Noometry

Model comparison

GPT-6 Luna vs Qwen Turbo

GPT-6 Luna is the stronger model overall, scoring 53.3 to 27.1 on the Noometry Index. Qwen Turbo costs 2.3× less per token, which makes it the better buy when GPT-6 Luna's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Qwen Turbo Alibaba (Qwen)

27.1

Rank #335 Reported

Summary

  • They share 2 benchmarks with published results for both. GPT-6 Luna scores higher in 2 categories and Qwen Turbo in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 15.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for GPT-6 Luna and 6.1% for Qwen Turbo.
  • Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.10 / $0.50 for GPT-6 Luna.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-6 LunaQwen Turbo
ProviderOpenAIAlibaba (Qwen)
Noometry Index53.327.1
Released2026-09-222024-11-01
WeightsProprietaryProprietary
Context window1.05M1M
Max output128K16K
Input $ / M tokens$0.10$0.05
Output $ / M tokens$0.50$0.20
Results tracked423

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Category by category

Coding Not comparable

GPT-6 Luna: 55.5 (#25), Qwen Turbo: —

BenchmarkGPT-6 LunaQwen Turbo
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 Turbo: —

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

Reasoning Not comparable

GPT-6 Luna: 48.2 (#41), Qwen Turbo: —

BenchmarkGPT-6 LunaQwen Turbo
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 GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Qwen Turbo: 15.3 (#297)

BenchmarkGPT-6 LunaQwen Turbo
OTIS Mock AIME 2024-202598.9%6.1%
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
ProofBench64%—
LMArena Math1416—
MATH Level 5—56.2%

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Qwen Turbo: 22.2 (#272)

BenchmarkGPT-6 LunaQwen Turbo
GPQA Diamond90.5%41.8%
SimpleQA Verified41.4%—
LMArena Expert1444—

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Qwen Turbo: —

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

Multilingual Not comparable

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

BenchmarkGPT-6 LunaQwen Turbo
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 Turbo: —

BenchmarkGPT-6 LunaQwen Turbo
LMArena Instruction Following1409—

Long Context Not comparable

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

BenchmarkGPT-6 LunaQwen Turbo
LMArena Longer Query1409—

Writing & Preference Not comparable

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

BenchmarkGPT-6 LunaQwen Turbo
LMArena Text1391—
LMArena Creative Writing1363—
LMArena Multi-Turn1396—

Frequently asked questions

Is GPT-6 Luna better than Qwen Turbo?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 27.1 on the Noometry Index. Qwen Turbo costs 2.3× less per token, which makes it the better buy when GPT-6 Luna's lead doesn't matter for your workload.

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

Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; GPT-6 Luna lists at $0.10 and $0.50.

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 Turbo share?

2 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen Turbo has 3.

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