Noometry

Model comparison

Grok 4.20 (Non-Reasoning) vs Qwen3 32B

Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 39.2 on the Noometry Index.

Last verified . 20 shared benchmarks.

Grok 4.20 (Non-Reasoning) xAI

48.6

Rank #54 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Grok 4.20 (Non-Reasoning) scores higher in 9 categories and Qwen3 32B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 20.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 92.2% for Grok 4.20 (Non-Reasoning) and 66.9% for Qwen3 32B.
  • Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 (Non-Reasoning).
  • Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 131K.
  • Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 (Non-Reasoning)Qwen3 32B
ProviderxAIAlibaba (Qwen)
Noometry Index48.639.2
Released2026-02-172025-04
WeightsProprietaryOpen
Context window1M131K
Max output30K16K
Input $ / M tokens$1.25$0.70
Output $ / M tokens$2.50$2.80
Results tracked4626

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Category by category

Coding Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 42.1 (#112), Qwen3 32B: 37.7 (#190)

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
LMArena Coding14591358
Aider Polyglot—40%
LMArena WebDev1375—
SciCode—35.4%
WeirdML52.3%—
ALE-Bench1,150—

Agentic & Tool Use Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 34.4 (#46), Qwen3 32B: 32.6 (#62)

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
Terminal-Bench57.3%—
Berkeley Function Calling Leaderboard—48.7%
τ²-bench Banking18%—
LMArena Search1189—
Vending-Bench 24,663—

Reasoning Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 52.3 (#32), Qwen3 32B: 20.2 (#241)

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
Kagi LLM Benchmark75%54.9%
Chess Puzzles24%5%
LMArena Hard Prompts14511334
DTBench90.1%67.5%
LMCA38.7%17.3%
Epoch Capabilities Index151.98138.51
ARC-AGI-265.1%—
NYT Connections (extended)85.4%—
ARC-AGI-189.5%—
CritPt—0.3%
Thematic Generalization63.8%—
ForecastBench61.4—

Math Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 48.2 (#65), Qwen3 32B: 39.7 (#99)

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
OTIS Mock AIME 2024-202592.2%66.9%
LMArena Math14551399
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 417.1%—
ProofBench14%—

Knowledge Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 52.8 (#60), Qwen3 32B: 40.0 (#125)

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
GPQA Diamond89.3%65.7%
LMArena Expert14391362
SimpleQA Verified30.2%—
Vectara Hallucination Rate—5.9%

Multimodal Not comparable

Grok 4.20 (Non-Reasoning): 33.3 (#98), Qwen3 32B: —

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
LMArena Vision1263—
Blueprint-Bench 20%—
LMArena Document1416—

Multilingual Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 54.5 (#40), Qwen3 32B: 45.6 (#167)

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
LMArena Non-English14411317
LMArena Chinese14811357
LMArena German14651341
LMArena Russian14581311
LMArena French1476—
LMArena Japanese1449—
LMArena Korean1417—
LMArena Spanish1443—

Instruction Following Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 74.8 (#83), Qwen3 32B: 68.9 (#179)

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
LMArena Instruction Following14201305

Long Context Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 45.5 (#34), Qwen3 32B: 43.8 (#87)

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
LMArena Longer Query14371327
Fiction.LiveBench—74.2%
CL-bench22.2%—
CL-bench Life11.9%—

Writing & Preference Grok 4.20 (Non-Reasoning) leads

Grok 4.20 (Non-Reasoning): 65.7 (#44), Qwen3 32B: 52.9 (#163)

BenchmarkGrok 4.20 (Non-Reasoning)Qwen3 32B
LMArena Text14511340
LMArena Creative Writing14381297
LMArena Multi-Turn14561331
EQ-Bench Creative Writing1574—

Frequently asked questions

Is Grok 4.20 (Non-Reasoning) better than Qwen3 32B?

Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 39.2 on the Noometry Index.

Which is cheaper, Grok 4.20 (Non-Reasoning) or Qwen3 32B?

Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Grok 4.20 (Non-Reasoning) lists at $1.25 and $2.50.

Is Grok 4.20 (Non-Reasoning) or Qwen3 32B better for coding?

Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 37.7 in the Noometry coding category.

Which has the bigger context window?

Grok 4.20 (Non-Reasoning) does, with 1M tokens against 131K.

How many benchmarks do Grok 4.20 (Non-Reasoning) and Qwen3 32B share?

20 benchmarks have published results for both models. Grok 4.20 (Non-Reasoning) has 46 scored results on Noometry and Qwen3 32B has 26.

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