Noometry

Model comparison

GPT-4.1 mini vs Qwen2.5 14B Instruct

GPT-4.1 mini has enough public results to be ranked (#240); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Qwen2.5 14B Instruct Alibaba (Qwen)

38.7

Unranked Sparse

Summary

  • They share 1 benchmark with published results for both. GPT-4.1 mini scores higher in 0 categories and Qwen2.5 14B Instruct in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where Qwen2.5 14B Instruct leads 37.7 to 30.6.
  • The biggest single-benchmark swing is BigCodeBench Instruct: 48.9% for GPT-4.1 mini and 39.8% for Qwen2.5 14B Instruct.
  • Qwen2.5 14B Instruct is cheaper at $0.35 / $1.40 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 131K.
  • Qwen2.5 14B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen2.5 14B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.638.7
Released2025-04-142024-09
WeightsProprietaryOpen
Context window1.05M131K
Max output33K8K
Input $ / M tokens$0.40$0.35
Output $ / M tokens$1.60$1.40
Results tracked473

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Category by category

Coding Qwen2.5 14B Instruct leads

GPT-4.1 mini: 30.6 (#293), Qwen2.5 14B Instruct: 37.7 (#191)

BenchmarkGPT-4.1 miniQwen2.5 14B Instruct
BigCodeBench Instruct48.9%39.8%
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
LMArena Coding1367—
BigCodeBench Complete—52.2%
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Qwen2.5 14B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 14B Instruct
Berkeley Function Calling Leaderboard50.5%—

Reasoning Not comparable

GPT-4.1 mini: 10.8 (#340), Qwen2.5 14B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 14B Instruct
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
LMArena Hard Prompts1349—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
Epoch Capabilities Index135.01—

Math Not comparable

GPT-4.1 mini: 24.1 (#270), Qwen2.5 14B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 14B Instruct
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
LMArena Math1343—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Not comparable

GPT-4.1 mini: 34.7 (#194), Qwen2.5 14B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 14B Instruct
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
LMArena Expert1338—
MMLU—79.9%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Qwen2.5 14B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 14B Instruct
LMArena Vision1181—

Multilingual Not comparable

GPT-4.1 mini: 45.7 (#166), Qwen2.5 14B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 14B 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 14B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 14B Instruct
IFEval90.4%—
LMArena Instruction Following1333—

Long Context Not comparable

GPT-4.1 mini: 31.8 (#275), Qwen2.5 14B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 14B Instruct
Fiction.LiveBench44.4%—
LMArena Longer Query1344—

Writing & Preference Not comparable

GPT-4.1 mini: 48.6 (#199), Qwen2.5 14B Instruct: —

BenchmarkGPT-4.1 miniQwen2.5 14B 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 14B Instruct?

GPT-4.1 mini has enough public results to be ranked (#240); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.

Which is cheaper, GPT-4.1 mini or Qwen2.5 14B Instruct?

Qwen2.5 14B Instruct is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Is GPT-4.1 mini or Qwen2.5 14B Instruct better for coding?

Qwen2.5 14B Instruct scores higher on coding benchmarks: 37.7 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 14B Instruct share?

1 benchmark has published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen2.5 14B Instruct has 3.

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