Noometry

Model comparison

GPT-6 Luna vs Qwen3 32B

GPT-6 Luna is the stronger model overall, scoring 53.3 to 39.2 on the Noometry Index.

Last verified . 21 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Qwen3 32B in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 39.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for GPT-6 Luna and 66.9% for Qwen3 32B.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 131K.
  • Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaQwen3 32B
ProviderOpenAIAlibaba (Qwen)
Noometry Index53.339.2
Released2026-09-222025-04
WeightsProprietaryOpen
Context window1.05M131K
Max output128K16K
Input $ / M tokens$0.10$0.70
Output $ / M tokens$0.50$2.80
Results tracked4226

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Qwen3 32B: 37.7 (#190)

BenchmarkGPT-6 LunaQwen3 32B
SciCode54.6%35.4%
LMArena Coding14391358
DeepSWE66.6%—
FrontierCode42.4%—
Aider Polyglot—40%
LMArena WebDev1581—
ALE-Bench1,577—

Agentic & Tool Use Too close to call

GPT-6 Luna: 33.3 (#54), Qwen3 32B: 32.6 (#62)

BenchmarkGPT-6 LunaQwen3 32B
APEX-Agents44.3%—
Berkeley Function Calling Leaderboard—48.7%
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Qwen3 32B: 20.2 (#241)

BenchmarkGPT-6 LunaQwen3 32B
CritPt19.4%0.3%
Chess Puzzles31%5%
LMArena Hard Prompts14111334
DTBench90.1%67.5%
LMCA44.5%17.3%
Epoch Capabilities Index156.28138.51
ARC-AGI-259.3%—
Kagi LLM Benchmark—54.9%
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
Mystery Game Puzzles7%—

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Qwen3 32B: 39.7 (#99)

BenchmarkGPT-6 LunaQwen3 32B
OTIS Mock AIME 2024-202598.9%66.9%
LMArena Math14161399
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
ProofBench64%—

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Qwen3 32B: 40.0 (#125)

BenchmarkGPT-6 LunaQwen3 32B
GPQA Diamond90.5%65.7%
LMArena Expert14441362
SimpleQA Verified41.4%—
Vectara Hallucination Rate—5.9%

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Qwen3 32B: —

BenchmarkGPT-6 LunaQwen3 32B
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual GPT-6 Luna leads

GPT-6 Luna: 50.5 (#117), Qwen3 32B: 45.6 (#167)

BenchmarkGPT-6 LunaQwen3 32B
LMArena Non-English13861317
LMArena Chinese14331357
LMArena German13691341
LMArena Russian13941311
LMArena French1420—
LMArena Japanese1369—
LMArena Korean1360—
LMArena Spanish1393—

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.3 (#99), Qwen3 32B: 68.9 (#179)

BenchmarkGPT-6 LunaQwen3 32B
LMArena Instruction Following14091305

Long Context Too close to call

GPT-6 Luna: 43.0 (#111), Qwen3 32B: 43.8 (#87)

BenchmarkGPT-6 LunaQwen3 32B
LMArena Longer Query14091327
Fiction.LiveBench—74.2%

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Qwen3 32B: 52.9 (#163)

BenchmarkGPT-6 LunaQwen3 32B
LMArena Text13911340
LMArena Creative Writing13631297
LMArena Multi-Turn13961331

Frequently asked questions

Is GPT-6 Luna better than Qwen3 32B?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 39.2 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Qwen3 32B?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

Is GPT-6 Luna or Qwen3 32B better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 37.7 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 131K.

How many benchmarks do GPT-6 Luna and Qwen3 32B share?

21 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen3 32B has 26.

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