Noometry

Model comparison

GPT-6 Luna vs Qwen-14B

GPT-6 Luna is the stronger model overall, scoring 53.3 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GPT-6 Luna scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 31.2.
  • Qwen-14B has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaQwen-14B
ProviderOpenAIAlibaba (Qwen)
Noometry Index53.331.4
Released2026-09-222023-09-24
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.50—
Results tracked4218

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Qwen-14B: 31.2 (#288)

BenchmarkGPT-6 LunaQwen-14B
LMArena Coding14391071
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
ALE-Bench1,577—

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Qwen-14B: —

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

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Qwen-14B: 19.6 (#257)

BenchmarkGPT-6 LunaQwen-14B
LMArena Hard Prompts14111027
Epoch Capabilities Index156.28113.03
ARC-AGI-259.3%—
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
Chess Puzzles31%—
Mystery Game Puzzles7%—
DTBench90.1%—
LMCA44.5%—
BIG-Bench Hard—55%
LAMBADA—71.1%
PIQA—79.9%

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Qwen-14B: 31.2 (#227)

BenchmarkGPT-6 LunaQwen-14B
LMArena Math14161068
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
OTIS Mock AIME 2024-202598.9%—
ProofBench64%—
GSM8K—61.3%

Knowledge Not comparable

GPT-6 Luna: 57.0 (#41), Qwen-14B: —

BenchmarkGPT-6 LunaQwen-14B
GPQA Diamond90.5%—
SimpleQA Verified41.4%—
LMArena Expert1444—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Qwen-14B: —

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

Multilingual GPT-6 Luna leads

GPT-6 Luna: 50.5 (#117), Qwen-14B: 27.5 (#275)

BenchmarkGPT-6 LunaQwen-14B
LMArena Non-English13861041
LMArena Chinese14331077
LMArena French1420—
LMArena German1369—
LMArena Japanese1369—
LMArena Korean1360—
LMArena Russian1394—
LMArena Spanish1393—

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.3 (#99), Qwen-14B: 52.4 (#289)

BenchmarkGPT-6 LunaQwen-14B
LMArena Instruction Following14091031

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.0 (#111), Qwen-14B: 31.3 (#280)

BenchmarkGPT-6 LunaQwen-14B
LMArena Longer Query14091028

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Qwen-14B: 27.6 (#299)

BenchmarkGPT-6 LunaQwen-14B
LMArena Text13911051
LMArena Creative Writing13631028
LMArena Multi-Turn13961022

Frequently asked questions

Is GPT-6 Luna better than Qwen-14B?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 31.4 on the Noometry Index.

Is GPT-6 Luna or Qwen-14B better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 31.2 in the Noometry coding category.

How many benchmarks do GPT-6 Luna and Qwen-14B share?

11 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen-14B has 18.

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