Noometry

Model comparison

GPT-4.1 mini vs Qwen3 14B

Qwen3 14B is the stronger model overall, scoring 35.0 to 33.5 on the Noometry Index.

Last verified . 11 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Qwen3 14B Alibaba (Qwen)

35.0

Rank #222 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and Qwen3 14B in 5 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3 14B leads 37.0 to 23.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 66.4% for Qwen3 14B.
  • Qwen3 14B 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.
  • Qwen3 14B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen3 14B
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.535.0
Released2025-04-142025-04
WeightsProprietaryOpen
Context window1.05M131K
Max output33K8K
Input $ / M tokens$0.40$0.35
Output $ / M tokens$1.60$1.40
Results tracked4712

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Category by category

Coding Qwen3 14B leads

GPT-4.1 mini: 30.4 (#286), Qwen3 14B: 36.7 (#191)

BenchmarkGPT-4.1 miniQwen3 14B
SciCode40.4%31.6%
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
LMArena Coding1367—
CadEval16%—

Agentic & Tool Use GPT-4.1 mini leads

GPT-4.1 mini: 33.0 (#52), Qwen3 14B: 29.4 (#78)

BenchmarkGPT-4.1 miniQwen3 14B
Berkeley Function Calling Leaderboard50.5%41%

Reasoning Qwen3 14B leads

GPT-4.1 mini: 10.9 (#335), Qwen3 14B: 18.1 (#272)

BenchmarkGPT-4.1 miniQwen3 14B
Kagi LLM Benchmark48.6%49.1%
CritPt0%0%
Chess Puzzles7%4%
DTBench68.8%64%
LMCA21.1%18.2%
Epoch Capabilities Index135.01138.23
ARC-AGI-20%—
ARC-AGI-13.5%—
LMArena Hard Prompts1349—
Mystery Game Puzzles7%—

Math Qwen3 14B leads

GPT-4.1 mini: 23.1 (#264), Qwen3 14B: 37.0 (#102)

BenchmarkGPT-4.1 miniQwen3 14B
OTIS Mock AIME 2024-202544.7%66.4%
FrontierMath (Tiers 1-3)6.7%—
Omni-MATH49.1%—
LMArena Math1343—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Qwen3 14B leads

GPT-4.1 mini: 34.7 (#183), Qwen3 14B: 39.2 (#124)

BenchmarkGPT-4.1 miniQwen3 14B
GPQA Diamond65.8%63.8%
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
Vectara Hallucination Rate—5.4%
GPQA (HELM)61.4%—
LMArena Expert1338—

Multimodal Not comparable

GPT-4.1 mini: 35.2 (#77), Qwen3 14B: —

BenchmarkGPT-4.1 miniQwen3 14B
LMArena Vision1181—

Multilingual Not comparable

GPT-4.1 mini: 45.9 (#161), Qwen3 14B: —

BenchmarkGPT-4.1 miniQwen3 14B
LMArena Non-English1318—
LMArena Chinese1329—
LMArena French1357—
LMArena German1349—
LMArena Japanese1291—
LMArena Korean1298—
LMArena Russian1324—
LMArena Spanish1319—

Instruction Following Not comparable

GPT-4.1 mini: 73.9 (#113), Qwen3 14B: —

BenchmarkGPT-4.1 miniQwen3 14B
IFEval90.4%—
LMArena Instruction Following1332—

Long Context Qwen3 14B leads

GPT-4.1 mini: 31.8 (#270), Qwen3 14B: 38.0 (#201)

BenchmarkGPT-4.1 miniQwen3 14B
Fiction.LiveBench44.4%62.5%
LMArena Longer Query1344—

Writing & Preference Not comparable

GPT-4.1 mini: 48.8 (#193), Qwen3 14B: —

BenchmarkGPT-4.1 miniQwen3 14B
LMArena Text1341—
LMArena Creative Writing1300—
EQ-Bench Creative Writing1147—
WildBench83.8%—
LMArena Multi-Turn1354—

Frequently asked questions

Is GPT-4.1 mini better than Qwen3 14B?

Qwen3 14B is the stronger model overall, scoring 35.0 to 33.5 on the Noometry Index.

Which is cheaper, GPT-4.1 mini or Qwen3 14B?

Qwen3 14B 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 Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 36.7 versus 30.4 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 Qwen3 14B share?

11 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3 14B has 12.

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