Noometry

Model comparison

GPT-5.3 Chat vs Qwen3 Max

Qwen3 Max is the stronger model overall, scoring 43.5 to 42.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Qwen3 Max Alibaba (Qwen)

43.5

Rank #82 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 3 categories and Qwen3 Max in 5 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 38.2.
  • Qwen3 Max is cheaper at $1.20 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Qwen3 Max accepts more context: 262K tokens versus 128K.

Side by side

GPT-5.3 ChatQwen3 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.143.5
Released2026-03-032025-09-23
WeightsProprietaryProprietary
Context window128K262K
Max output16K66K
Input $ / M tokens$1.75$1.20
Output $ / M tokens$14$6
Results tracked1833

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Category by category

Coding Qwen3 Max leads

GPT-5.3 Chat: 40.8 (#124), Qwen3 Max: 42.4 (#93)

BenchmarkGPT-5.3 ChatQwen3 Max
LMArena Coding14081456
ALE-Bench—370.45

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Qwen3 Max: —

BenchmarkGPT-5.3 ChatQwen3 Max
Vending-Bench 2—71.56

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 27.3 (#105), Qwen3 Max: 22.0 (#186)

BenchmarkGPT-5.3 ChatQwen3 Max
LMArena Hard Prompts13991448
Kagi LLM Benchmark—72.5%
NYT Connections (extended)—30.1%
Chess Puzzles—4%
Mystery Game Puzzles—5%
DTBench—82.1%
LMCA—28.3%
Epoch Capabilities Index—142.41

Math Qwen3 Max leads

GPT-5.3 Chat: 35.4 (#146), Qwen3 Max: 37.6 (#94)

BenchmarkGPT-5.3 ChatQwen3 Max
LMArena Math13891447
FrontierMath (Tiers 1-3)—18.9%
OTIS Mock AIME 2024-2025—73.3%
MATH Level 5—97.1%

Knowledge Qwen3 Max leads

GPT-5.3 Chat: 38.2 (#137), Qwen3 Max: 48.1 (#72)

BenchmarkGPT-5.3 ChatQwen3 Max
LMArena Expert13971457
GPQA Diamond—72.6%
SimpleQA Verified—48.7%

Multilingual Qwen3 Max leads

GPT-5.3 Chat: 50.5 (#119), Qwen3 Max: 53.9 (#58)

BenchmarkGPT-5.3 ChatQwen3 Max
LMArena Non-English13831429
LMArena Chinese14331479
LMArena French13981450
LMArena German13841463
LMArena Japanese13511399
LMArena Korean13471397
LMArena Russian14001428
LMArena Spanish13711463

Instruction Following Qwen3 Max leads

GPT-5.3 Chat: 73.0 (#124), Qwen3 Max: 75.0 (#81)

BenchmarkGPT-5.3 ChatQwen3 Max
LMArena Instruction Following13781420

Long Context Too close to call

GPT-5.3 Chat: 42.6 (#115), Qwen3 Max: 41.6 (#129)

BenchmarkGPT-5.3 ChatQwen3 Max
LMArena Longer Query13961439
Fiction.LiveBench—66.7%
CL-bench—14.5%

Writing & Preference Too close to call

GPT-5.3 Chat: 63.3 (#65), Qwen3 Max: 62.6 (#72)

BenchmarkGPT-5.3 ChatQwen3 Max
LMArena Text13891439
LMArena Creative Writing13561401
LMArena Multi-Turn14131446
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than Qwen3 Max?

Qwen3 Max is the stronger model overall, scoring 43.5 to 42.1 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Qwen3 Max?

Qwen3 Max is cheaper. It lists at $1.20 per million input tokens and $6 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Qwen3 Max better for coding?

Qwen3 Max scores higher on coding benchmarks: 42.4 versus 40.8 in the Noometry coding category.

Which has the bigger context window?

Qwen3 Max does, with 262K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Qwen3 Max share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3 Max has 33.

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