Noometry

Model comparison

GPT-4.1 mini vs Qwen1.5-14B

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 32.1 on the Noometry Index.

Last verified . 16 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Qwen1.5-14B Alibaba (Qwen)

32.1

Rank #250 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GPT-4.1 mini scores higher in 4 categories and Qwen1.5-14B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where GPT-4.1 mini leads 73.9 to 57.1.
  • Qwen1.5-14B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen1.5-14B
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.532.1
Released2025-04-142024-02-04
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4717

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Qwen1.5-14B leads

GPT-4.1 mini: 30.4 (#286), Qwen1.5-14B: 32.5 (#259)

BenchmarkGPT-4.1 miniQwen1.5-14B
LMArena Coding13671138
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: 33.0 (#52), Qwen1.5-14B: —

BenchmarkGPT-4.1 miniQwen1.5-14B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Qwen1.5-14B leads

GPT-4.1 mini: 10.9 (#335), Qwen1.5-14B: 20.5 (#217)

BenchmarkGPT-4.1 miniQwen1.5-14B
LMArena Hard Prompts13491113
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 Qwen1.5-14B leads

GPT-4.1 mini: 23.1 (#264), Qwen1.5-14B: 29.9 (#214)

BenchmarkGPT-4.1 miniQwen1.5-14B
LMArena Math13431125
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 (#183), Qwen1.5-14B: 29.3 (#230)

BenchmarkGPT-4.1 miniQwen1.5-14B
LMArena Expert13381094
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
MMLU—68.6%

Multimodal Not comparable

GPT-4.1 mini: 35.2 (#77), Qwen1.5-14B: —

BenchmarkGPT-4.1 miniQwen1.5-14B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.9 (#161), Qwen1.5-14B: 30.8 (#257)

BenchmarkGPT-4.1 miniQwen1.5-14B
LMArena Non-English13181095
LMArena Chinese13291147
LMArena French13571115
LMArena German13491043
LMArena Japanese12911019
LMArena Russian13241046
LMArena Spanish13191085
LMArena Korean1298—

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.9 (#113), Qwen1.5-14B: 57.1 (#266)

BenchmarkGPT-4.1 miniQwen1.5-14B
LMArena Instruction Following13321102
IFEval90.4%—

Long Context Qwen1.5-14B leads

GPT-4.1 mini: 31.8 (#270), Qwen1.5-14B: 33.7 (#252)

BenchmarkGPT-4.1 miniQwen1.5-14B
LMArena Longer Query13441113
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.8 (#193), Qwen1.5-14B: 33.7 (#270)

BenchmarkGPT-4.1 miniQwen1.5-14B
LMArena Text13411128
LMArena Creative Writing13001091
LMArena Multi-Turn13541110
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Qwen1.5-14B?

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 32.1 on the Noometry Index.

Is GPT-4.1 mini or Qwen1.5-14B better for coding?

Qwen1.5-14B scores higher on coding benchmarks: 32.5 versus 30.4 in the Noometry coding category.

How many benchmarks do GPT-4.1 mini and Qwen1.5-14B share?

16 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen1.5-14B has 17.

Related comparisons

Go deeper