Noometry

Model comparison

GPT-4.5 vs Qwen3.5-9B

GPT-4.5 is the stronger model overall, scoring 36.9 to 33.3 on the Noometry Index.

Last verified . 3 shared benchmarks.

GPT-4.5 OpenAI

36.9

Rank #200 Confirmed

Qwen3.5-9B Alibaba (Qwen)

33.3

Rank #235 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GPT-4.5 scores higher in 2 categories and Qwen3.5-9B in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 32.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 61.7% for Qwen3.5-9B.
  • Qwen3.5-9B has downloadable open weights; the other is API-only.

Side by side

GPT-4.5Qwen3.5-9B
ProviderOpenAIAlibaba (Qwen)
Noometry Index36.933.3
Released2025-02-272026-02-23
WeightsProprietaryOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.15
Results tracked4210

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Category by category

Coding GPT-4.5 leads

GPT-4.5: 41.8 (#102), Qwen3.5-9B: 35.3 (#213)

BenchmarkGPT-4.5Qwen3.5-9B
Aider Polyglot44.9%—
SciCode—27.5%
WeirdML39.4%—
LiveBench Coding75.2%—
LMArena Coding1397—

Agentic & Tool Use GPT-4.5 leads

GPT-4.5: 27.6 (#92), Qwen3.5-9B: 14.4 (#143)

BenchmarkGPT-4.5Qwen3.5-9B
Terminal-Bench—9.2%
Cybench17.5%—

Reasoning Qwen3.5-9B leads

GPT-4.5: 14.1 (#320), Qwen3.5-9B: 22.5 (#178)

BenchmarkGPT-4.5Qwen3.5-9B
Epoch Capabilities Index136.74139.45
ARC-AGI-20.8%—
SimpleBench34.5%—
ARC-AGI-110.3%—
CritPt—0.3%
Chess Puzzles—12%
EnigmaEval3.2%—
LiveBench Reasoning71.1%—
LMArena Hard Prompts1404—
DTBench—71.2%
LiveBench Data Analysis64.3%—
LMCA—24.5%
ForecastBench61.7—
LiveBench69%—

Math Qwen3.5-9B leads

GPT-4.5: 31.0 (#200), Qwen3.5-9B: 33.5 (#174)

BenchmarkGPT-4.5Qwen3.5-9B
OTIS Mock AIME 2024-202537.8%61.7%
MathArena Final-Answer Competitions—48.5%
LiveBench Math69.3%—
LMArena Math1412—
MATH Level 578.6%—

Knowledge Qwen3.5-9B leads

GPT-4.5: 32.4 (#205), Qwen3.5-9B: 46.0 (#77)

BenchmarkGPT-4.5Qwen3.5-9B
GPQA Diamond68.7%79%
Humanity's Last Exam5.4%—
Confabulations13.6%—
LMArena Expert1394—

Multimodal Not comparable

GPT-4.5: 37.0 (#68), Qwen3.5-9B: —

BenchmarkGPT-4.5Qwen3.5-9B
LMArena Vision1195—
VPCT45%—

Multilingual Not comparable

GPT-4.5: 52.7 (#78), Qwen3.5-9B: —

BenchmarkGPT-4.5Qwen3.5-9B
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), Qwen3.5-9B: —

BenchmarkGPT-4.5Qwen3.5-9B
LiveBench Instruction Following72.3%—
LMArena Instruction Following1404—

Long Context Not comparable

GPT-4.5: 40.4 (#150), Qwen3.5-9B: —

BenchmarkGPT-4.5Qwen3.5-9B
Fiction.LiveBench63.9%—
LMArena Longer Query1406—

Writing & Preference Not comparable

GPT-4.5: 57.1 (#129), Qwen3.5-9B: —

BenchmarkGPT-4.5Qwen3.5-9B
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 Qwen3.5-9B?

GPT-4.5 is the stronger model overall, scoring 36.9 to 33.3 on the Noometry Index.

Is GPT-4.5 or Qwen3.5-9B better for coding?

GPT-4.5 scores higher on coding benchmarks: 41.8 versus 35.3 in the Noometry coding category.

How many benchmarks do GPT-4.5 and Qwen3.5-9B share?

3 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen3.5-9B has 10.

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