Noometry

Model comparison

Grok-2 (Dec 2024) vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 39.2 to 33.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 0 categories and Qwen3 32B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3 32B leads 39.7 to 20.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 11.5% for Grok-2 (Dec 2024) and 66.9% for Qwen3 32B.
  • Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024)Qwen3 32B
ProviderxAIAlibaba (Qwen)
Noometry Index33.739.2
Released2024-08-132025-04
WeightsProprietaryOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked3426

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Category by category

Coding Qwen3 32B leads

Grok-2 (Dec 2024): 33.3 (#258), Qwen3 32B: 37.7 (#190)

BenchmarkGrok-2 (Dec 2024)Qwen3 32B
LMArena Coding12871358
Aider Polyglot—40%
SciCode—35.4%
WeirdML22.2%—
LiveBench Coding46.4%—

Agentic & Tool Use Not comparable

Grok-2 (Dec 2024): —, Qwen3 32B: 32.6 (#62)

BenchmarkGrok-2 (Dec 2024)Qwen3 32B
Berkeley Function Calling Leaderboard—48.7%

Reasoning Qwen3 32B leads

Grok-2 (Dec 2024): 16.9 (#299), Qwen3 32B: 20.2 (#241)

BenchmarkGrok-2 (Dec 2024)Qwen3 32B
LMArena Hard Prompts12721334
DTBench65.2%67.5%
Epoch Capabilities Index130.48138.51
SimpleBench22.7%—
Kagi LLM Benchmark—54.9%
CritPt—0.3%
Chess Puzzles—5%
LiveBench Reasoning54.8%—
LiveBench Data Analysis54.5%—
LMCA—17.3%
LiveBench54.3%—

Math Qwen3 32B leads

Grok-2 (Dec 2024): 20.8 (#284), Qwen3 32B: 39.7 (#99)

BenchmarkGrok-2 (Dec 2024)Qwen3 32B
OTIS Mock AIME 2024-202511.5%66.9%
LMArena Math12831399
LiveBench Math54.9%—
MATH Level 563.5%—
FrontierMath (Feb 2025 set)0.7%—

Knowledge Qwen3 32B leads

Grok-2 (Dec 2024): 29.8 (#233), Qwen3 32B: 40.0 (#125)

BenchmarkGrok-2 (Dec 2024)Qwen3 32B
GPQA Diamond53.8%65.7%
LMArena Expert12541362
Confabulations20.1%—
Vectara Hallucination Rate—5.9%

Multilingual Qwen3 32B leads

Grok-2 (Dec 2024): 43.1 (#188), Qwen3 32B: 45.6 (#167)

BenchmarkGrok-2 (Dec 2024)Qwen3 32B
LMArena Non-English12821317
LMArena Chinese12891357
LMArena German12871341
LMArena Russian12861311
LMArena French1318—
LMArena Japanese1244—
LMArena Korean1237—
LMArena Spanish1281—

Instruction Following Qwen3 32B leads

Grok-2 (Dec 2024): 66.9 (#202), Qwen3 32B: 68.9 (#179)

BenchmarkGrok-2 (Dec 2024)Qwen3 32B
LMArena Instruction Following12701305
LiveBench Instruction Following69.6%—

Long Context Qwen3 32B leads

Grok-2 (Dec 2024): 38.8 (#190), Qwen3 32B: 43.8 (#87)

BenchmarkGrok-2 (Dec 2024)Qwen3 32B
LMArena Longer Query12761327
Fiction.LiveBench—74.2%

Writing & Preference Qwen3 32B leads

Grok-2 (Dec 2024): 48.6 (#198), Qwen3 32B: 52.9 (#163)

BenchmarkGrok-2 (Dec 2024)Qwen3 32B
LMArena Text13051340
LMArena Creative Writing12841297
LMArena Multi-Turn12901331
Short-Story Creative Writing63.6%—
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 39.2 to 33.7 on the Noometry Index.

Is Grok-2 (Dec 2024) or Qwen3 32B better for coding?

Qwen3 32B scores higher on coding benchmarks: 37.7 versus 33.3 in the Noometry coding category.

How many benchmarks do Grok-2 (Dec 2024) and Qwen3 32B share?

17 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen3 32B has 26.

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