Noometry

Model comparison

GPT-4.5 vs Qwen2.5-Max

Qwen2.5-Max is the stronger model overall, scoring 40.1 to 36.9 on the Noometry Index.

Last verified . 26 shared benchmarks.

GPT-4.5 OpenAI

36.9

Rank #200 Confirmed

Qwen2.5-Max Alibaba (Qwen)

40.1

Rank #142 Confirmed

Summary

  • They share 26 benchmarks with published results for both. GPT-4.5 scores higher in 4 categories and Qwen2.5-Max in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen2.5-Max leads 24.6 to 14.1.
  • The biggest single-benchmark swing is LiveBench Reasoning: 71.1% for GPT-4.5 and 51.4% for Qwen2.5-Max.

Side by side

GPT-4.5Qwen2.5-Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index36.940.1
Released2025-02-272025-01-25
WeightsProprietaryProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked4227

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Category by category

Coding Too close to call

GPT-4.5: 41.8 (#102), Qwen2.5-Max: 41.2 (#118)

BenchmarkGPT-4.5Qwen2.5-Max
LiveBench Coding75.2%64.4%
LMArena Coding13971359
Aider Polyglot44.9%—
WeirdML39.4%—

Agentic & Tool Use Not comparable

GPT-4.5: 27.6 (#92), Qwen2.5-Max: —

BenchmarkGPT-4.5Qwen2.5-Max
Cybench17.5%—

Reasoning Qwen2.5-Max leads

GPT-4.5: 14.1 (#320), Qwen2.5-Max: 24.6 (#144)

BenchmarkGPT-4.5Qwen2.5-Max
LiveBench Reasoning71.1%51.4%
LMArena Hard Prompts14041360
LiveBench Data Analysis64.3%67.9%
Epoch Capabilities Index136.74132.54
LiveBench69%62.3%
ARC-AGI-20.8%—
SimpleBench34.5%—
ARC-AGI-110.3%—
EnigmaEval3.2%—
ForecastBench61.7—

Math Qwen2.5-Max leads

GPT-4.5: 31.0 (#200), Qwen2.5-Max: 34.3 (#162)

BenchmarkGPT-4.5Qwen2.5-Max
LiveBench Math69.3%58.4%
LMArena Math14121369
OTIS Mock AIME 2024-202537.8%—
MATH Level 578.6%—

Knowledge Qwen2.5-Max leads

GPT-4.5: 32.4 (#205), Qwen2.5-Max: 34.8 (#181)

BenchmarkGPT-4.5Qwen2.5-Max
Confabulations13.6%21.8%
LMArena Expert13941337
GPQA Diamond68.7%—
Humanity's Last Exam5.4%—

Multimodal Not comparable

GPT-4.5: 37.0 (#68), Qwen2.5-Max: —

BenchmarkGPT-4.5Qwen2.5-Max
LMArena Vision1195—
VPCT45%—

Multilingual GPT-4.5 leads

GPT-4.5: 52.7 (#78), Qwen2.5-Max: 48.3 (#140)

BenchmarkGPT-4.5Qwen2.5-Max
LMArena Non-English14131352
LMArena Chinese14211382
LMArena French14171396
LMArena German14571350
LMArena Japanese14161299
LMArena Korean13921304
LMArena Russian14191353
LMArena Spanish—1377

Instruction Following GPT-4.5 leads

GPT-4.5: 72.8 (#129), Qwen2.5-Max: 71.5 (#147)

BenchmarkGPT-4.5Qwen2.5-Max
LiveBench Instruction Following72.3%75.3%
LMArena Instruction Following14041335

Long Context Too close to call

GPT-4.5: 40.4 (#150), Qwen2.5-Max: 41.3 (#137)

BenchmarkGPT-4.5Qwen2.5-Max
LMArena Longer Query14061358
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.5 leads

GPT-4.5: 57.1 (#129), Qwen2.5-Max: 55.6 (#141)

BenchmarkGPT-4.5Qwen2.5-Max
LMArena Text14171367
LMArena Creative Writing13941339
Short-Story Creative Writing75.6%72.9%
LMArena Multi-Turn14441364
LiveBench Language61.5%56.3%
EQ-Bench Creative Writing1258—

Frequently asked questions

Is GPT-4.5 better than Qwen2.5-Max?

Qwen2.5-Max is the stronger model overall, scoring 40.1 to 36.9 on the Noometry Index.

Is GPT-4.5 or Qwen2.5-Max better for coding?

They score almost the same on coding (41.8 vs 41.2); test both on your own repository before choosing.

How many benchmarks do GPT-4.5 and Qwen2.5-Max share?

26 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen2.5-Max has 27.

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