37.3 (#258)

BenchmarkGrok-2 (Dec 2024)Qwen1.5-72B
LMArena Text13051166
LMArena Creative Writing12841137
LMArena Multi-Turn12901160
Short-Story Creative Writing63.6%—
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Qwen1.5-72B?

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.8 on the Noometry Index.

Is Grok-2 (Dec 2024) or Qwen1.5-72B better for coding?

Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 31.9 in the Noometry coding category.

How many benchmarks do Grok-2 (Dec 2024) and Qwen1.5-72B share?

18 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen1.5-72B has 22.

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