Noometry

Model comparison

GPT-5.4 mini vs Qwen1.5-32B

GPT-5.4 mini is the stronger model overall, scoring 44.8 to 30.0 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-5.4 mini OpenAI

44.8

Rank #69 Confirmed

Qwen1.5-32B Alibaba (Qwen)

30.0

Rank #288 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-5.4 mini scores higher in 8 categories and Qwen1.5-32B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5.4 mini leads 51.4 to 13.5.
  • The biggest single-benchmark swing is GPQA Diamond: 86.9% for GPT-5.4 mini and 30.7% for Qwen1.5-32B.
  • Qwen1.5-32B has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 miniQwen1.5-32B
ProviderOpenAIAlibaba (Qwen)
Noometry Index44.830.0
Released2026-03-172024-02-04
WeightsProprietaryOpen
Context window400K—
Max output128K—
Input $ / M tokens$0.75—
Output $ / M tokens$4.50—
Results tracked4621

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Category by category

Coding GPT-5.4 mini leads

GPT-5.4 mini: 45.0 (#67), Qwen1.5-32B: 31.1 (#278)

BenchmarkGPT-5.4 miniQwen1.5-32B
LMArena Coding14381155
FrontierCode27%—
LMArena WebDev1397—
SciCode49.9%—
WeirdML60.3%—
BigCodeBench Instruct—32.3%
BigCodeBench Complete—42%
ALE-Bench1,189—

Agentic & Tool Use Not comparable

GPT-5.4 mini: 29.6 (#74), Qwen1.5-32B: —

BenchmarkGPT-5.4 miniQwen1.5-32B
DeepResearch Bench36.3%—

Reasoning GPT-5.4 mini leads

GPT-5.4 mini: 30.3 (#77), Qwen1.5-32B: 20.9 (#210)

BenchmarkGPT-5.4 miniQwen1.5-32B
LMArena Hard Prompts14241131
ARC-AGI-218.9%—
Kagi LLM Benchmark37.9%—
NYT Connections (extended)61.8%—
ARC-AGI-163.7%—
CritPt10%—
Chess Puzzles24%—
Thematic Generalization61.7%—
Mystery Game Puzzles11%—
DTBench80%—
LMCA40.8%—
Epoch Capabilities Index148.83—
ForecastBench57—

Math GPT-5.4 mini leads

GPT-5.4 mini: 45.4 (#63), Qwen1.5-32B: 30.5 (#207)

BenchmarkGPT-5.4 miniQwen1.5-32B
LMArena Math14181155
FrontierMath (Tiers 1-3)51.2%—
FrontierMath Tier 49.8%—
OTIS Mock AIME 2024-202588.9%—
ProofBench21%—
FrontierMath (Feb 2025 set)28.3%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GPT-5.4 mini leads

GPT-5.4 mini: 51.4 (#62), Qwen1.5-32B: 13.5 (#291)

BenchmarkGPT-5.4 miniQwen1.5-32B
GPQA Diamond86.9%30.7%
LMArena Expert14341126
SimpleQA Verified29.4%—
Vectara Hallucination Rate5.5%—
MMLU—74.4%

Multimodal Not comparable

GPT-5.4 mini: 39.0 (#51), Qwen1.5-32B: —

BenchmarkGPT-5.4 miniQwen1.5-32B
LMArena Vision1245—

Multilingual GPT-5.4 mini leads

GPT-5.4 mini: 52.1 (#94), Qwen1.5-32B: 31.6 (#254)

BenchmarkGPT-5.4 miniQwen1.5-32B
LMArena Non-English14051106
LMArena Chinese14461176
LMArena French14401100
LMArena German14071058
LMArena Japanese13751027
LMArena Korean13691007
LMArena Russian14171073
LMArena Spanish14031089

Instruction Following GPT-5.4 mini leads

GPT-5.4 mini: 74.3 (#99), Qwen1.5-32B: 58.0 (#260)

BenchmarkGPT-5.4 miniQwen1.5-32B
LMArena Instruction Following14051116

Long Context GPT-5.4 mini leads

GPT-5.4 mini: 42.9 (#107), Qwen1.5-32B: 34.7 (#241)

BenchmarkGPT-5.4 miniQwen1.5-32B
LMArena Longer Query14071146

Writing & Preference GPT-5.4 mini leads

GPT-5.4 mini: 64.2 (#56), Qwen1.5-32B: 34.4 (#266)

BenchmarkGPT-5.4 miniQwen1.5-32B
LMArena Text14111137
LMArena Creative Writing13701083
LMArena Multi-Turn14291140
EQ-Bench Creative Writing1665—

Frequently asked questions

Is GPT-5.4 mini better than Qwen1.5-32B?

GPT-5.4 mini is the stronger model overall, scoring 44.8 to 30.0 on the Noometry Index.

Is GPT-5.4 mini or Qwen1.5-32B better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.0 versus 31.1 in the Noometry coding category.

How many benchmarks do GPT-5.4 mini and Qwen1.5-32B share?

18 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Qwen1.5-32B has 21.

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