Noometry

Model comparison

GPT-4.1 mini vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 38.8 to 33.5 on the Noometry Index. GPT-4.1 mini costs 1.7× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

Last verified . 25 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Qwen3 32B Alibaba (Qwen)

38.8

Rank #166 Confirmed

Summary

  • They share 25 benchmarks with published results for both. GPT-4.1 mini scores higher in 3 categories and Qwen3 32B in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3 32B leads 37.9 to 23.1.
  • The biggest single-benchmark swing is Fiction.LiveBench: 44.4% for GPT-4.1 mini and 74.2% for Qwen3 32B.
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 131K.
  • Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen3 32B
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.538.8
Released2025-04-142025-04
WeightsProprietaryOpen
Context window1.05M131K
Max output33K16K
Input $ / M tokens$0.40$0.70
Output $ / M tokens$1.60$2.80
Results tracked4726

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Category by category

Coding Qwen3 32B leads

GPT-4.1 mini: 30.4 (#286), Qwen3 32B: 37.3 (#184)

BenchmarkGPT-4.1 miniQwen3 32B
Aider Polyglot32.4%40%
SciCode40.4%35.4%
LMArena Coding13671358
SWE-bench Verified (bash only)23.9%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—

Agentic & Tool Use Too close to call

GPT-4.1 mini: 33.0 (#52), Qwen3 32B: 32.3 (#58)

BenchmarkGPT-4.1 miniQwen3 32B
Berkeley Function Calling Leaderboard50.5%48.7%

Reasoning Qwen3 32B leads

GPT-4.1 mini: 10.9 (#335), Qwen3 32B: 19.6 (#233)

BenchmarkGPT-4.1 miniQwen3 32B
Kagi LLM Benchmark48.6%54.9%
CritPt0%0.3%
Chess Puzzles7%5%
LMArena Hard Prompts13491335
DTBench68.8%67.5%
LMCA21.1%17.3%
Epoch Capabilities Index135.01138.51
ARC-AGI-20%—
ARC-AGI-13.5%—
Mystery Game Puzzles7%—

Math Qwen3 32B leads

GPT-4.1 mini: 23.1 (#264), Qwen3 32B: 37.9 (#89)

BenchmarkGPT-4.1 miniQwen3 32B
OTIS Mock AIME 2024-202544.7%66.9%
LMArena Math13431399
FrontierMath (Tiers 1-3)6.7%—
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Qwen3 32B leads

GPT-4.1 mini: 34.7 (#183), Qwen3 32B: 40.0 (#112)

BenchmarkGPT-4.1 miniQwen3 32B
GPQA Diamond65.8%65.7%
LMArena Expert13381362
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
Vectara Hallucination Rate—5.9%
GPQA (HELM)61.4%—

Multimodal Not comparable

GPT-4.1 mini: 35.2 (#77), Qwen3 32B: —

BenchmarkGPT-4.1 miniQwen3 32B
LMArena Vision1181—

Multilingual Too close to call

GPT-4.1 mini: 45.9 (#161), Qwen3 32B: 45.8 (#162)

BenchmarkGPT-4.1 miniQwen3 32B
LMArena Non-English13181317
LMArena Chinese13291357
LMArena German13491341
LMArena Russian13241311
LMArena French1357—
LMArena Japanese1291—
LMArena Korean1298—
LMArena Spanish1319—

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.9 (#113), Qwen3 32B: 69.1 (#174)

BenchmarkGPT-4.1 miniQwen3 32B
LMArena Instruction Following13321305
IFEval90.4%—

Long Context Qwen3 32B leads

GPT-4.1 mini: 31.8 (#270), Qwen3 32B: 43.7 (#83)

BenchmarkGPT-4.1 miniQwen3 32B
Fiction.LiveBench44.4%74.2%
LMArena Longer Query13441327

Writing & Preference Qwen3 32B leads

GPT-4.1 mini: 48.8 (#193), Qwen3 32B: 53.1 (#158)

BenchmarkGPT-4.1 miniQwen3 32B
LMArena Text13411340
LMArena Creative Writing13001297
LMArena Multi-Turn13541331
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 38.8 to 33.5 on the Noometry Index. GPT-4.1 mini costs 1.7× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

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

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

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

Qwen3 32B scores higher on coding benchmarks: 37.3 versus 30.4 in the Noometry coding category.

Which has the bigger context window?

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

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

25 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3 32B has 26.

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