Noometry

Model comparison

GPT-4.1 mini vs Qwen1.5-7B

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 30.8 on the Noometry Index.

Last verified . 12 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Qwen1.5-7B Alibaba (Qwen)

30.8

Rank #270 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-4.1 mini scores higher in 4 categories and Qwen1.5-7B 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 54.4.
  • Qwen1.5-7B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen1.5-7B
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.530.8
Released2025-04-142024-02-04
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4713

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Category by category

Coding Qwen1.5-7B leads

GPT-4.1 mini: 30.4 (#286), Qwen1.5-7B: 31.6 (#271)

BenchmarkGPT-4.1 miniQwen1.5-7B
LMArena Coding13671107
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), Qwen1.5-7B: —

BenchmarkGPT-4.1 miniQwen1.5-7B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Qwen1.5-7B leads

GPT-4.1 mini: 10.9 (#335), Qwen1.5-7B: 19.5 (#237)

BenchmarkGPT-4.1 miniQwen1.5-7B
LMArena Hard Prompts13491066
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 Qwen1.5-7B leads

GPT-4.1 mini: 23.1 (#264), Qwen1.5-7B: 29.0 (#222)

BenchmarkGPT-4.1 miniQwen1.5-7B
LMArena Math13431080
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), Qwen1.5-7B: 28.2 (#239)

BenchmarkGPT-4.1 miniQwen1.5-7B
LMArena Expert13381055
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
MMLU—62.6%

Multimodal Not comparable

GPT-4.1 mini: 35.2 (#77), Qwen1.5-7B: —

BenchmarkGPT-4.1 miniQwen1.5-7B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.9 (#161), Qwen1.5-7B: 28.6 (#266)

BenchmarkGPT-4.1 miniQwen1.5-7B
LMArena Non-English13181058
LMArena Chinese13291140
LMArena Russian13241006
LMArena French1357—
LMArena German1349—
LMArena Japanese1291—
LMArena Korean1298—
LMArena Spanish1319—

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.9 (#113), Qwen1.5-7B: 54.4 (#276)

BenchmarkGPT-4.1 miniQwen1.5-7B
LMArena Instruction Following13321058
IFEval90.4%—

Long Context Qwen1.5-7B leads

GPT-4.1 mini: 31.8 (#270), Qwen1.5-7B: 33.1 (#261)

BenchmarkGPT-4.1 miniQwen1.5-7B
LMArena Longer Query13441090
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.8 (#193), Qwen1.5-7B: 29.8 (#288)

BenchmarkGPT-4.1 miniQwen1.5-7B
LMArena Text13411084
LMArena Creative Writing13001035
LMArena Multi-Turn13541061
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Qwen1.5-7B?

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 30.8 on the Noometry Index.

Is GPT-4.1 mini or Qwen1.5-7B better for coding?

Qwen1.5-7B scores higher on coding benchmarks: 31.6 versus 30.4 in the Noometry coding category.

How many benchmarks do GPT-4.1 mini and Qwen1.5-7B share?

12 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen1.5-7B has 13.

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