Noometry

Model comparison

GPT-5.3 Chat vs Qwen3.7 Plus

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 42.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Qwen3.7 Plus Alibaba (Qwen)

45.0

Rank #66 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 1 category and Qwen3.7 Plus in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 38.2.
  • Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Qwen3.7 Plus accepts more context: 1M tokens versus 128K.

Side by side

GPT-5.3 ChatQwen3.7 Plus
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.145.0
Released2026-03-032026-06-02
WeightsProprietaryProprietary
Context window128K1M
Max output16K131K
Input $ / M tokens$1.75$0.40
Output $ / M tokens$14$1.60
Results tracked1832

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 40.8 (#124), Qwen3.7 Plus: 36.1 (#200)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
LMArena Coding14081473
FrontierCode—10.2%
SciCode—45.5%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Qwen3.7 Plus: 21.2 (#130)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
OSWorld 2.0—2.8%

Reasoning Qwen3.7 Plus leads

GPT-5.3 Chat: 27.3 (#105), Qwen3.7 Plus: 38.4 (#54)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
LMArena Hard Prompts13991460
NYT Connections (extended)—74.8%
CritPt—9.1%
Chess Puzzles—24%
Mystery Game Puzzles—17%
DTBench—84%
LMCA—37.6%
Epoch Capabilities Index—147.39

Math Qwen3.7 Plus leads

GPT-5.3 Chat: 35.4 (#146), Qwen3.7 Plus: 49.3 (#47)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
LMArena Math13891467
FrontierMath (Tiers 1-3)—34.4%
OTIS Mock AIME 2024-2025—93.3%

Knowledge Qwen3.7 Plus leads

GPT-5.3 Chat: 38.2 (#137), Qwen3.7 Plus: 54.9 (#46)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
LMArena Expert13971467
GPQA Diamond—87.9%

Multimodal Not comparable

GPT-5.3 Chat: —, Qwen3.7 Plus: 41.2 (#30)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
LMArena Vision—1281
LMArena Document—1444

Multilingual Qwen3.7 Plus leads

GPT-5.3 Chat: 50.5 (#119), Qwen3.7 Plus: 55.0 (#36)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
LMArena Non-English13831445
LMArena Chinese14331510
LMArena French13981471
LMArena German13841471
LMArena Japanese13511411
LMArena Korean13471416
LMArena Russian14001457
LMArena Spanish13711453

Instruction Following Qwen3.7 Plus leads

GPT-5.3 Chat: 73.0 (#124), Qwen3.7 Plus: 75.9 (#49)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
LMArena Instruction Following13781439

Long Context Qwen3.7 Plus leads

GPT-5.3 Chat: 42.6 (#115), Qwen3.7 Plus: 44.5 (#61)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
LMArena Longer Query13961454

Writing & Preference Qwen3.7 Plus leads

GPT-5.3 Chat: 63.3 (#65), Qwen3.7 Plus: 64.5 (#54)

BenchmarkGPT-5.3 ChatQwen3.7 Plus
LMArena Text13891454
LMArena Creative Writing13561439
LMArena Multi-Turn14131459
EQ-Bench Creative Writing1690—

Frequently asked questions

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

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 42.1 on the Noometry Index.

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

Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

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

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 36.1 in the Noometry coding category.

Which has the bigger context window?

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

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

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3.7 Plus has 32.

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