Noometry

Model comparison

GPT-4.1 mini vs Qwen1.5-32B

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.5 on the Noometry Index.

Last verified . 19 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Qwen1.5-32B Alibaba (Qwen)

30.5

Rank #293 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GPT-4.1 mini scores higher in 4 categories and Qwen1.5-32B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 13.5.
  • The biggest single-benchmark swing is GPQA Diamond: 65.8% for GPT-4.1 mini and 30.7% for Qwen1.5-32B.
  • Qwen1.5-32B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen1.5-32B
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.630.5
Released2025-04-142024-02-04
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4721

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Category by category

Coding Qwen1.5-32B leads

GPT-4.1 mini: 30.6 (#293), Qwen1.5-32B: 31.7 (#282)

BenchmarkGPT-4.1 miniQwen1.5-32B
BigCodeBench Instruct48.9%32.3%
LMArena Coding13671155
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Complete—42%
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Qwen1.5-32B: —

BenchmarkGPT-4.1 miniQwen1.5-32B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Qwen1.5-32B leads

GPT-4.1 mini: 10.8 (#340), Qwen1.5-32B: 21.8 (#212)

BenchmarkGPT-4.1 miniQwen1.5-32B
LMArena Hard Prompts13491130
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
Epoch Capabilities Index135.01—

Math Qwen1.5-32B leads

GPT-4.1 mini: 24.1 (#270), Qwen1.5-32B: 33.0 (#207)

BenchmarkGPT-4.1 miniQwen1.5-32B
LMArena Math13431155
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Qwen1.5-32B: 13.5 (#296)

BenchmarkGPT-4.1 miniQwen1.5-32B
GPQA Diamond65.8%30.7%
LMArena Expert13381126
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
MMLU—74.4%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Qwen1.5-32B: —

BenchmarkGPT-4.1 miniQwen1.5-32B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Qwen1.5-32B: 31.4 (#259)

BenchmarkGPT-4.1 miniQwen1.5-32B
LMArena Non-English13181106
LMArena Chinese13291177
LMArena French13581101
LMArena German13511058
LMArena Japanese12901027
LMArena Korean12981008
LMArena Russian13241073
LMArena Spanish13191089

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Qwen1.5-32B: 57.7 (#265)

BenchmarkGPT-4.1 miniQwen1.5-32B
LMArena Instruction Following13331116
IFEval90.4%—

Long Context Qwen1.5-32B leads

GPT-4.1 mini: 31.8 (#275), Qwen1.5-32B: 34.7 (#246)

BenchmarkGPT-4.1 miniQwen1.5-32B
LMArena Longer Query13441146
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Qwen1.5-32B: 34.2 (#271)

BenchmarkGPT-4.1 miniQwen1.5-32B
LMArena Text13401137
LMArena Creative Writing13001083
LMArena Multi-Turn13541140
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Qwen1.5-32B?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.5 on the Noometry Index.

Is GPT-4.1 mini or Qwen1.5-32B better for coding?

Qwen1.5-32B scores higher on coding benchmarks: 31.7 versus 30.6 in the Noometry coding category.

How many benchmarks do GPT-4.1 mini and Qwen1.5-32B share?

19 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen1.5-32B has 21.

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