Noometry

Model comparison

GPT-5.3 Chat vs Qwen3.5 35B-A3B

GPT-5.3 Chat and Qwen3.5 35B-A3B score almost the same on the Noometry Index (42.8 vs 42.0), 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 35B-A3B Alibaba (Qwen)

42.0

Rank #123 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 5 categories and Qwen3.5 35B-A3B in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.8 to 38.8.
  • Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Qwen3.5 35B-A3B accepts more context: 262K tokens versus 128K.
  • Qwen3.5 35B-A3B has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatQwen3.5 35B-A3B
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.842.0
Released2026-03-032026-02-01
WeightsProprietaryOpen
Context window128K262K
Max output16K66K
Input $ / M tokens$1.75$0.25
Output $ / M tokens$14$2
Results tracked1828

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 41.4 (#124), Qwen3.5 35B-A3B: 33.8 (#251)

BenchmarkGPT-5.3 ChatQwen3.5 35B-A3B
LMArena Coding14081410
LMArena WebDev—1254
SciCode—29.3%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), Qwen3.5 35B-A3B: 24.6 (#161)

BenchmarkGPT-5.3 ChatQwen3.5 35B-A3B
LMArena Hard Prompts13991400
CritPt—0.6%
Chess Puzzles—10%
DTBench—80%
LMCA—29.5%
Epoch Capabilities Index—142.52

Math Qwen3.5 35B-A3B leads

GPT-5.3 Chat: 38.2 (#142), Qwen3.5 35B-A3B: 39.9 (#97)

BenchmarkGPT-5.3 ChatQwen3.5 35B-A3B
LMArena Math13891404
MathArena Final-Answer Competitions—56%
OTIS Mock AIME 2024-2025—70%

Knowledge Qwen3.5 35B-A3B leads

GPT-5.3 Chat: 38.8 (#140), Qwen3.5 35B-A3B: 47.8 (#79)

BenchmarkGPT-5.3 ChatQwen3.5 35B-A3B
LMArena Expert13971408
GPQA Diamond—83.5%
Vectara Hallucination Rate—10.5%

Multilingual Too close to call

GPT-5.3 Chat: 50.3 (#124), Qwen3.5 35B-A3B: 50.0 (#127)

BenchmarkGPT-5.3 ChatQwen3.5 35B-A3B
LMArena Non-English13821378
LMArena Chinese14321457
LMArena French13971412
LMArena German13841367
LMArena Japanese13521325
LMArena Korean13461356
LMArena Russian14001376
LMArena Spanish13711392

Instruction Following Too close to call

GPT-5.3 Chat: 72.8 (#129), Qwen3.5 35B-A3B: 72.8 (#128)

BenchmarkGPT-5.3 ChatQwen3.5 35B-A3B
LMArena Instruction Following13781379

Long Context Too close to call

GPT-5.3 Chat: 42.6 (#120), Qwen3.5 35B-A3B: 42.4 (#127)

BenchmarkGPT-5.3 ChatQwen3.5 35B-A3B
LMArena Longer Query13961389

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), Qwen3.5 35B-A3B: 57.9 (#124)

BenchmarkGPT-5.3 ChatQwen3.5 35B-A3B
LMArena Text13891395
LMArena Creative Writing13551346
LMArena Multi-Turn14121390
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than Qwen3.5 35B-A3B?

GPT-5.3 Chat and Qwen3.5 35B-A3B score almost the same on the Noometry Index (42.8 vs 42.0), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-5.3 Chat or Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Qwen3.5 35B-A3B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5 35B-A3B does, with 262K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Qwen3.5 35B-A3B share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3.5 35B-A3B has 28.

Related comparisons

Go deeper