Noometry

Model comparison

GPT-4.1 mini vs Qwen2.5-Coder (1.5B)

GPT-4.1 mini has enough public results to be ranked (#240); Qwen2.5-Coder (1.5B) 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-Coder (1.5B) Alibaba (Qwen)

—

Unranked

Summary

  • They share 1 benchmark with published results for both.
  • Qwen2.5-Coder (1.5B) has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen2.5-Coder (1.5B)
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.6—
Released2025-04-142024-09-18
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked476

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Category by category

Coding Not comparable

GPT-4.1 mini: 30.6 (#293), Qwen2.5-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
LMArena Coding1367—
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Qwen2.5-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
Berkeley Function Calling Leaderboard50.5%—

Reasoning Not comparable

GPT-4.1 mini: 10.8 (#340), Qwen2.5-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
Epoch Capabilities Index135.01113.14
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
LMArena Hard Prompts1349—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
HellaSwag—76.8%
WinoGrande—72.9%

Math Not comparable

GPT-4.1 mini: 24.1 (#270), Qwen2.5-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
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%—
GSM8K—86.7%

Knowledge Not comparable

GPT-4.1 mini: 34.7 (#194), Qwen2.5-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
LMArena Expert1338—
ARC (AI2) Challenge—60.9%
MMLU—68%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Qwen2.5-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
LMArena Vision1181—

Multilingual Not comparable

GPT-4.1 mini: 45.7 (#166), Qwen2.5-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
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-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
IFEval90.4%—
LMArena Instruction Following1333—

Long Context Not comparable

GPT-4.1 mini: 31.8 (#275), Qwen2.5-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
Fiction.LiveBench44.4%—
LMArena Longer Query1344—

Writing & Preference Not comparable

GPT-4.1 mini: 48.6 (#199), Qwen2.5-Coder (1.5B): —

BenchmarkGPT-4.1 miniQwen2.5-Coder (1.5B)
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-Coder (1.5B)?

GPT-4.1 mini has enough public results to be ranked (#240); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.

How many benchmarks do GPT-4.1 mini and Qwen2.5-Coder (1.5B) share?

1 benchmark has published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.

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