Noometry

Model comparison

GPT-4.1 mini vs Qwen-14B

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GPT-4.1 mini scores higher in 4 categories and Qwen-14B in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where GPT-4.1 mini leads 73.7 to 52.4.
  • Qwen-14B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen-14B
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.631.4
Released2025-04-142023-09-24
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4718

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Category by category

Coding Too close to call

GPT-4.1 mini: 30.6 (#293), Qwen-14B: 31.2 (#288)

BenchmarkGPT-4.1 miniQwen-14B
LMArena Coding13671071
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Qwen-14B: —

BenchmarkGPT-4.1 miniQwen-14B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Qwen-14B leads

GPT-4.1 mini: 10.8 (#340), Qwen-14B: 19.6 (#257)

BenchmarkGPT-4.1 miniQwen-14B
LMArena Hard Prompts13491027
Epoch Capabilities Index135.01113.03
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
BIG-Bench Hard—55%
LAMBADA—71.1%
PIQA—79.9%

Math Qwen-14B leads

GPT-4.1 mini: 24.1 (#270), Qwen-14B: 31.2 (#227)

BenchmarkGPT-4.1 miniQwen-14B
LMArena Math13431068
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%—
GSM8K—61.3%

Knowledge Not comparable

GPT-4.1 mini: 34.7 (#194), Qwen-14B: —

BenchmarkGPT-4.1 miniQwen-14B
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
LMArena Expert1338—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Qwen-14B: —

BenchmarkGPT-4.1 miniQwen-14B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Qwen-14B: 27.5 (#275)

BenchmarkGPT-4.1 miniQwen-14B
LMArena Non-English13181041
LMArena Chinese13291077
LMArena French1358—
LMArena German1351—
LMArena Japanese1290—
LMArena Korean1298—
LMArena Russian1324—
LMArena Spanish1319—

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Qwen-14B: 52.4 (#289)

BenchmarkGPT-4.1 miniQwen-14B
LMArena Instruction Following13331031
IFEval90.4%—

Long Context Too close to call

GPT-4.1 mini: 31.8 (#275), Qwen-14B: 31.3 (#280)

BenchmarkGPT-4.1 miniQwen-14B
LMArena Longer Query13441028
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Qwen-14B: 27.6 (#299)

BenchmarkGPT-4.1 miniQwen-14B
LMArena Text13401051
LMArena Creative Writing13001028
LMArena Multi-Turn13541022
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Qwen-14B?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 31.4 on the Noometry Index.

Is GPT-4.1 mini or Qwen-14B better for coding?

They score almost the same on coding (30.6 vs 31.2); test both on your own repository before choosing.

How many benchmarks do GPT-4.1 mini and Qwen-14B share?

11 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen-14B has 18.

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