Noometry

Model comparison

GPT-5.3 Chat vs Qwen3 32B

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 39.2 on the Noometry Index. Qwen3 32B costs 3.9× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 13 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GPT-5.3 Chat scores higher in 5 categories and Qwen3 32B in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 52.9.
  • Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Qwen3 32B accepts more context: 131K tokens versus 128K.
  • Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatQwen3 32B
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.839.2
Released2026-03-032025-04
WeightsProprietaryOpen
Context window128K131K
Max output16K16K
Input $ / M tokens$1.75$0.70
Output $ / M tokens$14$2.80
Results tracked1826

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 41.4 (#124), Qwen3 32B: 37.7 (#190)

BenchmarkGPT-5.3 ChatQwen3 32B
LMArena Coding14081358
Aider Polyglot—40%
SciCode—35.4%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Qwen3 32B: 32.6 (#62)

BenchmarkGPT-5.3 ChatQwen3 32B
Berkeley Function Calling Leaderboard—48.7%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), Qwen3 32B: 20.2 (#241)

BenchmarkGPT-5.3 ChatQwen3 32B
LMArena Hard Prompts13991334
Kagi LLM Benchmark—54.9%
CritPt—0.3%
Chess Puzzles—5%
DTBench—67.5%
LMCA—17.3%
Epoch Capabilities Index—138.51

Math Qwen3 32B leads

GPT-5.3 Chat: 38.2 (#142), Qwen3 32B: 39.7 (#99)

BenchmarkGPT-5.3 ChatQwen3 32B
LMArena Math13891399
OTIS Mock AIME 2024-2025—66.9%

Knowledge Qwen3 32B leads

GPT-5.3 Chat: 38.8 (#140), Qwen3 32B: 40.0 (#125)

BenchmarkGPT-5.3 ChatQwen3 32B
LMArena Expert13971362
GPQA Diamond—65.7%
Vectara Hallucination Rate—5.9%

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.3 (#124), Qwen3 32B: 45.6 (#167)

BenchmarkGPT-5.3 ChatQwen3 32B
LMArena Non-English13821317
LMArena Chinese14321357
LMArena German13841341
LMArena Russian14001311
LMArena French1397—
LMArena Japanese1352—
LMArena Korean1346—
LMArena Spanish1371—

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 72.8 (#129), Qwen3 32B: 68.9 (#179)

BenchmarkGPT-5.3 ChatQwen3 32B
LMArena Instruction Following13781305

Long Context Qwen3 32B leads

GPT-5.3 Chat: 42.6 (#120), Qwen3 32B: 43.8 (#87)

BenchmarkGPT-5.3 ChatQwen3 32B
LMArena Longer Query13961327
Fiction.LiveBench—74.2%

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), Qwen3 32B: 52.9 (#163)

BenchmarkGPT-5.3 ChatQwen3 32B
LMArena Text13891340
LMArena Creative Writing13551297
LMArena Multi-Turn14121331
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than Qwen3 32B?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 39.2 on the Noometry Index. Qwen3 32B costs 3.9× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Which is cheaper, GPT-5.3 Chat or Qwen3 32B?

Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Qwen3 32B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 37.7 in the Noometry coding category.

Which has the bigger context window?

Qwen3 32B does, with 131K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Qwen3 32B share?

13 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3 32B has 26.

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