Noometry

Model comparison

GPT-5 Nano vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 39.2 to 33.5 on the Noometry Index. GPT-5 Nano costs 8.9× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

Last verified . 23 shared benchmarks.

GPT-5 Nano OpenAI

33.5

Rank #241 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GPT-5 Nano scores higher in 1 category and Qwen3 32B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3 32B leads 52.9 to 39.1.
  • The biggest single-benchmark swing is Fiction.LiveBench: 44.4% for GPT-5 Nano and 74.2% for Qwen3 32B.
  • GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
  • GPT-5 Nano accepts more context: 400K tokens versus 131K.
  • Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

GPT-5 NanoQwen3 32B
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.539.2
Released2025-08-072025-04
WeightsProprietaryOpen
Context window400K131K
Max output128K16K
Input $ / M tokens$0.05$0.70
Output $ / M tokens$0.40$2.80
Results tracked4926

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Category by category

Coding Qwen3 32B leads

GPT-5 Nano: 33.6 (#254), Qwen3 32B: 37.7 (#190)

BenchmarkGPT-5 NanoQwen3 32B
LMArena Coding13511358
SWE-bench Verified (bash only)34.8%—
Aider Polyglot—40%
SciCode—35.4%
WeirdML38.1%—
ALE-Bench718.67—

Agentic & Tool Use Qwen3 32B leads

GPT-5 Nano: 25.8 (#106), Qwen3 32B: 32.6 (#62)

BenchmarkGPT-5 NanoQwen3 32B
Berkeley Function Calling Leaderboard51.5%48.7%
Terminal-Bench21.8%—

Reasoning Qwen3 32B leads

GPT-5 Nano: 16.3 (#306), Qwen3 32B: 20.2 (#241)

BenchmarkGPT-5 NanoQwen3 32B
Kagi LLM Benchmark62.2%54.9%
Chess Puzzles27%5%
LMArena Hard Prompts13281334
DTBench62.7%67.5%
LMCA7.9%17.3%
Epoch Capabilities Index139.38138.51
ARC-AGI-22.6%—
ARC-AGI-120.7%—
CritPt—0.3%
Mystery Game Puzzles9%—
ForecastBench59.1—

Math Qwen3 32B leads

GPT-5 Nano: 29.4 (#241), Qwen3 32B: 39.7 (#99)

BenchmarkGPT-5 NanoQwen3 32B
OTIS Mock AIME 2024-202581.1%66.9%
LMArena Math13171399
FrontierMath (Tiers 1-3)20%—
FrontierMath Tier 42.4%—
ProofBench12%—
Omni-MATH54.6%—
MATH Level 595.2%—
FrontierMath (Feb 2025 set)8.3%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge Qwen3 32B leads

GPT-5 Nano: 35.9 (#178), Qwen3 32B: 40.0 (#125)

BenchmarkGPT-5 NanoQwen3 32B
GPQA Diamond69.4%65.7%
Vectara Hallucination Rate10.5%5.9%
LMArena Expert13211362
SimpleQA Verified11.7%—
MMLU-Pro77.8%—
GPQA (HELM)67.9%—

Multimodal Not comparable

GPT-5 Nano: 31.3 (#108), Qwen3 32B: —

BenchmarkGPT-5 NanoQwen3 32B
LMArena Vision1159—
VPCT37.2%—

Multilingual Too close to call

GPT-5 Nano: 45.3 (#172), Qwen3 32B: 45.6 (#167)

BenchmarkGPT-5 NanoQwen3 32B
LMArena Non-English13131317
LMArena Chinese13561357
LMArena German13271341
LMArena Russian12961311
LMArena Japanese1226—
LMArena Korean1269—
LMArena Spanish1360—

Instruction Following GPT-5 Nano leads

GPT-5 Nano: 75.0 (#79), Qwen3 32B: 68.9 (#179)

BenchmarkGPT-5 NanoQwen3 32B
LMArena Instruction Following13061305
IFEval93.2%—

Long Context Qwen3 32B leads

GPT-5 Nano: 31.3 (#281), Qwen3 32B: 43.8 (#87)

BenchmarkGPT-5 NanoQwen3 32B
Fiction.LiveBench44.4%74.2%
LMArena Longer Query13121327

Writing & Preference Qwen3 32B leads

GPT-5 Nano: 39.1 (#249), Qwen3 32B: 52.9 (#163)

BenchmarkGPT-5 NanoQwen3 32B
LMArena Text13201340
LMArena Creative Writing12491297
LMArena Multi-Turn13111331
EQ-Bench Creative Writing705—
WildBench80.6%—

Frequently asked questions

Is GPT-5 Nano better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 39.2 to 33.5 on the Noometry Index. GPT-5 Nano costs 8.9× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

Which is cheaper, GPT-5 Nano or Qwen3 32B?

GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

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

Qwen3 32B scores higher on coding benchmarks: 37.7 versus 33.6 in the Noometry coding category.

Which has the bigger context window?

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

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

23 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Qwen3 32B has 26.

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