Noometry

Model comparison

GPT-4.1 mini vs Qwen2.5 32B Instruct

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.1 on the Noometry Index.

Last verified . 6 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Qwen2.5 32B Instruct Alibaba (Qwen)

30.1

Rank #297 Confirmed

Summary

  • They share 6 benchmarks with published results for both. GPT-4.1 mini scores higher in 2 categories and Qwen2.5 32B Instruct in 2 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 24.9.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 7.4% for Qwen2.5 32B Instruct.
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 131K.
  • Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen2.5 32B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.630.1
Released2025-04-142024-09
WeightsProprietaryOpen
Context window1.05M131K
Max output33K8K
Input $ / M tokens$0.40$0.70
Output $ / M tokens$1.60$2.80
Results tracked477

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Category by category

Coding Qwen2.5 32B Instruct leads

GPT-4.1 mini: 30.6 (#293), Qwen2.5 32B Instruct: 38.7 (#169)

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
BigCodeBench Instruct48.9%45%
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
LMArena Coding1367—
BigCodeBench Complete—52.3%
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
Berkeley Function Calling Leaderboard50.5%—

Reasoning Qwen2.5 32B Instruct leads

GPT-4.1 mini: 10.8 (#340), Qwen2.5 32B Instruct: 19.2 (#266)

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
Chess Puzzles7%0%
Epoch Capabilities Index135.01128.52
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
LMArena Hard Prompts1349—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—

Math GPT-4.1 mini leads

GPT-4.1 mini: 24.1 (#270), Qwen2.5 32B Instruct: 16.2 (#296)

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
OTIS Mock AIME 2024-202544.7%7.4%
MATH Level 587.3%56.1%
FrontierMath (Tiers 1-3)6.7%—
Omni-MATH49.1%—
LMArena Math1343—
FrontierMath (Feb 2025 set)4.5%—

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Qwen2.5 32B Instruct: 24.9 (#266)

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
GPQA Diamond65.8%46.1%
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
LMArena Expert1338—

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
LMArena Vision1181—

Multilingual Not comparable

GPT-4.1 mini: 45.7 (#166), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
LMArena Non-English1318—
LMArena Chinese1329—
LMArena French1358—
LMArena German1351—
LMArena Japanese1290—
LMArena Korean1298—
LMArena Russian1324—
LMArena Spanish1319—

Instruction Following Not comparable

GPT-4.1 mini: 73.7 (#118), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
IFEval90.4%—
LMArena Instruction Following1333—

Long Context Not comparable

GPT-4.1 mini: 31.8 (#275), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
Fiction.LiveBench44.4%—
LMArena Longer Query1344—

Writing & Preference Not comparable

GPT-4.1 mini: 48.6 (#199), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 32B Instruct
LMArena Text1340—
LMArena Creative Writing1300—
EQ-Bench Creative Writing1147—
WildBench83.8%—
LMArena Multi-Turn1354—

Frequently asked questions

Is GPT-4.1 mini better than Qwen2.5 32B Instruct?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.1 on the Noometry Index.

Which is cheaper, GPT-4.1 mini or Qwen2.5 32B Instruct?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.

Is GPT-4.1 mini or Qwen2.5 32B Instruct better for coding?

Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.7 versus 30.6 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 Qwen2.5 32B Instruct share?

6 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen2.5 32B Instruct has 7.

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