Noometry

Model comparison

Grok-2 (Dec 2024) vs Qwen3.5 27B

Qwen3.5 27B is the stronger model overall, scoring 41.4 to 33.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.4

Rank #233 Confirmed

Qwen3.5 27B Alibaba (Qwen)

41.4

Rank #127 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 0 categories and Qwen3.5 27B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.5 27B leads 36.8 to 19.6.
  • The biggest single-benchmark swing is WeirdML: 22.2% for Grok-2 (Dec 2024) and 39.5% for Qwen3.5 27B.
  • Qwen3.5 27B has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024)Qwen3.5 27B
ProviderxAIAlibaba (Qwen)
Noometry Index33.441.4
Released2024-08-132026-02-23
WeightsProprietaryOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.30
Output $ / M tokens—$2.40
Results tracked3428

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Category by category

Coding Qwen3.5 27B leads

Grok-2 (Dec 2024): 32.9 (#254), Qwen3.5 27B: 38.6 (#159)

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
WeirdML22.2%39.5%
LMArena Coding12881427
LMArena WebDev—1357
LiveBench Coding46.4%—
ALE-Bench—349.45

Agentic & Tool Use Not comparable

Grok-2 (Dec 2024): —, Qwen3.5 27B: —

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
Vending-Bench 2—201.98

Reasoning Qwen3.5 27B leads

Grok-2 (Dec 2024): 16.4 (#294), Qwen3.5 27B: 26.6 (#116)

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
LMArena Hard Prompts12721414
DTBench65.2%82.4%
SimpleBench22.7%—
NYT Connections (extended)—47.9%
Thematic Generalization—45.5%
LiveBench Reasoning54.8%—
LiveBench Data Analysis54.5%—
LMCA—34%
Epoch Capabilities Index130.48—
LiveBench54.3%—

Math Qwen3.5 27B leads

Grok-2 (Dec 2024): 19.6 (#278), Qwen3.5 27B: 36.8 (#103)

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
LMArena Math12831428
MathArena Final-Answer Competitions—56.7%
OTIS Mock AIME 2024-202511.5%—
LiveBench Math54.9%—
MATH Level 563.5%—
FrontierMath (Feb 2025 set)0.7%—

Knowledge Qwen3.5 27B leads

Grok-2 (Dec 2024): 29.8 (#225), Qwen3.5 27B: 37.4 (#149)

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
LMArena Expert12541428
GPQA Diamond53.8%—
Confabulations20.1%—
Vectara Hallucination Rate—12.1%

Multimodal Not comparable

Grok-2 (Dec 2024): —, Qwen3.5 27B: 38.7 (#56)

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
LMArena Vision—1240

Multilingual Qwen3.5 27B leads

Grok-2 (Dec 2024): 43.3 (#183), Qwen3.5 27B: 51.0 (#112)

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
LMArena Non-English12821390
LMArena Chinese12891478
LMArena French13171409
LMArena German12871393
LMArena Japanese12441345
LMArena Korean12371359
LMArena Russian12861389
LMArena Spanish12811408

Instruction Following Qwen3.5 27B leads

Grok-2 (Dec 2024): 67.1 (#197), Qwen3.5 27B: 73.7 (#114)

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
LMArena Instruction Following12701393
LiveBench Instruction Following69.6%—

Long Context Qwen3.5 27B leads

Grok-2 (Dec 2024): 38.7 (#186), Qwen3.5 27B: 43.1 (#103)

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
LMArena Longer Query12761413

Writing & Preference Qwen3.5 27B leads

Grok-2 (Dec 2024): 48.8 (#192), Qwen3.5 27B: 59.5 (#106)

BenchmarkGrok-2 (Dec 2024)Qwen3.5 27B
LMArena Text13051409
LMArena Creative Writing12841362
LMArena Multi-Turn12901410
Short-Story Creative Writing63.6%—
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Qwen3.5 27B?

Qwen3.5 27B is the stronger model overall, scoring 41.4 to 33.4 on the Noometry Index.

Is Grok-2 (Dec 2024) or Qwen3.5 27B better for coding?

Qwen3.5 27B scores higher on coding benchmarks: 38.6 versus 32.9 in the Noometry coding category.

How many benchmarks do Grok-2 (Dec 2024) and Qwen3.5 27B share?

19 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen3.5 27B has 28.

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