Noometry

Model comparison

GPT-4.5 vs Qwen1.5-72B

GPT-4.5 is the stronger model overall, scoring 37.2 to 30.8 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Qwen1.5-72B Alibaba (Qwen)

30.8

Rank #285 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-4.5 scores higher in 6 categories and Qwen1.5-72B in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.5 leads 32.5 to 11.5.
  • The biggest single-benchmark swing is GPQA Diamond: 68.7% for GPT-4.5 and 28.8% for Qwen1.5-72B.
  • Qwen1.5-72B has downloadable open weights; the other is API-only.

Side by side

GPT-4.5Qwen1.5-72B
ProviderOpenAIAlibaba (Qwen)
Noometry Index37.230.8
Released2025-02-272024-02-04
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked4222

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Category by category

Coding GPT-4.5 leads

GPT-4.5: 42.2 (#109), Qwen1.5-72B: 31.9 (#277)

BenchmarkGPT-4.5Qwen1.5-72B
LMArena Coding13961165
Aider Polyglot44.9%—
WeirdML39.4%—
BigCodeBench Instruct—33.2%
LiveBench Coding75.2%—
BigCodeBench Complete—40.3%
HumanEval+—59.1%
MBPP+—61.6%

Agentic & Tool Use Not comparable

GPT-4.5: 27.9 (#97), Qwen1.5-72B: —

BenchmarkGPT-4.5Qwen1.5-72B
Cybench17.5%—

Reasoning Qwen1.5-72B leads

GPT-4.5: 13.9 (#330), Qwen1.5-72B: 22.2 (#203)

BenchmarkGPT-4.5Qwen1.5-72B
LMArena Hard Prompts14031148
ARC-AGI-20.8%—
SimpleBench34.5%—
ARC-AGI-110.3%—
EnigmaEval3.2%—
LiveBench Reasoning71.1%—
LiveBench Data Analysis64.3%—
Epoch Capabilities Index136.74—
ForecastBench61.7—
LiveBench69%—

Math Too close to call

GPT-4.5: 32.6 (#211), Qwen1.5-72B: 33.2 (#205)

BenchmarkGPT-4.5Qwen1.5-72B
LMArena Math14121164
OTIS Mock AIME 2024-202537.8%—
LiveBench Math69.3%—
MATH Level 578.6%—

Knowledge GPT-4.5 leads

GPT-4.5: 32.5 (#211), Qwen1.5-72B: 11.5 (#300)

BenchmarkGPT-4.5Qwen1.5-72B
GPQA Diamond68.7%28.8%
LMArena Expert13941136
Humanity's Last Exam5.4%—
Confabulations13.6%—

Multimodal Not comparable

GPT-4.5: 37.6 (#71), Qwen1.5-72B: —

BenchmarkGPT-4.5Qwen1.5-72B
LMArena Vision1195—
VPCT45%—

Multilingual GPT-4.5 leads

GPT-4.5: 52.5 (#83), Qwen1.5-72B: 33.2 (#253)

BenchmarkGPT-4.5Qwen1.5-72B
LMArena Non-English14131135
LMArena Chinese14211186
LMArena French14181159
LMArena German14571084
LMArena Japanese14161061
LMArena Korean13921050
LMArena Russian14191104
LMArena Spanish—1110

Instruction Following GPT-4.5 leads

GPT-4.5: 72.6 (#134), Qwen1.5-72B: 59.3 (#256)

BenchmarkGPT-4.5Qwen1.5-72B
LMArena Instruction Following14041141
LiveBench Instruction Following72.3%—

Long Context GPT-4.5 leads

GPT-4.5: 40.4 (#155), Qwen1.5-72B: 35.1 (#243)

BenchmarkGPT-4.5Qwen1.5-72B
LMArena Longer Query14061157
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.5 leads

GPT-4.5: 56.9 (#134), Qwen1.5-72B: 37.3 (#258)

BenchmarkGPT-4.5Qwen1.5-72B
LMArena Text14171166
LMArena Creative Writing13941137
LMArena Multi-Turn14441160
Short-Story Creative Writing75.6%—
EQ-Bench Creative Writing1258—
LiveBench Language61.5%—

Frequently asked questions

Is GPT-4.5 better than Qwen1.5-72B?

GPT-4.5 is the stronger model overall, scoring 37.2 to 30.8 on the Noometry Index.

Is GPT-4.5 or Qwen1.5-72B better for coding?

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 31.9 in the Noometry coding category.

How many benchmarks do GPT-4.5 and Qwen1.5-72B share?

17 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen1.5-72B has 22.

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