Noometry

Model comparison

GPT-6 Luna vs Qwen3 Max

GPT-6 Luna is the stronger model overall, scoring 45.1 to 43.5 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-6 Luna OpenAI

45.1

Rank #65 Confirmed

Qwen3 Max Alibaba (Qwen)

43.5

Rank #82 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-6 Luna scores higher in 3 categories and Qwen3 Max in 5 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GPT-6 Luna leads 54.7 to 42.4.
  • The biggest single-benchmark swing is NYT Connections (extended): 68.7% for GPT-6 Luna and 30.1% for Qwen3 Max.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 262K.

Side by side

GPT-6 LunaQwen3 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index45.143.5
Released2026-09-222025-09-23
WeightsProprietaryProprietary
Context window1.05M262K
Max output128K66K
Input $ / M tokens$0.10$1.20
Output $ / M tokens$0.50$6
Results tracked1833

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 54.7 (#24), Qwen3 Max: 42.4 (#93)

BenchmarkGPT-6 LunaQwen3 Max
LMArena Coding14481456
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1583—
ALE-Bench—370.45

Agentic & Tool Use Not comparable

GPT-6 Luna: —, Qwen3 Max: —

BenchmarkGPT-6 LunaQwen3 Max
Vending-Bench 2—71.56

Reasoning GPT-6 Luna leads

GPT-6 Luna: 31.7 (#68), Qwen3 Max: 22.0 (#186)

BenchmarkGPT-6 LunaQwen3 Max
NYT Connections (extended)68.7%30.1%
LMArena Hard Prompts14151448
Kagi LLM Benchmark—72.5%
Chess Puzzles—4%
Mystery Game Puzzles—5%
DTBench—82.1%
LMCA—28.3%
Epoch Capabilities Index—142.41

Math Qwen3 Max leads

GPT-6 Luna: 35.6 (#140), Qwen3 Max: 37.6 (#94)

BenchmarkGPT-6 LunaQwen3 Max
LMArena Math13961447
FrontierMath (Tiers 1-3)—18.9%
OTIS Mock AIME 2024-2025—73.3%
MATH Level 5—97.1%

Knowledge Qwen3 Max leads

GPT-6 Luna: 40.1 (#110), Qwen3 Max: 48.1 (#72)

BenchmarkGPT-6 LunaQwen3 Max
LMArena Expert14581457
GPQA Diamond—72.6%
SimpleQA Verified—48.7%

Multimodal Not comparable

GPT-6 Luna: 42.0 (#27), Qwen3 Max: —

BenchmarkGPT-6 LunaQwen3 Max
Furniture Assembly44.2%—

Multilingual Qwen3 Max leads

GPT-6 Luna: 51.0 (#111), Qwen3 Max: 53.9 (#58)

BenchmarkGPT-6 LunaQwen3 Max
LMArena Non-English13901429
LMArena Chinese14251479
LMArena Russian13921428
LMArena Spanish14161463
LMArena French—1450
LMArena German—1463
LMArena Japanese—1399
LMArena Korean—1397

Instruction Following Too close to call

GPT-6 Luna: 74.7 (#85), Qwen3 Max: 75.0 (#81)

BenchmarkGPT-6 LunaQwen3 Max
LMArena Instruction Following14141420

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.3 (#95), Qwen3 Max: 41.6 (#129)

BenchmarkGPT-6 LunaQwen3 Max
LMArena Longer Query14171439
Fiction.LiveBench—66.7%
CL-bench—14.5%

Writing & Preference Qwen3 Max leads

GPT-6 Luna: 58.4 (#115), Qwen3 Max: 62.6 (#72)

BenchmarkGPT-6 LunaQwen3 Max
LMArena Text13921439
LMArena Creative Writing13571401
LMArena Multi-Turn14001446

Frequently asked questions

Is GPT-6 Luna better than Qwen3 Max?

GPT-6 Luna is the stronger model overall, scoring 45.1 to 43.5 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Qwen3 Max?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen3 Max lists at $1.20 and $6.

Is GPT-6 Luna or Qwen3 Max better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 42.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 262K.

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

14 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Qwen3 Max has 33.

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