Noometry

Model comparison

GPT-4.1 vs Qwen1.5-72B

GPT-4.1 is the stronger model overall, scoring 35.7 to 30.3 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-4.1 OpenAI

35.7

Rank #215 Confirmed

Qwen1.5-72B Alibaba (Qwen)

30.3

Rank #282 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-4.1 scores higher in 6 categories and Qwen1.5-72B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 leads 37.0 to 11.5.
  • The biggest single-benchmark swing is GPQA Diamond: 66.9% for GPT-4.1 and 28.8% for Qwen1.5-72B.
  • Qwen1.5-72B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1Qwen1.5-72B
ProviderOpenAIAlibaba (Qwen)
Noometry Index35.730.3
Released2025-04-142024-02-04
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$2—
Output $ / M tokens$8—
Results tracked5222

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Category by category

Coding GPT-4.1 leads

GPT-4.1: 34.2 (#228), Qwen1.5-72B: 31.4 (#272)

BenchmarkGPT-4.1Qwen1.5-72B
LMArena Coding13911166
SWE-bench Verified48.5%—
SWE-bench Verified (bash only)39.6%—
Aider Polyglot52.4%—
WeirdML39%—
BigCodeBench Instruct—33.2%
BigCodeBench Complete—40.3%
CadEval42%—
ALE-Bench558.1—
HumanEval+—59.1%
MBPP+—61.6%

Agentic & Tool Use Not comparable

GPT-4.1: 34.4 (#40), Qwen1.5-72B: —

BenchmarkGPT-4.1Qwen1.5-72B
Berkeley Function Calling Leaderboard54%—

Reasoning Qwen1.5-72B leads

GPT-4.1: 11.7 (#334), Qwen1.5-72B: 21.2 (#201)

BenchmarkGPT-4.1Qwen1.5-72B
LMArena Hard Prompts13841148
ARC-AGI-20.4%—
SimpleBench27%—
Kagi LLM Benchmark52.3%—
ARC-AGI-15.5%—
Chess Puzzles6%—
EnigmaEval2.2%—
DTBench68.3%—
LMCA25.6%—
Epoch Capabilities Index136.79—
ForecastBench61.5—

Math Qwen1.5-72B leads

GPT-4.1: 21.4 (#269), Qwen1.5-72B: 30.7 (#205)

BenchmarkGPT-4.1Qwen1.5-72B
LMArena Math13691164
FrontierMath (Tiers 1-3)6%—
OTIS Mock AIME 2024-202538.3%—
Omni-MATH47.1%—
MATH Level 583%—
FrontierMath (Feb 2025 set)5.5%—
FrontierMath Tier 4 (v1)0%—

Knowledge GPT-4.1 leads

GPT-4.1: 37.0 (#152), Qwen1.5-72B: 11.5 (#295)

BenchmarkGPT-4.1Qwen1.5-72B
GPQA Diamond66.9%28.8%
LMArena Expert13641136
Humanity's Last Exam5.4%—
SimpleQA Verified31.1%—
MMLU-Pro81.1%—
Vectara Hallucination Rate5.6%—
GPQA (HELM)65.9%—

Multimodal Not comparable

GPT-4.1: 37.5 (#66), Qwen1.5-72B: —

BenchmarkGPT-4.1Qwen1.5-72B
LMArena Vision1210—
GeoBench72%—

Multilingual GPT-4.1 leads

GPT-4.1: 49.6 (#128), Qwen1.5-72B: 33.4 (#248)

BenchmarkGPT-4.1Qwen1.5-72B
LMArena Non-English13701135
LMArena Chinese13821186
LMArena French13831158
LMArena German13801084
LMArena Japanese13201061
LMArena Korean13391049
LMArena Russian13771104
LMArena Spanish13751110

Instruction Following GPT-4.1 leads

GPT-4.1: 71.5 (#148), Qwen1.5-72B: 59.6 (#251)

BenchmarkGPT-4.1Qwen1.5-72B
LMArena Instruction Following13671142
IFEval83.8%—

Long Context GPT-4.1 leads

GPT-4.1: 40.0 (#158), Qwen1.5-72B: 35.0 (#238)

BenchmarkGPT-4.1Qwen1.5-72B
LMArena Longer Query13851157
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.1 leads

GPT-4.1: 57.8 (#120), Qwen1.5-72B: 37.4 (#253)

BenchmarkGPT-4.1Qwen1.5-72B
LMArena Text13831166
LMArena Creative Writing13631137
LMArena Multi-Turn13981160
EQ-Bench Creative Writing1420—
WildBench85.4%—

Frequently asked questions

Is GPT-4.1 better than Qwen1.5-72B?

GPT-4.1 is the stronger model overall, scoring 35.7 to 30.3 on the Noometry Index.

Is GPT-4.1 or Qwen1.5-72B better for coding?

GPT-4.1 scores higher on coding benchmarks: 34.2 versus 31.4 in the Noometry coding category.

How many benchmarks do GPT-4.1 and Qwen1.5-72B share?

18 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Qwen1.5-72B has 22.

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