Noometry

Model comparison

GPT-6 Luna vs Qwen-VL Max

GPT-6 Luna has enough public results to be ranked (#36); Qwen-VL Max does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Qwen-VL Max Alibaba (Qwen)

35.9

Unranked Sparse

Summary

  • They share 1 benchmark with published results for both. GPT-6 Luna scores higher in 1 category and Qwen-VL Max in 0 categories; one gap is clear of the uncertainty.
  • The widest gap is in multimodal, where GPT-6 Luna leads 42.4 to 32.3.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.80 / $3.20 for Qwen-VL Max.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 131K.

Side by side

GPT-6 LunaQwen-VL Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index53.335.9
Released2026-09-222024-01-18
WeightsProprietaryProprietary
Context window1.05M131K
Max output128K8K
Input $ / M tokens$0.10$0.80
Output $ / M tokens$0.50$3.20
Results tracked423

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Category by category

Coding Not comparable

GPT-6 Luna: 55.5 (#25), Qwen-VL Max: —

BenchmarkGPT-6 LunaQwen-VL Max
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1581—
SciCode54.6%—
LMArena Coding1439—
ALE-Bench1,577—

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Qwen-VL Max: —

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

Reasoning Not comparable

GPT-6 Luna: 48.2 (#41), Qwen-VL Max: —

BenchmarkGPT-6 LunaQwen-VL Max
ARC-AGI-259.3%—
NYT Connections (extended)68.7%—
ARC-AGI-186.7%—
CritPt19.4%—
Chess Puzzles31%—
LMArena Hard Prompts1411—
Mystery Game Puzzles7%—
DTBench90.1%—
LMCA44.5%—
Epoch Capabilities Index156.28—

Math Not comparable

GPT-6 Luna: 76.1 (#15), Qwen-VL Max: —

BenchmarkGPT-6 LunaQwen-VL Max
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
OTIS Mock AIME 2024-202598.9%—
ProofBench64%—
LMArena Math1416—

Knowledge Not comparable

GPT-6 Luna: 57.0 (#41), Qwen-VL Max: —

BenchmarkGPT-6 LunaQwen-VL Max
GPQA Diamond90.5%—
SimpleQA Verified41.4%—
LMArena Expert1444—

Multimodal GPT-6 Luna leads

GPT-6 Luna: 42.4 (#30), Qwen-VL Max: 32.3 (#101)

BenchmarkGPT-6 LunaQwen-VL Max
LMArena Vision12171213
Video-MME—51.3%
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—
SpatialViz-Bench—32%

Multilingual Not comparable

GPT-6 Luna: 50.5 (#117), Qwen-VL Max: —

BenchmarkGPT-6 LunaQwen-VL Max
LMArena Non-English1386—
LMArena Chinese1433—
LMArena French1420—
LMArena German1369—
LMArena Japanese1369—
LMArena Korean1360—
LMArena Russian1394—
LMArena Spanish1393—

Instruction Following Not comparable

GPT-6 Luna: 74.3 (#99), Qwen-VL Max: —

BenchmarkGPT-6 LunaQwen-VL Max
LMArena Instruction Following1409—

Long Context Not comparable

GPT-6 Luna: 43.0 (#111), Qwen-VL Max: —

BenchmarkGPT-6 LunaQwen-VL Max
LMArena Longer Query1409—

Writing & Preference Not comparable

GPT-6 Luna: 58.3 (#119), Qwen-VL Max: —

BenchmarkGPT-6 LunaQwen-VL Max
LMArena Text1391—
LMArena Creative Writing1363—
LMArena Multi-Turn1396—

Frequently asked questions

Is GPT-6 Luna better than Qwen-VL Max?

GPT-6 Luna has enough public results to be ranked (#36); Qwen-VL Max does not yet, so treat this comparison as directional.

Which is cheaper, GPT-6 Luna or Qwen-VL Max?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen-VL Max lists at $0.80 and $3.20.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 131K.

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

1 benchmark has published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen-VL Max has 3.

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