Noometry

Model comparison

GPT-4.5 vs Qwen2.5 32B Instruct

GPT-4.5 is the stronger model overall, scoring 36.9 to 29.7 on the Noometry Index.

Last verified . 4 shared benchmarks.

GPT-4.5 OpenAI

36.9

Rank #200 Confirmed

Qwen2.5 32B Instruct Alibaba (Qwen)

29.7

Rank #291 Confirmed

Summary

  • They share 4 benchmarks with published results for both. GPT-4.5 scores higher in 3 categories and Qwen2.5 32B Instruct in 1 category; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-4.5 leads 31.0 to 15.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 7.4% for Qwen2.5 32B Instruct.
  • Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-4.5Qwen2.5 32B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index36.929.7
Released2025-02-272024-09
WeightsProprietaryOpen
Context window—131K
Max output—8K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked427

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Category by category

Coding GPT-4.5 leads

GPT-4.5: 41.8 (#102), Qwen2.5 32B Instruct: 38.1 (#165)

BenchmarkGPT-4.5Qwen2.5 32B Instruct
Aider Polyglot44.9%—
WeirdML39.4%—
BigCodeBench Instruct—45%
LiveBench Coding75.2%—
LMArena Coding1397—
BigCodeBench Complete—52.3%

Agentic & Tool Use Not comparable

GPT-4.5: 27.6 (#92), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.5Qwen2.5 32B Instruct
Cybench17.5%—

Reasoning Qwen2.5 32B Instruct leads

GPT-4.5: 14.1 (#320), Qwen2.5 32B Instruct: 18.5 (#262)

BenchmarkGPT-4.5Qwen2.5 32B Instruct
Epoch Capabilities Index136.74128.52
ARC-AGI-20.8%—
SimpleBench34.5%—
ARC-AGI-110.3%—
Chess Puzzles—0%
EnigmaEval3.2%—
LiveBench Reasoning71.1%—
LMArena Hard Prompts1404—
LiveBench Data Analysis64.3%—
ForecastBench61.7—
LiveBench69%—

Math GPT-4.5 leads

GPT-4.5: 31.0 (#200), Qwen2.5 32B Instruct: 15.3 (#289)

BenchmarkGPT-4.5Qwen2.5 32B Instruct
OTIS Mock AIME 2024-202537.8%7.4%
MATH Level 578.6%56.1%
LiveBench Math69.3%—
LMArena Math1412—

Knowledge GPT-4.5 leads

GPT-4.5: 32.4 (#205), Qwen2.5 32B Instruct: 24.9 (#259)

BenchmarkGPT-4.5Qwen2.5 32B Instruct
GPQA Diamond68.7%46.1%
Humanity's Last Exam5.4%—
Confabulations13.6%—
LMArena Expert1394—

Multimodal Not comparable

GPT-4.5: 37.0 (#68), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.5Qwen2.5 32B Instruct
LMArena Vision1195—
VPCT45%—

Multilingual Not comparable

GPT-4.5: 52.7 (#78), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.5Qwen2.5 32B Instruct
LMArena Non-English1413—
LMArena Chinese1421—
LMArena French1417—
LMArena German1457—
LMArena Japanese1416—
LMArena Korean1392—
LMArena Russian1419—

Instruction Following Not comparable

GPT-4.5: 72.8 (#129), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.5Qwen2.5 32B Instruct
LiveBench Instruction Following72.3%—
LMArena Instruction Following1404—

Long Context Not comparable

GPT-4.5: 40.4 (#150), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.5Qwen2.5 32B Instruct
Fiction.LiveBench63.9%—
LMArena Longer Query1406—

Writing & Preference Not comparable

GPT-4.5: 57.1 (#129), Qwen2.5 32B Instruct: —

BenchmarkGPT-4.5Qwen2.5 32B Instruct
LMArena Text1417—
LMArena Creative Writing1394—
Short-Story Creative Writing75.6%—
EQ-Bench Creative Writing1258—
LMArena Multi-Turn1444—
LiveBench Language61.5%—

Frequently asked questions

Is GPT-4.5 better than Qwen2.5 32B Instruct?

GPT-4.5 is the stronger model overall, scoring 36.9 to 29.7 on the Noometry Index.

Is GPT-4.5 or Qwen2.5 32B Instruct better for coding?

GPT-4.5 scores higher on coding benchmarks: 41.8 versus 38.1 in the Noometry coding category.

How many benchmarks do GPT-4.5 and Qwen2.5 32B Instruct share?

4 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen2.5 32B Instruct has 7.

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