Model comparison

GPT-5.3 Chat vs Qwen Max

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 34.7 on the Noometry Index. Qwen Max costs 1.7× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Qwen Max Alibaba (Qwen)

34.7

Rank #230 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Qwen Max in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.3 Chat leads 38.2 to 22.3.
  • Qwen Max is cheaper at $1.60 / $6.40 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • GPT-5.3 Chat accepts more context: 128K tokens versus 33K.

Side by side

GPT-5.3 Chat and Qwen Max specifications
GPT-5.3 ChatQwen Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.834.7
Released2026-03-032024-04-03
WeightsProprietaryProprietary
Context window128K33K
Max output16K8K
Input $ / M tokens$1.75$1.60
Output $ / M tokens$14$6.40
Results tracked1823

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 41.4 (#124), Qwen Max: 30.7 (#292)

Coding benchmarks
BenchmarkGPT-5.3 ChatQwen Max
LMArena Coding14081288
Aider Polyglot—21.8%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), Qwen Max: 25.1 (#151)

Reasoning benchmarks
BenchmarkGPT-5.3 ChatQwen Max
LMArena Hard Prompts13991269

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#142), Qwen Max: 22.3 (#276)

Math benchmarks
BenchmarkGPT-5.3 ChatQwen Max
LMArena Math13891275
OTIS Mock AIME 2024-2025—16.1%
MATH Level 5—67.2%
FrontierMath (Feb 2025 set)—1%

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.8 (#140), Qwen Max: 30.3 (#228)

Knowledge benchmarks
BenchmarkGPT-5.3 ChatQwen Max
LMArena Expert13971248
GPQA Diamond—56.1%

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.3 (#124), Qwen Max: 41.8 (#202)

Multilingual benchmarks
BenchmarkGPT-5.3 ChatQwen Max
LMArena Non-English13821263
LMArena Chinese14321254
LMArena French13971330
LMArena German13841254
LMArena Japanese13521205
LMArena Korean13461142
LMArena Russian14001274
LMArena Spanish13711290

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 72.8 (#129), Qwen Max: 66.5 (#208)

Instruction Following benchmarks
BenchmarkGPT-5.3 ChatQwen Max
LMArena Instruction Following13781262

Long Context GPT-5.3 Chat leads

GPT-5.3 Chat: 42.6 (#120), Qwen Max: 39.4 (#180)

Long Context benchmarks
BenchmarkGPT-5.3 ChatQwen Max
LMArena Longer Query13961288
Fiction.LiveBench—66.7%

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), Qwen Max: 47.8 (#205)

Writing & Preference benchmarks
BenchmarkGPT-5.3 ChatQwen Max
LMArena Text13891282
LMArena Creative Writing13551248
LMArena Multi-Turn14121277
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than Qwen Max?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 34.7 on the Noometry Index. Qwen Max costs 1.7× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

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

Qwen Max is cheaper. It lists at $1.60 per million input tokens and $6.40 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

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

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 30.7 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Chat does, with 128K tokens against 33K.

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

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen Max has 23.

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