Model comparison

GPT-4.5 vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 37.2 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.5 scores higher in 1 category and Qwen3.8 Max in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.2 to 32.6.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 100% for Qwen3.8 Max.

Side by side

GPT-4.5 and Qwen3.8 Max specifications
GPT-4.5Qwen3.8 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index37.256.8
Released2025-02-272026-08-02
WeightsProprietaryProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked4239

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Category by category

Coding Qwen3.8 Max leads

GPT-4.5: 42.2 (#109), Qwen3.8 Max: 53.5 (#29)

Coding benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
LMArena Coding13961502
DeepSWE—57.5%
Aider Polyglot44.9%—
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%
WeirdML39.4%—
LiveBench Coding75.2%—

Agentic & Tool Use Qwen3.8 Max leads

GPT-4.5: 27.9 (#97), Qwen3.8 Max: 45.4 (#14)

Agentic & Tool Use benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
Cybench17.5%—
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

GPT-4.5: 13.9 (#330), Qwen3.8 Max: 54.4 (#26)

Reasoning benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
LMArena Hard Prompts14031496
Epoch Capabilities Index136.74156.41
ARC-AGI-20.8%—
SimpleBench34.5%—
NYT Connections (extended)—88.3%
ARC-AGI-110.3%—
CritPt—20%
Chess Puzzles—40%
EnigmaEval3.2%—
LiveBench Reasoning71.1%—
Mystery Game Puzzles—38%
DTBench—92%
LiveBench Data Analysis64.3%—
LMCA—46.2%
ForecastBench61.7—
LiveBench69%—

Math Qwen3.8 Max leads

GPT-4.5: 32.6 (#211), Qwen3.8 Max: 73.2 (#20)

Math benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
OTIS Mock AIME 2024-202537.8%100%
LMArena Math14121499
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
ProofBench—58%
LiveBench Math69.3%—
MATH Level 578.6%—

Knowledge Qwen3.8 Max leads

GPT-4.5: 32.5 (#211), Qwen3.8 Max: 61.7 (#27)

Knowledge benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
GPQA Diamond68.7%92.7%
LMArena Expert13941507
Humanity's Last Exam5.4%—
SimpleQA Verified—47.3%
Confabulations13.6%—

Multimodal Too close to call

GPT-4.5: 37.6 (#71), Qwen3.8 Max: 37.2 (#75)

Multimodal benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
LMArena Vision11951314
VPCT45%—
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

GPT-4.5: 52.5 (#83), Qwen3.8 Max: 56.7 (#18)

Multilingual benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
LMArena Non-English14131472
LMArena Chinese14211538
LMArena French14181503
LMArena German14571483
LMArena Japanese14161467
LMArena Korean13921461
LMArena Russian14191481
LMArena Spanish—1492

Instruction Following Qwen3.8 Max leads

GPT-4.5: 72.6 (#134), Qwen3.8 Max: 77.6 (#17)

Instruction Following benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
LMArena Instruction Following14041479
LiveBench Instruction Following72.3%—

Long Context Qwen3.8 Max leads

GPT-4.5: 40.4 (#155), Qwen3.8 Max: 45.6 (#31)

Long Context benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
LMArena Longer Query14061489
Fiction.LiveBench63.9%—

Writing & Preference Qwen3.8 Max leads

GPT-4.5: 56.9 (#134), Qwen3.8 Max: 67.1 (#30)

Writing & Preference benchmarks
BenchmarkGPT-4.5Qwen3.8 Max
LMArena Text14171483
LMArena Creative Writing13941479
LMArena Multi-Turn14441489
Short-Story Creative Writing75.6%—
EQ-Bench Creative Writing1258—
LiveBench Language61.5%—

Frequently asked questions

Is GPT-4.5 better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 37.2 on the Noometry Index.

Is GPT-4.5 or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 42.2 in the Noometry coding category.

How many benchmarks do GPT-4.5 and Qwen3.8 Max share?

20 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen3.8 Max has 39.

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