Noometry

Model comparison

GPT-6 Luna vs Qwen Plus

GPT-6 Luna is the stronger model overall, scoring 53.3 to 37.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Qwen Plus Alibaba (Qwen)

37.1

Rank #210 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Qwen Plus in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 23.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for GPT-6 Luna and 17.8% for Qwen Plus.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.40 / $1.20 for Qwen Plus.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-6 LunaQwen Plus
ProviderOpenAIAlibaba (Qwen)
Noometry Index53.337.1
Released2026-09-222024-01-25
WeightsProprietaryProprietary
Context window1.05M1M
Max output128K33K
Input $ / M tokens$0.10$0.40
Output $ / M tokens$0.50$1.20
Results tracked4220

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Qwen Plus: 38.9 (#167)

BenchmarkGPT-6 LunaQwen Plus
LMArena Coding14391328
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
ALE-Bench1,577—

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Qwen Plus: —

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

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Qwen Plus: 28.4 (#107)

BenchmarkGPT-6 LunaQwen Plus
LMArena Hard Prompts14111317
DTBench90.1%81.1%
LMCA44.5%24%
ARC-AGI-259.3%—
Kagi LLM Benchmark—63.3%
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
Chess Puzzles31%—
Mystery Game Puzzles7%—
Epoch Capabilities Index156.28—

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Qwen Plus: 23.3 (#271)

BenchmarkGPT-6 LunaQwen Plus
OTIS Mock AIME 2024-202598.9%17.8%
LMArena Math14161326
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
ProofBench64%—
MATH Level 5—65.3%
FrontierMath (Feb 2025 set)—1.7%

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Qwen Plus: 27.4 (#251)

BenchmarkGPT-6 LunaQwen Plus
GPQA Diamond90.5%48.1%
LMArena Expert14441328
SimpleQA Verified41.4%—

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Qwen Plus: —

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

Multilingual GPT-6 Luna leads

GPT-6 Luna: 50.5 (#117), Qwen Plus: 45.1 (#175)

BenchmarkGPT-6 LunaQwen Plus
LMArena Non-English13861310
LMArena Chinese14331347
LMArena Japanese13691251
LMArena Russian13941323
LMArena French1420—
LMArena German1369—
LMArena Korean1360—
LMArena Spanish1393—

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.3 (#99), Qwen Plus: 68.8 (#181)

BenchmarkGPT-6 LunaQwen Plus
LMArena Instruction Following14091303

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.0 (#111), Qwen Plus: 40.3 (#158)

BenchmarkGPT-6 LunaQwen Plus
LMArena Longer Query14091324

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.3 (#119), Qwen Plus: 52.2 (#176)

BenchmarkGPT-6 LunaQwen Plus
LMArena Text13911326
LMArena Creative Writing13631293
LMArena Multi-Turn13961336

Frequently asked questions

Is GPT-6 Luna better than Qwen Plus?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 37.1 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Qwen Plus?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen Plus lists at $0.40 and $1.20.

Is GPT-6 Luna or Qwen Plus better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 1M.

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

17 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen Plus has 20.

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