Model comparison

GPT-6 Luna vs Laguna M.1

GPT-6 Luna is the stronger model overall, scoring 53.3 to 32.5 on the Noometry Index.

Last verified . 2 shared benchmarks.

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Laguna M.1 Poolside

32.5

Rank #256 Reported

Summary

  • They share 2 benchmarks with published results for both. GPT-6 Luna scores higher in 3 categories and Laguna M.1 in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 21.1.
  • The biggest single-benchmark swing is ProofBench: 64% for GPT-6 Luna and 0% for Laguna M.1.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 262K.
  • Laguna M.1 has downloadable open weights; the other is API-only.

Side by side

GPT-6 Luna and Laguna M.1 specifications
GPT-6 LunaLaguna M.1
ProviderOpenAIPoolside
Noometry Index53.332.5
Released2026-09-222026-04-28
WeightsProprietaryOpen
Context window1.05M262K
Max output128K33K
Input $ / M tokens$0.10—
Output $ / M tokens$0.50—
Results tracked423

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 55.5 (#25), Laguna M.1: 36.6 (#204)

Coding benchmarks
BenchmarkGPT-6 LunaLaguna M.1
LMArena WebDev15811349
DeepSWE66.6%—
FrontierCode42.4%—
SciCode54.6%—
LMArena Coding1439—
ALE-Bench1,577—

Agentic & Tool Use Not comparable

GPT-6 Luna: 33.3 (#54), Laguna M.1: —

Agentic & Tool Use benchmarks
BenchmarkGPT-6 LunaLaguna M.1
APEX-Agents44.3%—
GDP.pdf23%—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 48.2 (#41), Laguna M.1: 23.1 (#184)

Reasoning benchmarks
BenchmarkGPT-6 LunaLaguna M.1
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%—
Surface Evolver Bench—15.6%
Epoch Capabilities Index156.28—

Math GPT-6 Luna leads

GPT-6 Luna: 76.1 (#15), Laguna M.1: 21.1 (#283)

Math benchmarks
BenchmarkGPT-6 LunaLaguna M.1
ProofBench64%0%
FrontierMath (Tiers 1-3)78.9%—
FrontierMath Tier 456.1%—
OTIS Mock AIME 2024-202598.9%—
LMArena Math1416—

Knowledge Not comparable

GPT-6 Luna: 57.0 (#41), Laguna M.1: —

Knowledge benchmarks
BenchmarkGPT-6 LunaLaguna M.1
GPQA Diamond90.5%—
SimpleQA Verified41.4%—
LMArena Expert1444—

Multimodal Not comparable

GPT-6 Luna: 42.4 (#30), Laguna M.1: —

Multimodal benchmarks
BenchmarkGPT-6 LunaLaguna M.1
LMArena Vision1217—
Blueprint-Bench 231.2%—
Furniture Assembly44.2%—

Multilingual Not comparable

GPT-6 Luna: 50.5 (#117), Laguna M.1: —

Multilingual benchmarks
BenchmarkGPT-6 LunaLaguna M.1
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), Laguna M.1: —

Instruction Following benchmarks
BenchmarkGPT-6 LunaLaguna M.1
LMArena Instruction Following1409—

Long Context Not comparable

GPT-6 Luna: 43.0 (#111), Laguna M.1: —

Long Context benchmarks
BenchmarkGPT-6 LunaLaguna M.1
LMArena Longer Query1409—

Writing & Preference Not comparable

GPT-6 Luna: 58.3 (#119), Laguna M.1: —

Writing & Preference benchmarks
BenchmarkGPT-6 LunaLaguna M.1
LMArena Text1391—
LMArena Creative Writing1363—
LMArena Multi-Turn1396—

Frequently asked questions

Is GPT-6 Luna better than Laguna M.1?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 32.5 on the Noometry Index.

Is GPT-6 Luna or Laguna M.1 better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 36.6 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 Laguna M.1 share?

2 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Laguna M.1 has 3.

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