Noometry

Model comparison

GPT-5.4 mini vs Qwen1.5-7B

GPT-5.4 mini is the stronger model overall, scoring 45.0 to 31.4 on the Noometry Index.

Last verified . 12 shared benchmarks.

GPT-5.4 mini OpenAI

45.0

Rank #76 Confirmed

Qwen1.5-7B Alibaba (Qwen)

31.4

Rank #273 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-5.4 mini scores higher in 8 categories and Qwen1.5-7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.4 mini leads 64.0 to 29.6.
  • Qwen1.5-7B has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 miniQwen1.5-7B
ProviderOpenAIAlibaba (Qwen)
Noometry Index45.031.4
Released2026-03-172024-02-04
WeightsProprietaryOpen
Context window400K—
Max output128K—
Input $ / M tokens$0.75—
Output $ / M tokens$4.50—
Results tracked4613

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Category by category

Coding GPT-5.4 mini leads

GPT-5.4 mini: 45.2 (#72), Qwen1.5-7B: 32.2 (#276)

BenchmarkGPT-5.4 miniQwen1.5-7B
LMArena Coding14381107
FrontierCode27%—
LMArena WebDev1397—
SciCode49.9%—
WeirdML60.3%—
ALE-Bench1,189—

Agentic & Tool Use Not comparable

GPT-5.4 mini: 29.9 (#81), Qwen1.5-7B: —

BenchmarkGPT-5.4 miniQwen1.5-7B
DeepResearch Bench36.3%—

Reasoning GPT-5.4 mini leads

GPT-5.4 mini: 30.4 (#85), Qwen1.5-7B: 20.4 (#240)

BenchmarkGPT-5.4 miniQwen1.5-7B
LMArena Hard Prompts14241065
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 Index148.84—
ForecastBench57—

Math GPT-5.4 mini leads

GPT-5.4 mini: 45.5 (#75), Qwen1.5-7B: 31.4 (#224)

BenchmarkGPT-5.4 miniQwen1.5-7B
LMArena Math14191080
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: 51.5 (#67), Qwen1.5-7B: 28.7 (#243)

BenchmarkGPT-5.4 miniQwen1.5-7B
LMArena Expert14351055
GPQA Diamond86.9%—
SimpleQA Verified29.4%—
Vectara Hallucination Rate5.5%—
MMLU—62.6%

Multimodal Not comparable

GPT-5.4 mini: 39.7 (#56), Qwen1.5-7B: —

BenchmarkGPT-5.4 miniQwen1.5-7B
LMArena Vision1245—

Multilingual GPT-5.4 mini leads

GPT-5.4 mini: 51.9 (#96), Qwen1.5-7B: 28.5 (#271)

BenchmarkGPT-5.4 miniQwen1.5-7B
LMArena Non-English14051058
LMArena Chinese14461141
LMArena Russian14171006
LMArena French1440—
LMArena German1409—
LMArena Japanese1374—
LMArena Korean1368—
LMArena Spanish1405—

Instruction Following GPT-5.4 mini leads

GPT-5.4 mini: 74.1 (#102), Qwen1.5-7B: 54.1 (#281)

BenchmarkGPT-5.4 miniQwen1.5-7B
LMArena Instruction Following14051058

Long Context GPT-5.4 mini leads

GPT-5.4 mini: 43.0 (#112), Qwen1.5-7B: 33.1 (#266)

BenchmarkGPT-5.4 miniQwen1.5-7B
LMArena Longer Query14071090

Writing & Preference GPT-5.4 mini leads

GPT-5.4 mini: 64.0 (#58), Qwen1.5-7B: 29.6 (#293)

BenchmarkGPT-5.4 miniQwen1.5-7B
LMArena Text14121083
LMArena Creative Writing13701035
LMArena Multi-Turn14291062
EQ-Bench Creative Writing1665—

Frequently asked questions

Is GPT-5.4 mini better than Qwen1.5-7B?

GPT-5.4 mini is the stronger model overall, scoring 45.0 to 31.4 on the Noometry Index.

Is GPT-5.4 mini or Qwen1.5-7B better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 32.2 in the Noometry coding category.

How many benchmarks do GPT-5.4 mini and Qwen1.5-7B share?

12 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Qwen1.5-7B has 13.

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