Model comparison

GPT-5 Pro vs Qwen3 32B

GPT-5 Pro is the stronger model overall, scoring 46.2 to 38.8 on the Noometry Index. Qwen3 32B costs 34× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Last verified October 10, 2026. 2 shared benchmarks.

GPT-5 Pro OpenAI

46.2

Rank #58 Confirmed

Qwen3 32B

Alibaba (Qwen)

38.8

Rank #166 Confirmed

Summary

They share 2 benchmarks with published results for both. GPT-5 Pro scores higher in 4 categories and Qwen3 32B in 0 categories; 4 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GPT-5 Pro leads 39.2 to 19.6.
The biggest single-benchmark swing is Kagi LLM Benchmark: 76.8% for GPT-5 Pro and 54.9% for Qwen3 32B.
Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
GPT-5 Pro accepts more context: 400K tokens versus 131K.
Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

GPT-5 Pro and Qwen3 32B specifications
	GPT-5 Pro	Qwen3 32B
Provider	OpenAI	Alibaba (Qwen)
Noometry Index	46.2	38.8
Released	2025-10-06	2025-04
Weights	Proprietary	Open
Context window	400K	131K
Max output	272K	16K
Input $ / M tokens	$15	$0.70
Output $ / M tokens	$120	$2.80
Results tracked	12	26

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Category by category

Coding GPT-5 Pro leads

GPT-5 Pro: 43.4 (#77), Qwen3 32B: 37.3 (#184)

Coding benchmarks
Benchmark	GPT-5 Pro	Qwen3 32B
Aider Polyglot	—	40%
SciCode	—	35.4%
WeirdML	60.4%	—
LMArena Coding	—	1358
AlgoTune	1.31	—

Agentic & Tool Use Not comparable

GPT-5 Pro: —, Qwen3 32B: 32.3 (#58)

Agentic & Tool Use benchmarks
Benchmark	GPT-5 Pro	Qwen3 32B
Berkeley Function Calling Leaderboard	—	48.7%

Reasoning GPT-5 Pro leads

GPT-5 Pro: 39.2 (#52), Qwen3 32B: 19.6 (#233)

Reasoning benchmarks
Benchmark	GPT-5 Pro	Qwen3 32B
Kagi LLM Benchmark	76.8%	54.9%
Epoch Capabilities Index	150.26	138.51
ARC-AGI-2	18.3%	—
SimpleBench	61.6%	—
ARC-AGI-1	70.2%	—
CritPt	—	0.3%
Chess Puzzles	—	5%
EnigmaEval	18.8%	—
LMArena Hard Prompts	—	1335
DTBench	—	67.5%
LMCA	—	17.3%

Math GPT-5 Pro leads

GPT-5 Pro: 48.0 (#53), Qwen3 32B: 37.9 (#89)

Math benchmarks
Benchmark	GPT-5 Pro	Qwen3 32B
FrontierMath (Tiers 1-3)	55.8%	—
FrontierMath Tier 4	19.5%	—
OTIS Mock AIME 2024-2025	—	66.9%
LMArena Math	—	1399
FrontierMath Tier 4 (v1)	14.6%	—

Knowledge GPT-5 Pro leads

GPT-5 Pro: 56.2 (#39), Qwen3 32B: 40.0 (#112)

Knowledge benchmarks
Benchmark	GPT-5 Pro	Qwen3 32B
GPQA Diamond	—	65.7%
Humanity's Last Exam	31.6%	—
Vectara Hallucination Rate	—	5.9%
LMArena Expert	—	1362

Multilingual Not comparable

GPT-5 Pro: —, Qwen3 32B: 45.8 (#162)

Multilingual benchmarks
Benchmark	GPT-5 Pro	Qwen3 32B
LMArena Non-English	—	1317
LMArena Chinese	—	1357
LMArena German	—	1341
LMArena Russian	—	1311

Instruction Following Not comparable

GPT-5 Pro: —, Qwen3 32B: 69.1 (#174)

Instruction Following benchmarks
Benchmark	GPT-5 Pro	Qwen3 32B
LMArena Instruction Following	—	1305

Long Context Not comparable

GPT-5 Pro: —, Qwen3 32B: 43.7 (#83)

Long Context benchmarks
Benchmark	GPT-5 Pro	Qwen3 32B
Fiction.LiveBench	—	74.2%
LMArena Longer Query	—	1327

Writing & Preference Not comparable

GPT-5 Pro: —, Qwen3 32B: 53.1 (#158)

Writing & Preference benchmarks
Benchmark	GPT-5 Pro	Qwen3 32B
LMArena Text	—	1340
LMArena Creative Writing	—	1297
LMArena Multi-Turn	—	1331

Frequently asked questions

Is GPT-5 Pro better than Qwen3 32B?

Which is cheaper, GPT-5 Pro 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 Pro lists at $15 and $120.

Is GPT-5 Pro or Qwen3 32B better for coding?

GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 37.3 in the Noometry coding category.

Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 131K.

How many benchmarks do GPT-5 Pro and Qwen3 32B share?

2 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen3 32B has 26.