Noometry

Model comparison

GPT-5.3 Chat vs Qwen3.5 122B-A10B

GPT-5.3 Chat and Qwen3.5 122B-A10B score almost the same on the Noometry Index (42.8 vs 42.1), so choose on price, context window or the category you care about most.

Last verified . 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Qwen3.5 122B-A10B Alibaba (Qwen)

42.1

Rank #119 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 4 categories and Qwen3.5 122B-A10B in 4 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 60.0.
  • Qwen3.5 122B-A10B is cheaper at $0.40 / $3.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Qwen3.5 122B-A10B accepts more context: 262K tokens versus 128K.
  • Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatQwen3.5 122B-A10B
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.842.1
Released2026-03-032026-02-23
WeightsProprietaryOpen
Context window128K262K
Max output16K66K
Input $ / M tokens$1.75$0.40
Output $ / M tokens$14$3.20
Results tracked1827

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 41.4 (#124), Qwen3.5 122B-A10B: 39.1 (#162)

BenchmarkGPT-5.3 ChatQwen3.5 122B-A10B
LMArena Coding14081436
LMArena WebDev—1360
SciCode—35.6%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), Qwen3.5 122B-A10B: 27.2 (#123)

BenchmarkGPT-5.3 ChatQwen3.5 122B-A10B
LMArena Hard Prompts13991421
NYT Connections (extended)—51.7%
CritPt—0.9%
Thematic Generalization—51.2%
Mystery Game Puzzles—17%
DTBench—84.3%
LMCA—32.2%

Math Too close to call

GPT-5.3 Chat: 38.2 (#142), Qwen3.5 122B-A10B: 39.1 (#112)

BenchmarkGPT-5.3 ChatQwen3.5 122B-A10B
LMArena Math13891432

Knowledge Too close to call

GPT-5.3 Chat: 38.8 (#140), Qwen3.5 122B-A10B: 38.8 (#142)

BenchmarkGPT-5.3 ChatQwen3.5 122B-A10B
LMArena Expert13971432
Vectara Hallucination Rate—11.2%

Multimodal Not comparable

GPT-5.3 Chat: —, Qwen3.5 122B-A10B: 39.6 (#57)

BenchmarkGPT-5.3 ChatQwen3.5 122B-A10B
LMArena Vision—1245

Multilingual Qwen3.5 122B-A10B leads

GPT-5.3 Chat: 50.3 (#124), Qwen3.5 122B-A10B: 51.6 (#107)

BenchmarkGPT-5.3 ChatQwen3.5 122B-A10B
LMArena Non-English13821400
LMArena Chinese14321462
LMArena French13971442
LMArena German13841426
LMArena Japanese13521367
LMArena Korean13461352
LMArena Russian14001400
LMArena Spanish13711424

Instruction Following Qwen3.5 122B-A10B leads

GPT-5.3 Chat: 72.8 (#129), Qwen3.5 122B-A10B: 73.8 (#115)

BenchmarkGPT-5.3 ChatQwen3.5 122B-A10B
LMArena Instruction Following13781399

Long Context Too close to call

GPT-5.3 Chat: 42.6 (#120), Qwen3.5 122B-A10B: 43.0 (#109)

BenchmarkGPT-5.3 ChatQwen3.5 122B-A10B
LMArena Longer Query13961410

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), Qwen3.5 122B-A10B: 60.0 (#105)

BenchmarkGPT-5.3 ChatQwen3.5 122B-A10B
LMArena Text13891417
LMArena Creative Writing13551368
LMArena Multi-Turn14121416
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than Qwen3.5 122B-A10B?

GPT-5.3 Chat and Qwen3.5 122B-A10B score almost the same on the Noometry Index (42.8 vs 42.1), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-5.3 Chat or Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is cheaper. It lists at $0.40 per million input tokens and $3.20 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Qwen3.5 122B-A10B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 39.1 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5 122B-A10B does, with 262K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Qwen3.5 122B-A10B share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3.5 122B-A10B has 27.

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