Noometry

Model comparison

GPT-6 Luna vs Hy3

GPT-6 Luna is the stronger model overall, scoring 53.3 to 44.2 on the Noometry Index.

Last verified . 19 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Hy3 Tencent

44.2

Rank #79 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GPT-6 Luna scores higher in 4 categories and Hy3 in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 40.1.
  • The biggest single-benchmark swing is NYT Connections (extended): 68.7% for GPT-6 Luna and 41.2% for Hy3.
  • Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.10 / $0.50 for GPT-6 Luna.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 262K.
  • Hy3 has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaHy3
ProviderOpenAITencent
Noometry Index53.344.2
Released2026-09-222026-07-06
WeightsProprietaryOpen
Context window1.05M262K
Max output128K128K
Input $ / M tokens$0.10$0.0825
Output $ / M tokens$0.50$0.33
Results tracked4219

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Hy3: 46.8 (#63)

BenchmarkGPT-6 LunaHy3
LMArena WebDev15811508
LMArena Coding14391464
DeepSWE66.6%—
FrontierCode42.4%—
SciCode54.6%—
ALE-Bench1,577—

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Hy3: —

BenchmarkGPT-6 LunaHy3
APEX-Agents44.3%—
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Hy3: 26.1 (#136)

BenchmarkGPT-6 LunaHy3
NYT Connections (extended)68.7%41.2%
LMArena Hard Prompts14111447
ARC-AGI-259.3%—
ARC-AGI-186.7%—
CritPt19.4%—
Chess Puzzles31%—
Mystery Game Puzzles7%—
DTBench90.1%—
LMCA44.5%—
Epoch Capabilities Index156.28—

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Hy3: 40.1 (#93)

BenchmarkGPT-6 LunaHy3
LMArena Math14161475
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
OTIS Mock AIME 2024-202598.9%—
ProofBench64%—

Knowledge GPT-6 Luna leads

GPT-6 Luna: 57.0 (#41), Hy3: 40.8 (#114)

BenchmarkGPT-6 LunaHy3
LMArena Expert14441460
GPQA Diamond90.5%—
SimpleQA Verified41.4%—

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Hy3: —

BenchmarkGPT-6 LunaHy3
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual Hy3 leads

GPT-6 Luna: 50.5 (#117), Hy3: 53.5 (#65)

BenchmarkGPT-6 LunaHy3
LMArena Non-English13861426
LMArena Chinese14331493
LMArena French14201461
LMArena German13691439
LMArena Japanese13691392
LMArena Korean13601395
LMArena Russian13941432
LMArena Spanish13931456

Instruction Following Too close to call

GPT-6 Luna: 74.3 (#99), Hy3: 75.1 (#70)

BenchmarkGPT-6 LunaHy3
LMArena Instruction Following14091426

Long Context Hy3 leads

GPT-6 Luna: 43.0 (#111), Hy3: 44.1 (#75)

BenchmarkGPT-6 LunaHy3
LMArena Longer Query14091442

Writing & Preference Hy3 leads

GPT-6 Luna: 58.3 (#119), Hy3: 62.2 (#81)

BenchmarkGPT-6 LunaHy3
LMArena Text13911439
LMArena Creative Writing13631402
LMArena Multi-Turn13961436

Frequently asked questions

Is GPT-6 Luna better than Hy3?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 44.2 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Hy3?

Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; GPT-6 Luna lists at $0.10 and $0.50.

Is GPT-6 Luna or Hy3 better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 46.8 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 Hy3 share?

19 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Hy3 has 19.

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