Noometry

Model comparison

GPT-5.5 Pro vs Qwen3 32B

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 39.2 on the Noometry Index. Qwen3 32B costs 55× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified . 7 shared benchmarks.

GPT-5.5 Pro OpenAI

64.3

Rank #8 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 7 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Qwen3 32B in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 20.2.
  • The biggest single-benchmark swing is Chess Puzzles: 64% for GPT-5.5 Pro and 5% for Qwen3 32B.
  • Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
  • GPT-5.5 Pro accepts more context: 1.05M tokens versus 131K.
  • Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 ProQwen3 32B
ProviderOpenAIAlibaba (Qwen)
Noometry Index64.339.2
Released2026-04-232025-04
WeightsProprietaryOpen
Context window1.05M131K
Max output128K16K
Input $ / M tokens$30$0.70
Output $ / M tokens$180$2.80
Results tracked1426

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Category by category

Coding Not comparable

GPT-5.5 Pro: —, Qwen3 32B: 37.7 (#190)

BenchmarkGPT-5.5 ProQwen3 32B
Aider Polyglot—40%
SciCode—35.4%
LMArena Coding—1358

Agentic & Tool Use Not comparable

GPT-5.5 Pro: —, Qwen3 32B: 32.6 (#62)

BenchmarkGPT-5.5 ProQwen3 32B
Berkeley Function Calling Leaderboard—48.7%

Reasoning GPT-5.5 Pro leads

GPT-5.5 Pro: 73.3 (#10), Qwen3 32B: 20.2 (#241)

BenchmarkGPT-5.5 ProQwen3 32B
CritPt30.6%0.3%
Chess Puzzles64%5%
DTBench96%67.5%
LMCA53.9%17.3%
Epoch Capabilities Index162.07138.51
ARC-AGI-284.6%—
SimpleBench76.9%—
Kagi LLM Benchmark—54.9%
ARC-AGI-196.5%—
LMArena Hard Prompts—1334

Math GPT-5.5 Pro leads

GPT-5.5 Pro: 84.0 (#10), Qwen3 32B: 39.7 (#99)

BenchmarkGPT-5.5 ProQwen3 32B
OTIS Mock AIME 2024-2025100%66.9%
FrontierMath (Tiers 1-3)87.7%—
FrontierMath Tier 478%—
LMArena Math—1399
FrontierMath (Feb 2025 set)52.4%—
FrontierMath Tier 4 (v1)39.6%—

Knowledge GPT-5.5 Pro leads

GPT-5.5 Pro: 64.1 (#19), Qwen3 32B: 40.0 (#125)

BenchmarkGPT-5.5 ProQwen3 32B
GPQA Diamond93.9%65.7%
Vectara Hallucination Rate—5.9%
LMArena Expert—1362

Multilingual Not comparable

GPT-5.5 Pro: —, Qwen3 32B: 45.6 (#167)

BenchmarkGPT-5.5 ProQwen3 32B
LMArena Non-English—1317
LMArena Chinese—1357
LMArena German—1341
LMArena Russian—1311

Instruction Following Not comparable

GPT-5.5 Pro: —, Qwen3 32B: 68.9 (#179)

BenchmarkGPT-5.5 ProQwen3 32B
LMArena Instruction Following—1305

Long Context Not comparable

GPT-5.5 Pro: —, Qwen3 32B: 43.8 (#87)

BenchmarkGPT-5.5 ProQwen3 32B
Fiction.LiveBench—74.2%
LMArena Longer Query—1327

Writing & Preference Not comparable

GPT-5.5 Pro: —, Qwen3 32B: 52.9 (#163)

BenchmarkGPT-5.5 ProQwen3 32B
LMArena Text—1340
LMArena Creative Writing—1297
LMArena Multi-Turn—1331

Frequently asked questions

Is GPT-5.5 Pro better than Qwen3 32B?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 39.2 on the Noometry Index. Qwen3 32B costs 55× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Which is cheaper, GPT-5.5 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-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 131K.

How many benchmarks do GPT-5.5 Pro and Qwen3 32B share?

7 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen3 32B has 26.

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