Noometry

Model comparison

GPT-4.1 vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 39.2 to 35.9 on the Noometry Index.

Last verified . 24 shared benchmarks.

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 24 benchmarks with published results for both. GPT-4.1 scores higher in 4 categories and Qwen3 32B in 5 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3 32B leads 39.7 to 22.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 38.3% for GPT-4.1 and 66.9% for Qwen3 32B.
  • Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $2 / $8 for GPT-4.1.
  • GPT-4.1 accepts more context: 1.05M tokens versus 131K.
  • Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1Qwen3 32B
ProviderOpenAIAlibaba (Qwen)
Noometry Index35.939.2
Released2025-04-142025-04
WeightsProprietaryOpen
Context window1.05M131K
Max output33K16K
Input $ / M tokens$2$0.70
Output $ / M tokens$8$2.80
Results tracked5226

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Category by category

Coding Qwen3 32B leads

GPT-4.1: 34.4 (#238), Qwen3 32B: 37.7 (#190)

BenchmarkGPT-4.1Qwen3 32B
Aider Polyglot52.4%40%
LMArena Coding13911358
SWE-bench Verified48.5%—
SWE-bench Verified (bash only)39.6%—
SciCode—35.4%
WeirdML39%—
CadEval42%—
ALE-Bench558.1—

Agentic & Tool Use GPT-4.1 leads

GPT-4.1: 34.7 (#43), Qwen3 32B: 32.6 (#62)

BenchmarkGPT-4.1Qwen3 32B
Berkeley Function Calling Leaderboard54%48.7%

Reasoning Qwen3 32B leads

GPT-4.1: 11.7 (#339), Qwen3 32B: 20.2 (#241)

BenchmarkGPT-4.1Qwen3 32B
Kagi LLM Benchmark52.3%54.9%
Chess Puzzles6%5%
LMArena Hard Prompts13841334
DTBench68.3%67.5%
LMCA25.6%17.3%
Epoch Capabilities Index136.78138.51
ARC-AGI-20.4%—
SimpleBench27%—
ARC-AGI-15.5%—
CritPt—0.3%
EnigmaEval2.2%—
ForecastBench61.5—

Math Qwen3 32B leads

GPT-4.1: 22.3 (#280), Qwen3 32B: 39.7 (#99)

BenchmarkGPT-4.1Qwen3 32B
OTIS Mock AIME 2024-202538.3%66.9%
LMArena Math13701399
FrontierMath (Tiers 1-3)6%—
Omni-MATH47.1%—
MATH Level 583%—
FrontierMath (Feb 2025 set)5.5%—
FrontierMath Tier 4 (v1)0%—

Knowledge Qwen3 32B leads

GPT-4.1: 37.1 (#160), Qwen3 32B: 40.0 (#125)

BenchmarkGPT-4.1Qwen3 32B
GPQA Diamond66.9%65.7%
Vectara Hallucination Rate5.6%5.9%
LMArena Expert13641362
Humanity's Last Exam5.4%—
SimpleQA Verified31.1%—
MMLU-Pro81.1%—
GPQA (HELM)65.9%—

Multimodal Not comparable

GPT-4.1: 38.2 (#67), Qwen3 32B: —

BenchmarkGPT-4.1Qwen3 32B
LMArena Vision1211—
GeoBench72%—

Multilingual GPT-4.1 leads

GPT-4.1: 49.4 (#133), Qwen3 32B: 45.6 (#167)

BenchmarkGPT-4.1Qwen3 32B
LMArena Non-English13701317
LMArena Chinese13821357
LMArena German13811341
LMArena Russian13771311
LMArena French1382—
LMArena Japanese1319—
LMArena Korean1339—
LMArena Spanish1376—

Instruction Following GPT-4.1 leads

GPT-4.1: 71.3 (#153), Qwen3 32B: 68.9 (#179)

BenchmarkGPT-4.1Qwen3 32B
LMArena Instruction Following13671305
IFEval83.8%—

Long Context Qwen3 32B leads

GPT-4.1: 40.0 (#163), Qwen3 32B: 43.8 (#87)

BenchmarkGPT-4.1Qwen3 32B
Fiction.LiveBench63.9%74.2%
LMArena Longer Query13851327

Writing & Preference GPT-4.1 leads

GPT-4.1: 57.6 (#125), Qwen3 32B: 52.9 (#163)

BenchmarkGPT-4.1Qwen3 32B
LMArena Text13831340
LMArena Creative Writing13631297
LMArena Multi-Turn13981331
EQ-Bench Creative Writing1420—
WildBench85.4%—

Frequently asked questions

Is GPT-4.1 better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 39.2 to 35.9 on the Noometry Index.

Which is cheaper, GPT-4.1 or Qwen3 32B?

Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; GPT-4.1 lists at $2 and $8.

Is GPT-4.1 or Qwen3 32B better for coding?

Qwen3 32B scores higher on coding benchmarks: 37.7 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 131K.

How many benchmarks do GPT-4.1 and Qwen3 32B share?

24 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Qwen3 32B has 26.

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