Noometry

Model comparison

Grok 4.1 vs Qwen3 235B-A22B

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 41.5 on the Noometry Index.

Last verified . 17 shared benchmarks.

Grok 4.1 xAI

41.5

Rank #134 Confirmed

Qwen3 235B-A22B Alibaba (Qwen)

43.5

Rank #91 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Grok 4.1 scores higher in 5 categories and Qwen3 235B-A22B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.1 leads 29.5 to 15.7.
  • Qwen3 235B-A22B has downloadable open weights; the other is API-only.

Side by side

Grok 4.1Qwen3 235B-A22B
ProviderxAIAlibaba (Qwen)
Noometry Index41.543.5
Released2025-11-172025-04
WeightsProprietaryOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked1949

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Category by category

Coding Qwen3 235B-A22B leads

Grok 4.1: 33.7 (#253), Qwen3 235B-A22B: 44.3 (#75)

BenchmarkGrok 4.1Qwen3 235B-A22B
LMArena Coding14451445
Aider Polyglot—59.6%
LMArena WebDev1214—
SciCode—42.4%
WeirdML—41%

Agentic & Tool Use Too close to call

Grok 4.1: 34.1 (#49), Qwen3 235B-A22B: 33.9 (#51)

BenchmarkGrok 4.1Qwen3 235B-A22B
Berkeley Function Calling Leaderboard—52.1%
Cybench39%—
Vending-Bench 2—-11.34

Reasoning Grok 4.1 leads

Grok 4.1: 29.5 (#91), Qwen3 235B-A22B: 15.7 (#311)

BenchmarkGrok 4.1Qwen3 235B-A22B
LMArena Hard Prompts14351433
ARC-AGI-2—1.3%
SimpleBench—31%
Kagi LLM Benchmark—69.4%
ARC-AGI-1—11%
CritPt—0%
Chess Puzzles—12%
Mystery Game Puzzles—9%
DTBench—80.3%
LMCA—29.3%
Epoch Capabilities Index—143.85
ForecastBench—59.7

Math Qwen3 235B-A22B leads

Grok 4.1: 38.9 (#120), Qwen3 235B-A22B: 50.4 (#57)

BenchmarkGrok 4.1Qwen3 235B-A22B
LMArena Math14221432
OTIS Mock AIME 2024-2025—86.7%
Omni-MATH—71.8%
MATH Level 5—68.9%
FrontierMath (Feb 2025 set)—8.5%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3 235B-A22B leads

Grok 4.1: 39.5 (#133), Qwen3 235B-A22B: 49.6 (#73)

BenchmarkGrok 4.1Qwen3 235B-A22B
LMArena Expert14171463
GPQA Diamond—80.1%
SimpleQA Verified—40.4%
MMLU-Pro—84.4%
Confabulations—15.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—72.7%

Multilingual Grok 4.1 leads

Grok 4.1: 53.4 (#68), Qwen3 235B-A22B: 52.3 (#89)

BenchmarkGrok 4.1Qwen3 235B-A22B
LMArena Non-English14251409
LMArena Chinese14651481
LMArena French14481445
LMArena German14461433
LMArena Japanese13971399
LMArena Korean14071391
LMArena Russian14341411
LMArena Spanish14381430

Instruction Following Grok 4.1 leads

Grok 4.1: 73.8 (#111), Qwen3 235B-A22B: 72.6 (#136)

BenchmarkGrok 4.1Qwen3 235B-A22B
LMArena Instruction Following14001408
IFEval—83.5%

Long Context Qwen3 235B-A22B leads

Grok 4.1: 43.2 (#100), Qwen3 235B-A22B: 46.1 (#26)

BenchmarkGrok 4.1Qwen3 235B-A22B
LMArena Longer Query14161426
Fiction.LiveBench—75%

Writing & Preference Grok 4.1 leads

Grok 4.1: 62.4 (#75), Qwen3 235B-A22B: 59.6 (#108)

BenchmarkGrok 4.1Qwen3 235B-A22B
LMArena Text14371419
LMArena Creative Writing14111384
LMArena Multi-Turn14371432
Short-Story Creative Writing—83%
EQ-Bench Creative Writing—1366
WildBench—86.6%

Frequently asked questions

Is Grok 4.1 better than Qwen3 235B-A22B?

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 41.5 on the Noometry Index.

Is Grok 4.1 or Qwen3 235B-A22B better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 44.3 versus 33.7 in the Noometry coding category.

How many benchmarks do Grok 4.1 and Qwen3 235B-A22B share?

17 benchmarks have published results for both models. Grok 4.1 has 19 scored results on Noometry and Qwen3 235B-A22B has 49.

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