Noometry

Model comparison

GPT-5.3 Chat vs Qwen3.6 Plus

Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 42.8 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Qwen3.6 Plus Alibaba (Qwen)

47.5

Rank #62 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 2 categories and Qwen3.6 Plus in 6 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 38.8.
  • Qwen3.6 Plus is cheaper at $0.50 / $3 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Qwen3.6 Plus accepts more context: 1M tokens versus 128K.

Side by side

GPT-5.3 ChatQwen3.6 Plus
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.847.5
Released2026-03-032026-03-31
WeightsProprietaryProprietary
Context window128K1M
Max output16K66K
Input $ / M tokens$1.75$0.50
Output $ / M tokens$14$3
Results tracked1837

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Category by category

Coding Too close to call

GPT-5.3 Chat: 41.4 (#124), Qwen3.6 Plus: 40.8 (#130)

BenchmarkGPT-5.3 ChatQwen3.6 Plus
LMArena Coding14081467
SWE-bench Verified—57.9%
LMArena WebDev—1461
SciCode—40.7%
ALE-Bench—670.15

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Qwen3.6 Plus: —

BenchmarkGPT-5.3 ChatQwen3.6 Plus
Vending-Bench 2—5,115

Reasoning Too close to call

GPT-5.3 Chat: 28.5 (#102), Qwen3.6 Plus: 29.3 (#93)

BenchmarkGPT-5.3 ChatQwen3.6 Plus
LMArena Hard Prompts13991449
NYT Connections (extended)—60.3%
CritPt—2.9%
Chess Puzzles—17%
Thematic Generalization—59.5%
Mystery Game Puzzles—12%
DTBench—81.9%
LMCA—33.1%
Epoch Capabilities Index—147.65

Math Qwen3.6 Plus leads

GPT-5.3 Chat: 38.2 (#142), Qwen3.6 Plus: 51.8 (#54)

BenchmarkGPT-5.3 ChatQwen3.6 Plus
LMArena Math13891450
FrontierMath (Tiers 1-3)—38.2%
OTIS Mock AIME 2024-2025—93.3%
FrontierMath (Feb 2025 set)—26.2%
FrontierMath Tier 4 (v1)—8.3%

Knowledge Qwen3.6 Plus leads

GPT-5.3 Chat: 38.8 (#140), Qwen3.6 Plus: 56.1 (#45)

BenchmarkGPT-5.3 ChatQwen3.6 Plus
LMArena Expert13971454
GPQA Diamond—88.4%
SimpleQA Verified—44.1%

Multilingual Qwen3.6 Plus leads

GPT-5.3 Chat: 50.3 (#124), Qwen3.6 Plus: 53.3 (#70)

BenchmarkGPT-5.3 ChatQwen3.6 Plus
LMArena Non-English13821424
LMArena Chinese14321477
LMArena French13971455
LMArena German13841452
LMArena Japanese13521389
LMArena Korean13461379
LMArena Russian14001434
LMArena Spanish13711432

Instruction Following Qwen3.6 Plus leads

GPT-5.3 Chat: 72.8 (#129), Qwen3.6 Plus: 75.0 (#74)

BenchmarkGPT-5.3 ChatQwen3.6 Plus
LMArena Instruction Following13781425

Long Context Qwen3.6 Plus leads

GPT-5.3 Chat: 42.6 (#120), Qwen3.6 Plus: 45.2 (#49)

BenchmarkGPT-5.3 ChatQwen3.6 Plus
LMArena Longer Query13961439
CL-bench—20.3%

Writing & Preference Too close to call

GPT-5.3 Chat: 63.1 (#68), Qwen3.6 Plus: 62.2 (#82)

BenchmarkGPT-5.3 ChatQwen3.6 Plus
LMArena Text13891437
LMArena Creative Writing13551404
LMArena Multi-Turn14121438
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than Qwen3.6 Plus?

Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 42.8 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Qwen3.6 Plus?

Qwen3.6 Plus is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Qwen3.6 Plus better for coding?

They score almost the same on coding (41.4 vs 40.8); test both on your own repository before choosing.

Which has the bigger context window?

Qwen3.6 Plus does, with 1M tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Qwen3.6 Plus share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3.6 Plus has 37.

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