Noometry

Model comparison

GPT-6 Luna vs Qwen3.7 Plus

GPT-6 Luna and Qwen3.7 Plus score almost the same on the Noometry Index (45.1 vs 45.0), so choose on price, context window or the category you care about most.

Last verified . 15 shared benchmarks.

GPT-6 Luna OpenAI

45.1

Rank #65 Confirmed

Qwen3.7 Plus Alibaba (Qwen)

45.0

Rank #66 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GPT-6 Luna scores higher in 2 categories and Qwen3.7 Plus in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GPT-6 Luna leads 54.7 to 36.1.
  • The biggest single-benchmark swing is FrontierCode: 42.4% for GPT-6 Luna and 10.2% for Qwen3.7 Plus.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-6 LunaQwen3.7 Plus
ProviderOpenAIAlibaba (Qwen)
Noometry Index45.145.0
Released2026-09-222026-06-02
WeightsProprietaryProprietary
Context window1.05M1M
Max output128K131K
Input $ / M tokens$0.10$0.40
Output $ / M tokens$0.50$1.60
Results tracked1832

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 54.7 (#24), Qwen3.7 Plus: 36.1 (#200)

BenchmarkGPT-6 LunaQwen3.7 Plus
FrontierCode42.4%10.2%
LMArena Coding14481473
DeepSWE66.6%—
LMArena WebDev1583—
SciCode—45.5%

Agentic & Tool Use Not comparable

GPT-6 Luna: —, Qwen3.7 Plus: 21.2 (#130)

BenchmarkGPT-6 LunaQwen3.7 Plus
OSWorld 2.0—2.8%

Reasoning Qwen3.7 Plus leads

GPT-6 Luna: 31.7 (#68), Qwen3.7 Plus: 38.4 (#54)

BenchmarkGPT-6 LunaQwen3.7 Plus
NYT Connections (extended)68.7%74.8%
LMArena Hard Prompts14151460
CritPt—9.1%
Chess Puzzles—24%
Mystery Game Puzzles—17%
DTBench—84%
LMCA—37.6%
Epoch Capabilities Index—147.39

Math Qwen3.7 Plus leads

GPT-6 Luna: 35.6 (#140), Qwen3.7 Plus: 49.3 (#47)

BenchmarkGPT-6 LunaQwen3.7 Plus
LMArena Math13961467
FrontierMath (Tiers 1-3)—34.4%
OTIS Mock AIME 2024-2025—93.3%

Knowledge Qwen3.7 Plus leads

GPT-6 Luna: 40.1 (#110), Qwen3.7 Plus: 54.9 (#46)

BenchmarkGPT-6 LunaQwen3.7 Plus
LMArena Expert14581467
GPQA Diamond—87.9%

Multimodal Too close to call

GPT-6 Luna: 42.0 (#27), Qwen3.7 Plus: 41.2 (#30)

BenchmarkGPT-6 LunaQwen3.7 Plus
LMArena Vision—1281
Furniture Assembly44.2%—
LMArena Document—1444

Multilingual Qwen3.7 Plus leads

GPT-6 Luna: 51.0 (#111), Qwen3.7 Plus: 55.0 (#36)

BenchmarkGPT-6 LunaQwen3.7 Plus
LMArena Non-English13901445
LMArena Chinese14251510
LMArena Russian13921457
LMArena Spanish14161453
LMArena French—1471
LMArena German—1471
LMArena Japanese—1411
LMArena Korean—1416

Instruction Following Qwen3.7 Plus leads

GPT-6 Luna: 74.7 (#85), Qwen3.7 Plus: 75.9 (#49)

BenchmarkGPT-6 LunaQwen3.7 Plus
LMArena Instruction Following14141439

Long Context Qwen3.7 Plus leads

GPT-6 Luna: 43.3 (#95), Qwen3.7 Plus: 44.5 (#61)

BenchmarkGPT-6 LunaQwen3.7 Plus
LMArena Longer Query14171454

Writing & Preference Qwen3.7 Plus leads

GPT-6 Luna: 58.4 (#115), Qwen3.7 Plus: 64.5 (#54)

BenchmarkGPT-6 LunaQwen3.7 Plus
LMArena Text13921454
LMArena Creative Writing13571439
LMArena Multi-Turn14001459

Frequently asked questions

Is GPT-6 Luna better than Qwen3.7 Plus?

GPT-6 Luna and Qwen3.7 Plus score almost the same on the Noometry Index (45.1 vs 45.0), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-6 Luna or Qwen3.7 Plus?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.

Is GPT-6 Luna or Qwen3.7 Plus better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 36.1 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 Qwen3.7 Plus share?

15 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Qwen3.7 Plus has 32.

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