Noometry

Model comparison

GPT-5.3 Chat vs Qwen3.7 Max

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 42.8 on the Noometry Index.

Last verified . 12 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-5.3 Chat scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.7 Max leads 62.4 to 38.2.
  • Qwen3.7 Max is cheaper at $2.50 / $7.50 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Qwen3.7 Max accepts more context: 1M tokens versus 128K.

Side by side

GPT-5.3 ChatQwen3.7 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.851.5
Released2026-03-032026-05-19
WeightsProprietaryProprietary
Context window128K1M
Max output16K131K
Input $ / M tokens$1.75$2.50
Output $ / M tokens$14$7.50
Results tracked1833

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Category by category

Coding Qwen3.7 Max leads

GPT-5.3 Chat: 41.4 (#124), Qwen3.7 Max: 50.4 (#45)

BenchmarkGPT-5.3 ChatQwen3.7 Max
LMArena Coding14081498
SWE-bench Verified—77.3%
LMArena WebDev—1515
SciCode—48.8%
ALE-Bench—1,189

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Qwen3.7 Max: 22.1 (#135)

BenchmarkGPT-5.3 ChatQwen3.7 Max
GBAEval—0.4%

Reasoning Qwen3.7 Max leads

GPT-5.3 Chat: 28.5 (#102), Qwen3.7 Max: 49.2 (#38)

BenchmarkGPT-5.3 ChatQwen3.7 Max
LMArena Hard Prompts13991483
SimpleBench—70.4%
NYT Connections (extended)—85.1%
CritPt—13.4%
Chess Puzzles—19%
EBR-Bench—9.5%
Mystery Game Puzzles—32%
DTBench—92.3%
LMCA—44%
Epoch Capabilities Index—153.68

Math Qwen3.7 Max leads

GPT-5.3 Chat: 38.2 (#142), Qwen3.7 Max: 62.4 (#32)

BenchmarkGPT-5.3 ChatQwen3.7 Max
LMArena Math13891490
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
OTIS Mock AIME 2024-2025—95.6%
ProofBench—26%

Knowledge Qwen3.7 Max leads

GPT-5.3 Chat: 38.8 (#140), Qwen3.7 Max: 61.6 (#28)

BenchmarkGPT-5.3 ChatQwen3.7 Max
LMArena Expert13971488
GPQA Diamond—90.9%
SimpleQA Verified—55.8%

Multilingual Qwen3.7 Max leads

GPT-5.3 Chat: 50.3 (#124), Qwen3.7 Max: 56.9 (#15)

BenchmarkGPT-5.3 ChatQwen3.7 Max
LMArena Non-English13821474
LMArena Chinese14321530
LMArena Russian14001484
LMArena French1397—
LMArena German1384—
LMArena Japanese1352—
LMArena Korean1346—
LMArena Spanish1371—

Instruction Following Qwen3.7 Max leads

GPT-5.3 Chat: 72.8 (#129), Qwen3.7 Max: 76.7 (#38)

BenchmarkGPT-5.3 ChatQwen3.7 Max
LMArena Instruction Following13781460

Long Context Qwen3.7 Max leads

GPT-5.3 Chat: 42.6 (#120), Qwen3.7 Max: 45.4 (#40)

BenchmarkGPT-5.3 ChatQwen3.7 Max
LMArena Longer Query13961482

Writing & Preference Qwen3.7 Max leads

GPT-5.3 Chat: 63.1 (#68), Qwen3.7 Max: 65.0 (#54)

BenchmarkGPT-5.3 ChatQwen3.7 Max
LMArena Text13891476
LMArena Creative Writing13551449
LMArena Multi-Turn14121481
EQ-Bench Creative Writing1690—
EQ-Bench 4—1110

Frequently asked questions

Is GPT-5.3 Chat better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 42.8 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Qwen3.7 Max?

Qwen3.7 Max is cheaper. It lists at $2.50 per million input tokens and $7.50 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

Qwen3.7 Max does, with 1M tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Qwen3.7 Max share?

12 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3.7 Max has 33.

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