Noometry

Model comparison

GPT-6 Luna vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 53.3 on the Noometry Index. GPT-6 Luna costs 15× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

Last verified . 37 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 37 benchmarks with published results for both. GPT-6 Luna scores higher in 3 categories and Qwen3.8 Max in 7 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in agentic & tool use, where Qwen3.8 Max leads 45.4 to 33.3.
  • The biggest single-benchmark swing is Mystery Game Puzzles: 7% for GPT-6 Luna and 38% for Qwen3.8 Max.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $2 / $6 for Qwen3.8 Max.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-6 LunaQwen3.8 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index53.356.8
Released2026-09-222026-08-02
WeightsProprietaryProprietary
Context window1.05M1M
Max output128K131K
Input $ / M tokens$0.10$2
Output $ / M tokens$0.50$6
Results tracked4239

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Qwen3.8 Max: 53.5 (#29)

BenchmarkGPT-6 LunaQwen3.8 Max
DeepSWE66.6%57.5%
LMArena WebDev15811674
SciCode54.6%53.2%
LMArena Coding14391502
FrontierCode42.4%—
FrontierSWE—17.8%
ALE-Bench1,577—

Agentic & Tool Use Qwen3.8 Max leads

GPT-6 Luna: 33.3 (#54), Qwen3.8 Max: 45.4 (#14)

BenchmarkGPT-6 LunaQwen3.8 Max
APEX-Agents44.3%63.3%
GDP.pdf23%23.2%
τ²-bench Banking—55.1%

Reasoning Qwen3.8 Max leads

GPT-6 Luna: 48.2 (#41), Qwen3.8 Max: 54.4 (#26)

BenchmarkGPT-6 LunaQwen3.8 Max
NYT Connections (extended)68.7%88.3%
CritPt19.4%20%
Chess Puzzles31%40%
LMArena Hard Prompts14111496
Mystery Game Puzzles7%38%
DTBench90.1%92%
LMCA44.5%46.2%
Epoch Capabilities Index156.28156.41
ARC-AGI-259.3%—
ARC-AGI-186.7%—

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Qwen3.8 Max: 73.2 (#20)

BenchmarkGPT-6 LunaQwen3.8 Max
FrontierMath (Tiers 1-3)78.9%74.7%
FrontierMath Tier 456.1%46.3%
OTIS Mock AIME 2024-202598.9%100%
ProofBench64%58%
LMArena Math14161499

Knowledge Qwen3.8 Max leads

GPT-6 Luna: 57.0 (#41), Qwen3.8 Max: 61.7 (#27)

BenchmarkGPT-6 LunaQwen3.8 Max
GPQA Diamond90.5%92.7%
SimpleQA Verified41.4%47.3%
LMArena Expert14441507

Multimodal GPT-6 Luna leads

GPT-6 Luna: 42.4 (#30), Qwen3.8 Max: 37.2 (#75)

BenchmarkGPT-6 LunaQwen3.8 Max
LMArena Vision12171314
Furniture Assembly44.2%20%
Blueprint-Bench 231.2%—

Multilingual Qwen3.8 Max leads

GPT-6 Luna: 50.5 (#117), Qwen3.8 Max: 56.7 (#18)

BenchmarkGPT-6 LunaQwen3.8 Max
LMArena Non-English13861472
LMArena Chinese14331538
LMArena French14201503
LMArena German13691483
LMArena Japanese13691467
LMArena Korean13601461
LMArena Russian13941481
LMArena Spanish13931492

Instruction Following Qwen3.8 Max leads

GPT-6 Luna: 74.3 (#99), Qwen3.8 Max: 77.6 (#17)

BenchmarkGPT-6 LunaQwen3.8 Max
LMArena Instruction Following14091479

Long Context Qwen3.8 Max leads

GPT-6 Luna: 43.0 (#111), Qwen3.8 Max: 45.6 (#31)

BenchmarkGPT-6 LunaQwen3.8 Max
LMArena Longer Query14091489

Writing & Preference Qwen3.8 Max leads

GPT-6 Luna: 58.3 (#119), Qwen3.8 Max: 67.1 (#30)

BenchmarkGPT-6 LunaQwen3.8 Max
LMArena Text13911483
LMArena Creative Writing13631479
LMArena Multi-Turn13961489

Frequently asked questions

Is GPT-6 Luna better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 53.3 on the Noometry Index. GPT-6 Luna costs 15× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

Which is cheaper, GPT-6 Luna or Qwen3.8 Max?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen3.8 Max lists at $2 and $6.

Is GPT-6 Luna or Qwen3.8 Max better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 53.5 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 Qwen3.8 Max share?

37 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen3.8 Max has 39.

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