Noometry

Model comparison

GPT-6 Luna vs Qwen1.5-14B

GPT-6 Luna is the stronger model overall, scoring 53.3 to 32.7 on the Noometry Index.

Last verified . 16 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Qwen1.5-14B Alibaba (Qwen)

32.7

Rank #253 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Qwen1.5-14B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 32.4.
  • Qwen1.5-14B has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaQwen1.5-14B
ProviderOpenAIAlibaba (Qwen)
Noometry Index53.332.7
Released2026-09-222024-02-04
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.50—
Results tracked4217

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Qwen1.5-14B: 33.1 (#263)

BenchmarkGPT-6 LunaQwen1.5-14B
LMArena Coding14391138
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
ALE-Bench1,577—

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Qwen1.5-14B: —

BenchmarkGPT-6 LunaQwen1.5-14B
APEX-Agents44.3%—
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Qwen1.5-14B: 21.4 (#223)

BenchmarkGPT-6 LunaQwen1.5-14B
LMArena Hard Prompts14111113
ARC-AGI-259.3%—
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
Chess Puzzles31%—
Mystery Game Puzzles7%—
DTBench90.1%—
LMCA44.5%—
Epoch Capabilities Index156.28—

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Qwen1.5-14B: 32.4 (#215)

BenchmarkGPT-6 LunaQwen1.5-14B
LMArena Math14161125
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
OTIS Mock AIME 2024-202598.9%—
ProofBench64%—

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Qwen1.5-14B: 29.8 (#232)

BenchmarkGPT-6 LunaQwen1.5-14B
LMArena Expert14441094
GPQA Diamond90.5%—
SimpleQA Verified41.4%—
MMLU—68.6%

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Qwen1.5-14B: —

BenchmarkGPT-6 LunaQwen1.5-14B
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual GPT-6 Luna leads

GPT-6 Luna: 50.5 (#117), Qwen1.5-14B: 30.7 (#262)

BenchmarkGPT-6 LunaQwen1.5-14B
LMArena Non-English13861095
LMArena Chinese14331147
LMArena French14201116
LMArena German13691043
LMArena Japanese13691019
LMArena Russian13941046
LMArena Spanish13931085
LMArena Korean1360—

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.3 (#99), Qwen1.5-14B: 56.8 (#271)

BenchmarkGPT-6 LunaQwen1.5-14B
LMArena Instruction Following14091102

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.0 (#111), Qwen1.5-14B: 33.7 (#257)

BenchmarkGPT-6 LunaQwen1.5-14B
LMArena Longer Query14091113

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Qwen1.5-14B: 33.6 (#276)

BenchmarkGPT-6 LunaQwen1.5-14B
LMArena Text13911128
LMArena Creative Writing13631091
LMArena Multi-Turn13961110

Frequently asked questions

Is GPT-6 Luna better than Qwen1.5-14B?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 32.7 on the Noometry Index.

Is GPT-6 Luna or Qwen1.5-14B better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 33.1 in the Noometry coding category.

How many benchmarks do GPT-6 Luna and Qwen1.5-14B share?

16 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen1.5-14B has 17.

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